{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,20]],"date-time":"2026-05-20T16:27:57Z","timestamp":1779294477440,"version":"3.51.4"},"reference-count":211,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2023,1,11]],"date-time":"2023-01-11T00:00:00Z","timestamp":1673395200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,11]],"date-time":"2023-01-11T00:00:00Z","timestamp":1673395200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Sci. China Inf. Sci."],"published-print":{"date-parts":[[2023,2]]},"DOI":"10.1007\/s11432-022-3566-4","type":"journal-article","created":{"date-parts":[[2023,1,14]],"date-time":"2023-01-14T16:02:47Z","timestamp":1673712167000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":38,"title":["Applications and prospects of artificial intelligence in covert satellite communication: a review"],"prefix":"10.1007","volume":"66","author":[{"given":"Kun","family":"Lu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Heng","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liang","family":"Zeng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiayu","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhongshan","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianping","family":"An","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,1,11]]},"reference":[{"key":"3566_CR1","doi-asserted-by":"publisher","first-page":"110301","DOI":"10.1007\/s11432-020-2955-6","volume":"64","author":"X H You","year":"2021","unstructured":"You X H, Wang C-X, Huang J, et al. Towards 6G wireless communication networks: vision, enabling technologies, and new paradigm shifts. Sci China Inf Sci, 2021, 64: 110301","journal-title":"Sci China Inf Sci"},{"key":"3566_CR2","doi-asserted-by":"publisher","first-page":"180304","DOI":"10.1007\/s11432-019-2920-0","volume":"63","author":"D K Liu","year":"2020","unstructured":"Liu D K, Zhang Z S, Ke S, et al. Joint angle delay estimation in terahertz large-scale array system. Sci China Inf Sci, 2020, 63: 180304","journal-title":"Sci China Inf Sci"},{"key":"3566_CR3","doi-asserted-by":"publisher","first-page":"161301","DOI":"10.1007\/s11432-019-2928-9","volume":"64","author":"C H Wang","year":"2021","unstructured":"Wang C H, Zhang Z S, Wu J Y, et al. An overview of protected satellite communications in intelligent age. Sci China Inf Sci, 2021, 64: 161301","journal-title":"Sci China Inf Sci"},{"key":"3566_CR4","doi-asserted-by":"publisher","first-page":"202304","DOI":"10.1007\/s11432-020-2853-9","volume":"63","author":"S Ke","year":"2020","unstructured":"Ke S, An J P, Wang S. Synthesis-free directional modulation for retrodirective frequency diverse array. Sci China Inf Sci, 2020, 63: 202304","journal-title":"Sci China Inf Sci"},{"key":"3566_CR5","doi-asserted-by":"crossref","unstructured":"Yue P, An J, Zhang J, et al. On the security of LEO satellite communication systems: Vulnerabilities, countermeasures, and future trends. 2022. arXiv.2201.03063","DOI":"10.36227\/techrxiv.18093941"},{"key":"3566_CR6","doi-asserted-by":"publisher","first-page":"1062","DOI":"10.1109\/5.771065","volume":"87","author":"F A P Petitcolas","year":"1999","unstructured":"Petitcolas F A P, Anderson R J, Kuhn M G. Information hiding\u2014a survey. Proc IEEE, 1999, 87: 1062\u20131078","journal-title":"Proc IEEE"},{"key":"3566_CR7","doi-asserted-by":"publisher","first-page":"5363","DOI":"10.1109\/ACCESS.2019.2963320","volume":"8","author":"C Chen","year":"2019","unstructured":"Chen C, Wang S, Li L, et al. Intelligent covert satellite communication for military robot swarm. IEEE Access, 2019, 8: 5363\u20135382","journal-title":"IEEE Access"},{"key":"3566_CR8","first-page":"2817","volume":"46","author":"A-H Xie","year":"2018","unstructured":"Xie A-H, Zhu L-D, Zhai J-Q, et al. A method of designing covert DSSS-signal for anti-blind detection (in Chinese). Acta Electron Sin, 2018, 46: 2817\u20132823","journal-title":"Acta Electron Sin"},{"key":"3566_CR9","doi-asserted-by":"publisher","first-page":"1998","DOI":"10.1109\/TCOMM.2013.021913.120858","volume":"61","author":"S Wang","year":"2013","unstructured":"Wang S, Chen S, Wang A, et al. Joint timing and channel estimation for bandlimited long-code-based MC-DS-CDMA: a low-complexity near-optimal algorithm and the CRLB. IEEE Trans Commun, 2013, 61: 1998\u20132011","journal-title":"IEEE Trans Commun"},{"key":"3566_CR10","doi-asserted-by":"crossref","unstructured":"Liu Y, Ning P, Dai H, et al. Randomized differential DSSS: jamming-resistant wireless broadcast communication. In: Proceedings of the 29th Conference on Information Communications, San Diego, 2010. 695\u2013703","DOI":"10.1109\/INFCOM.2010.5462156"},{"key":"3566_CR11","doi-asserted-by":"publisher","first-page":"1685","DOI":"10.1109\/TIT.2010.2040888","volume":"56","author":"J H Chung","year":"2010","unstructured":"Chung J H, Yang K. Optimal frequency-hopping sequences with new parameters. IEEE Trans Inform Theor, 2010, 56: 1685\u20131693","journal-title":"IEEE Trans Inform Theor"},{"key":"3566_CR12","doi-asserted-by":"publisher","first-page":"140311","DOI":"10.1007\/s11432-019-2765-7","volume":"63","author":"S X Luo","year":"2020","unstructured":"Luo S X, Zhang Z S, Wang S, et al. Network for hypersonic UCAV swarms. Sci China Inf Sci, 2020, 63: 140311","journal-title":"Sci China Inf Sci"},{"key":"3566_CR13","first-page":"21","volume":"42","author":"L Gao","year":"2016","unstructured":"Gao L, Zhang Y, Pan S. Research on power control strategy in satellite overlap communication system (in Chinese). Radio Commun Tech, 2016, 42: 21\u201323, 27","journal-title":"Radio Commun Tech"},{"key":"3566_CR14","doi-asserted-by":"crossref","unstructured":"Xue R, Wang Y. A satellite overlapping covert communication scheme based on LDPC-DCSK transmission technology. In: Proceedings of the 9th International Conference on Networks, Communication and Computing, Tokyo, 2020","DOI":"10.1145\/3447654.3447675"},{"key":"3566_CR15","first-page":"57","volume":"26","author":"B Zhang","year":"2005","unstructured":"Zhang B, Zhang J, Guo D. Overlay communication based on satellite with DSSS signal (in Chinese). J Commun, 2005, 26: 57\u201362","journal-title":"J Commun"},{"key":"3566_CR16","doi-asserted-by":"publisher","first-page":"2560","DOI":"10.1016\/j.sigpro.2007.04.012","volume":"87","author":"T Koivisto","year":"2007","unstructured":"Koivisto T, Koivunen V. Blind despreading of short-code DS-CDMA signals in asynchronous multi-user systems. Signal Processing, 2007, 87: 2560\u20132568","journal-title":"Signal Processing"},{"key":"3566_CR17","doi-asserted-by":"publisher","first-page":"1241","DOI":"10.1109\/78.575697","volume":"45","author":"M K Tsatsanis","year":"1997","unstructured":"Tsatsanis M K, Giannakis G B. Blind estimation of direct sequence spread spectrum signals in multipath. IEEE Trans Signal Process, 1997, 45: 1241\u20131252","journal-title":"IEEE Trans Signal Process"},{"key":"3566_CR18","doi-asserted-by":"publisher","first-page":"1273","DOI":"10.1049\/iet-com.2015.0374","volume":"10","author":"X Gu","year":"2016","unstructured":"Gu X, Zhao Z, Shen L. Blind estimation of pseudo-random codes in periodic long code direct sequence spread spectrum signals. IET Commun, 2016, 10: 1273\u20131281","journal-title":"IET Commun"},{"key":"3566_CR19","doi-asserted-by":"publisher","first-page":"1355","DOI":"10.1002\/j.1538-7305.1975.tb02040.x","volume":"54","author":"A D Wyner","year":"1975","unstructured":"Wyner A D. The wire-tap channel. Bell Syst Technical J, 1975, 54: 1355\u20131387","journal-title":"Bell Syst Technical J"},{"key":"3566_CR20","doi-asserted-by":"publisher","first-page":"19","DOI":"10.1109\/MWC.001.1900057","volume":"26","author":"S Yan","year":"2019","unstructured":"Yan S, Zhou X, Hu J, et al. Low probability of detection communication: opportunities and challenges. IEEE Wireless Commun Mag, 2019, 26: 19\u201325","journal-title":"IEEE Wireless Commun Mag"},{"key":"3566_CR21","doi-asserted-by":"publisher","first-page":"042303","DOI":"10.1007\/s11432-014-5228-z","volume":"58","author":"X M Chai","year":"2015","unstructured":"Chai X M, Xu X, Zhang Z S. A user-selected uplink power control algorithm in the two-tier femtocell network. Sci China Inf Sci, 2015, 58: 042303","journal-title":"Sci China Inf Sci"},{"key":"3566_CR22","doi-asserted-by":"crossref","unstructured":"Lu K, Cong Y, Fang J, et al. A joint code-doppler acquisition algorithm for DSSS-MSK based on FFT. In: Proceedings of IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC), Chongqing, 2020. 1118\u20131123","DOI":"10.1109\/ITNEC48623.2020.9085014"},{"key":"3566_CR23","doi-asserted-by":"publisher","first-page":"678","DOI":"10.1109\/22.989953","volume":"50","author":"D Parker","year":"2002","unstructured":"Parker D, Zimmermann D C. Phased arrays-part 1: theory and architectures. IEEE Trans Microwave Theor Techn, 2002, 50: 678\u2013687","journal-title":"IEEE Trans Microwave Theor Techn"},{"key":"3566_CR24","doi-asserted-by":"publisher","first-page":"688","DOI":"10.1109\/22.989954","volume":"50","author":"D Parker","year":"2002","unstructured":"Parker D, Zimmermann D C. Phased arrays-part II: implementations, applications, and future trends. IEEE Trans Microwave Theor Techn, 2002, 50: 688\u2013698","journal-title":"IEEE Trans Microwave Theor Techn"},{"key":"3566_CR25","doi-asserted-by":"publisher","first-page":"1327","DOI":"10.1109\/JPROC.2016.2525938","volume":"104","author":"G X Gao","year":"2016","unstructured":"Gao G X, Sgammini M, Lu M, et al. Protecting GNSS receivers from jamming and interference. Proc IEEE, 2016, 104: 1327\u20131338","journal-title":"Proc IEEE"},{"key":"3566_CR26","volume-title":"Proceedings of the 1st International Workshop on Technology and Policy for Accessing Spectrum","author":"P A K Acharya","year":"2006","unstructured":"Acharya P A K, Singh S, Zheng H. Reliable open spectrum communications through proactive spectrum access. In: Proceedings of the 1st International Workshop on Technology and Policy for Accessing Spectrum, Association for Computing Machinery, New York, 2006"},{"key":"3566_CR27","doi-asserted-by":"publisher","first-page":"172001","DOI":"10.1007\/s11432-020-2917-1","volume":"63","author":"W F Fan","year":"2020","unstructured":"Fan W F, Lu P, Tian C. Unifying logic rules and machine learning for entity enhancing. Sci China Inf Sci, 2020, 63: 172001","journal-title":"Sci China Inf Sci"},{"key":"3566_CR28","doi-asserted-by":"publisher","first-page":"182102","DOI":"10.1007\/s11432-019-2705-2","volume":"63","author":"H B Mi","year":"2020","unstructured":"Mi H B, Xu K L, Feng D W, et al. Collaborative deep learning across multiple data centers. Sci China Inf Sci, 2020, 63: 182102","journal-title":"Sci China Inf Sci"},{"key":"3566_CR29","doi-asserted-by":"publisher","first-page":"162303","DOI":"10.1007\/s11432-020-3125-y","volume":"64","author":"Z L Ning","year":"2021","unstructured":"Ning Z L, Sun S M, Wang X J, et al. Intelligent resource allocation in mobile blockchain for privacy and security transactions: a deep reinforcement learning based approach. Sci China Inf Sci, 2021, 64: 162303","journal-title":"Sci China Inf Sci"},{"key":"3566_CR30","doi-asserted-by":"publisher","first-page":"66","DOI":"10.1109\/MWC.001.2000472","volume":"28","author":"N Ye","year":"2021","unstructured":"Ye N, An J, Yu J. Deep-learning-enhanced NOMA transceiver design for massive MTC: challenges, state of the art, and future directions. IEEE Wireless Commun, 2021, 28: 66\u201373","journal-title":"IEEE Wireless Commun"},{"key":"3566_CR31","doi-asserted-by":"publisher","first-page":"2995","DOI":"10.1109\/TII.2019.2895086","volume":"15","author":"N Ye","year":"2019","unstructured":"Ye N, Li X, Yu H, et al. Deep learning aided grant-free NOMA toward reliable low-latency access in tactile Internet of Things. IEEE Trans Ind Inf, 2019, 15: 2995\u20133005","journal-title":"IEEE Trans Ind Inf"},{"key":"3566_CR32","doi-asserted-by":"publisher","first-page":"e13930","DOI":"10.2196\/13930","volume":"5","author":"K S Chan","year":"2019","unstructured":"Chan K S, Zary N. Applications and challenges of implementing artificial intelligence in medical education: integrative review. JMIR Med Educ, 2019, 5: e13930","journal-title":"JMIR Med Educ"},{"key":"3566_CR33","doi-asserted-by":"publisher","first-page":"58","DOI":"10.23919\/JCC.2020.03.006","volume":"17","author":"M Lin","year":"2020","unstructured":"Lin M, Zhao Y. Artificial intelligence-empowered resource management for future wireless communications: a survey. China Commun, 2020, 17: 58\u201377","journal-title":"China Commun"},{"key":"3566_CR34","doi-asserted-by":"publisher","first-page":"648","DOI":"10.1109\/TCCN.2018.2881442","volume":"4","author":"O Simeone","year":"2018","unstructured":"Simeone O. A very brief introduction to machine learning with applications to communication systems. IEEE Trans Cogn Commun Netw, 2018, 4: 648\u2013664","journal-title":"IEEE Trans Cogn Commun Netw"},{"key":"3566_CR35","doi-asserted-by":"publisher","first-page":"1472","DOI":"10.1109\/COMST.2020.2965856","volume":"22","author":"J Wang","year":"2020","unstructured":"Wang J, Jiang C, Zhang H, et al. Thirty years of machine learning: the road to pareto-optimal wireless networks. IEEE Commun Surv Tutorials, 2020, 22: 1472\u20131514","journal-title":"IEEE Commun Surv Tutorials"},{"key":"3566_CR36","doi-asserted-by":"publisher","first-page":"122","DOI":"10.1109\/MVT.2020.3019650","volume":"15","author":"J Du","year":"2020","unstructured":"Du J, Jiang C, Wang J, et al. Machine learning for 6G wireless networks: carrying forward enhanced bandwidth, massive access, and ultrareliable\/low-latency service. IEEE Veh Technol Mag, 2020, 15: 122\u2013134","journal-title":"IEEE Veh Technol Mag"},{"key":"3566_CR37","doi-asserted-by":"publisher","first-page":"213","DOI":"10.23919\/ICN.2021.0015","volume":"2","author":"F Fourati","year":"2021","unstructured":"Fourati F, Alouini M-S. Artificial intelligence for satellite communication: a review. Intell Converged Networks, 2021, 2: 213\u2013243","journal-title":"Intell Converged Networks"},{"key":"3566_CR38","doi-asserted-by":"publisher","first-page":"192107","DOI":"10.1007\/s11432-020-2951-1","volume":"64","author":"G Huang","year":"2021","unstructured":"Huang G, Ge C J, Xiong T Y, et al. Large scale air pollution prediction with deep convolutional networks. Sci China Inf Sci, 2021, 64: 192107","journal-title":"Sci China Inf Sci"},{"key":"3566_CR39","doi-asserted-by":"publisher","first-page":"139105","DOI":"10.1007\/s11432-020-2971-8","volume":"65","author":"W X Li","year":"2022","unstructured":"Li W X, Lin N, Zhang M Z, et al. VNet: a versatile network to train real-time semantic segmentation models on a single GPU. Sci China Inf Sci, 2022, 65: 139105","journal-title":"Sci China Inf Sci"},{"key":"3566_CR40","doi-asserted-by":"publisher","first-page":"4841","DOI":"10.3390\/s19224841","volume":"19","author":"R M Ferre","year":"2019","unstructured":"Ferre R M, de la Fuente A, Lohan E S. Jammer classification in GNSS bands via machine learning algorithms. Sensors, 2019, 19: 4841","journal-title":"Sensors"},{"key":"3566_CR41","doi-asserted-by":"crossref","unstructured":"Wu Z, Zhao Y, Yin Z, et al. Jamming signals classification using convolutional neural network. In: Proceedings of IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), Bilbao, 2017. 62\u201367","DOI":"10.1109\/ISSPIT.2017.8388320"},{"key":"3566_CR42","doi-asserted-by":"crossref","unstructured":"Kartchner D R, Palmer R, Jayaweera S K. Satellite navigation anti-spoofing using deep learning on a receiver network. In: Proceedings of IEEE Cognitive Communications for Aerospace Applications Workshop (CCAAW), Cleveland, 2021. 1\u20135","DOI":"10.1109\/CCAAW50069.2021.9527295"},{"key":"3566_CR43","doi-asserted-by":"crossref","unstructured":"Zhang T, Wang D, Wang D, et al. Modulation format recognition based on CNN in satellite communication system. In: Proceedings of IEEE 21st International Conference on Communication Technology (ICCT), 2021. 1392\u20131396","DOI":"10.1109\/ICCT52962.2021.9657919"},{"key":"3566_CR44","doi-asserted-by":"crossref","unstructured":"Jiang J, Wang Z, Zhao H, et al. Modulation recognition method of satellite communication based on cldnn model. In: Proceedings of IEEE 30th International Symposium on Industrial Electronics (ISIE), Kyoto, 2021. 1\u20136","DOI":"10.1109\/ISIE45552.2021.9576379"},{"key":"3566_CR45","doi-asserted-by":"publisher","first-page":"1677","DOI":"10.1109\/TWC.2019.2956146","volume":"19","author":"A M Elbir","year":"2020","unstructured":"Elbir A M, Mishra K V. Joint antenna selection and hybrid beamformer design using unquantized and quantized deep learning networks. IEEE Trans Wireless Commun, 2020, 19: 1677\u20131688","journal-title":"IEEE Trans Wireless Commun"},{"key":"3566_CR46","doi-asserted-by":"publisher","first-page":"45818","DOI":"10.1109\/ACCESS.2019.2909398","volume":"7","author":"R Mennes","year":"2019","unstructured":"Mennes R, Claeys M, de Figueiredo F A P, et al. Deep learning-based spectrum prediction collision avoidance for hybrid wireless environments. IEEE Access, 2019, 7: 45818\u201345830","journal-title":"IEEE Access"},{"key":"3566_CR47","doi-asserted-by":"publisher","first-page":"1276","DOI":"10.1109\/LCOMM.2018.2825444","volume":"22","author":"W Lee","year":"2018","unstructured":"Lee W, Kim M, Cho D H. Deep power control: transmit power control scheme based on convolutional neural network. IEEE Commun Lett, 2018, 22: 1276\u20131279","journal-title":"IEEE Commun Lett"},{"key":"3566_CR48","doi-asserted-by":"publisher","first-page":"3500","DOI":"10.1109\/TVT.2020.2972596","volume":"69","author":"K Lee","year":"2020","unstructured":"Lee K, Lee J R, Choi H H. Learning-based joint optimization of transmit power and harvesting time in wireless-powered networks with co-channel interference. IEEE Trans Veh Technol, 2020, 69: 3500\u20133504","journal-title":"IEEE Trans Veh Technol"},{"key":"3566_CR49","doi-asserted-by":"crossref","unstructured":"Gherrity M. A learning algorithm for analog, fully recurrent neural networks. In: Proceedings of International 1989 Joint Conference on Neural Networks, Washington, 1989. 643\u2013644","DOI":"10.1109\/IJCNN.1989.118645"},{"key":"3566_CR50","doi-asserted-by":"publisher","first-page":"1735","DOI":"10.1162\/neco.1997.9.8.1735","volume":"9","author":"S Hochreiter","year":"1997","unstructured":"Hochreiter S, Schmidhuber J. Long short-term memory. Neural Computation, 1997, 9: 1735\u20131780","journal-title":"Neural Computation"},{"key":"3566_CR51","doi-asserted-by":"crossref","unstructured":"Gunn L, Smet P, Arbon E, et al. Anomaly detection in satellite communications systems using LSTM networks. In: Proceedings of Military Communications and Information Systems Conference (MilCIS), 2018","DOI":"10.1109\/MilCIS.2018.8574109"},{"key":"3566_CR52","doi-asserted-by":"publisher","first-page":"2054","DOI":"10.1109\/LCOMM.2019.2936019","volume":"23","author":"S Lee","year":"2019","unstructured":"Lee S, Kim S, Seo M, et al. Synchronization of frequency hopping by LSTM network for satellite communication system. IEEE Commun Lett, 2019, 23: 2054\u20132058","journal-title":"IEEE Commun Lett"},{"key":"3566_CR53","doi-asserted-by":"crossref","unstructured":"Yu L, Chen J, Ding G. Spectrum prediction via long short term memory. In: Proceedings of the 3rd IEEE International Conference on Computer and Communications (ICCC), Chengdu, 2017. 643\u2013647","DOI":"10.1109\/CompComm.2017.8322623"},{"key":"3566_CR54","doi-asserted-by":"crossref","unstructured":"Yu L, Wang Q, Guo Y, et al. Spectrum availability prediction in cognitive aerospace communications: a deep learning perspective. In: Proceedings of Cognitive Communications for Aerospace Applications Workshop (CCAA), 2017. 1\u20134","DOI":"10.1109\/CCAAW.2017.8001877"},{"key":"3566_CR55","doi-asserted-by":"publisher","first-page":"45923","DOI":"10.1109\/ACCESS.2018.2864222","volume":"6","author":"L Yu","year":"2018","unstructured":"Yu L, Chen J, Ding G, et al. Spectrum prediction based on taguchi method in deep learning with long short-term memory. IEEE Access, 2018, 6: 45923\u201345933","journal-title":"IEEE Access"},{"key":"3566_CR56","doi-asserted-by":"crossref","unstructured":"Shawel B S, Woledegebre D H, Pollin S. Deep-learning based cooperative spectrum prediction for cognitive networks. In: Proceedings of International Conference on Information and Communication Technology Convergence (ICTC), Jeju, 2018. 133\u2013137","DOI":"10.1109\/ICTC.2018.8539570"},{"key":"3566_CR57","doi-asserted-by":"publisher","first-page":"809","DOI":"10.1109\/LWC.2020.2970711","volume":"9","author":"H Tsuchida","year":"2020","unstructured":"Tsuchida H, Kawamoto Y, Kato N, et al. Efficient power control for satellite-borne batteries using Q-learning in low-earth-orbit satellite constellations. IEEE Wireless Commun Lett, 2020, 9: 809\u2013812","journal-title":"IEEE Wireless Commun Lett"},{"key":"3566_CR58","first-page":"252","volume":"36","author":"D N Xiong","year":"2015","unstructured":"Xiong D N, Yi L. Q-learning based handoff algorithm for satellite system with ancillary terrestrial component. J Commun, 2015, 36: 252","journal-title":"J Commun"},{"key":"3566_CR59","doi-asserted-by":"publisher","first-page":"201","DOI":"10.1007\/s11276-017-1551-9","volume":"25","author":"F Yao","year":"2019","unstructured":"Yao F, Jia L, Sun Y, et al. A hierarchical learning approach to anti-jamming channel selection strategies. Wireless Netw, 2019, 25: 201\u2013213","journal-title":"Wireless Netw"},{"key":"3566_CR60","doi-asserted-by":"publisher","first-page":"682","DOI":"10.1049\/iet-com.2019.0637","volume":"14","author":"H Noori","year":"2020","unstructured":"Noori H, Vilni S. Jamming and anti-jamming in interference channels: a stochastic game approach. IET Commun, 2020, 14: 682\u2013692","journal-title":"IET Commun"},{"key":"3566_CR61","doi-asserted-by":"publisher","first-page":"10932","DOI":"10.1109\/JIOT.2020.2991585","volume":"7","author":"C Han","year":"2020","unstructured":"Han C, Liu A, Wang H, et al. Dynamic anti-jamming coalition for satellite-enabled army IoT: a distributed game approach. IEEE Internet Things J, 2020, 7: 10932\u201310944","journal-title":"IEEE Internet Things J"},{"key":"3566_CR62","doi-asserted-by":"publisher","first-page":"2239","DOI":"10.1109\/JSAC.2019.2933973","volume":"37","author":"Y S Nasir","year":"2019","unstructured":"Nasir Y S, Guo D. Multi-agent deep reinforcement learning for dynamic power allocation in wireless networks. IEEE J Sel Areas Commun, 2019, 37: 2239\u20132250","journal-title":"IEEE J Sel Areas Commun"},{"key":"3566_CR63","first-page":"3389","volume":"42","author":"M Q Wang","year":"2021","unstructured":"Wang M Q, Yuan W W, Zhang J Y. Overview of research on generative adversarial network GAN (in Chinese). Comput Eng Design, 2021, 42: 3389\u20133395","journal-title":"Comput Eng Design"},{"key":"3566_CR64","unstructured":"Goodfellow I, Pouget-Abadie J, Mirza M, et al. Generative adversarial nets. In: Proceedings of Advances in Neural Information Processing Systems, 2014"},{"key":"3566_CR65","doi-asserted-by":"crossref","unstructured":"Moti Z, Hashemi S, Namavar A. Discovering future malware variants by generating new malware samples using generative adversarial network. In: Proceedings of the 9th International Conference on Computer and Knowledge Engineering (ICCKE), Mashhad, 2019. 319\u2013324","DOI":"10.1109\/ICCKE48569.2019.8964913"},{"key":"3566_CR66","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1109\/MSP.2017.2765202","volume":"35","author":"A Creswell","year":"2018","unstructured":"Creswell A, White T, Dumoulin V, et al. Generative adversarial networks: an overview. IEEE Signal Process Mag, 2018, 35: 53\u201365","journal-title":"IEEE Signal Process Mag"},{"key":"3566_CR67","first-page":"1","volume":"2020","author":"Q Guan","year":"2020","unstructured":"Guan Q, Shuang W. Detection for multisatellite downlink signal based on generative adversarial neural network. Math Problems Eng, 2020, 2020: 1\u201314","journal-title":"Math Problems Eng"},{"key":"3566_CR68","doi-asserted-by":"crossref","unstructured":"Davaslioglu K, Sagduyu Y E. Generative adversarial learning for spectrum sensing. In: Proceedings of 2018 IEEE International Conference on Communications (ICC), Kansas City, 2018. 1\u20136","DOI":"10.1109\/ICC.2018.8422223"},{"key":"3566_CR69","doi-asserted-by":"publisher","first-page":"18","DOI":"10.23919\/JCC.2021.01.002","volume":"18","author":"F Lin","year":"2021","unstructured":"Lin F, Chen J, Ding G, et al. Spectrum prediction based on GAN and deep transfer learning: a cross-band data augmentation framework. China Commun, 2021, 18: 18\u201332","journal-title":"China Commun"},{"key":"3566_CR70","doi-asserted-by":"publisher","first-page":"1463","DOI":"10.1109\/LCOMM.2020.2988384","volume":"24","author":"X Liao","year":"2020","unstructured":"Liao X, Si J, Shi J, et al. Generative adversarial network assisted power allocation for cooperative cognitive covert communication system. IEEE Commun Lett, 2020, 24: 1463\u20131467","journal-title":"IEEE Commun Lett"},{"key":"3566_CR71","first-page":"1","volume":"11","author":"C M Fischer","year":"1992","unstructured":"Fischer C M, Wartick M, Mark M M. Detection probability and taxpayer compliance: a review of the literature. J Accounting Literature, 1992, 11: 1\u201346","journal-title":"J Accounting Literature"},{"key":"3566_CR72","doi-asserted-by":"publisher","first-page":"6355","DOI":"10.1109\/TVT.2021.3084939","volume":"70","author":"X Ding","year":"2021","unstructured":"Ding X, An J, Zhao Z, et al. Low-density parity-check coded direct sequence spread spectrum receiver based on analog probabilistic processing. IEEE Trans Veh Technol, 2021, 70: 6355\u20136370","journal-title":"IEEE Trans Veh Technol"},{"key":"3566_CR73","doi-asserted-by":"publisher","first-page":"855","DOI":"10.1109\/TCOM.1982.1095533","volume":"30","author":"R Pickholtz","year":"1982","unstructured":"Pickholtz R, Schilling D, Milstein L. Theory of spread-spectrum communications\u2014a tutorial. IEEE Trans Commun, 1982, 30: 855\u2013884","journal-title":"IEEE Trans Commun"},{"key":"3566_CR74","doi-asserted-by":"publisher","first-page":"748","DOI":"10.1109\/TCOM.1977.1093907","volume":"25","author":"R Scholtz","year":"1977","unstructured":"Scholtz R. The spread spectrum concept. IEEE Trans Commun, 1977, 25: 748\u2013755","journal-title":"IEEE Trans Commun"},{"key":"3566_CR75","doi-asserted-by":"crossref","unstructured":"Bark G. Power control and active channel selection in an LPI FH system for HF communications. In: Proceedings of Military Communications Conference, 1997. 1031\u20131035","DOI":"10.1109\/MILCOM.1997.646773"},{"key":"3566_CR76","doi-asserted-by":"publisher","first-page":"822","DOI":"10.1109\/TCOM.1982.1095547","volume":"30","author":"R Scholtz","year":"1982","unstructured":"Scholtz R. The origins of spread-spectrum communications. IEEE Trans Commun, 1982, 30: 822\u2013854","journal-title":"IEEE Trans Commun"},{"key":"3566_CR77","doi-asserted-by":"publisher","first-page":"264","DOI":"10.1109\/T-VT.1978.23758","volume":"27","author":"G R Cooper","year":"1978","unstructured":"Cooper G R, Nettleton R W. A spread-spectrum technique for high-capacity mobile communications. IEEE Trans Veh Technol, 1978, 27: 264\u2013275","journal-title":"IEEE Trans Veh Technol"},{"key":"3566_CR78","doi-asserted-by":"publisher","first-page":"2326","DOI":"10.1109\/LCOMM.2018.2871454","volume":"22","author":"Y Xing","year":"2018","unstructured":"Xing Y, Hu A, Zhang J, et al. On radio frequency fingerprint identification for DSSS systems in low SNR scenarios. IEEE Commun Lett, 2018, 22: 2326\u20132329","journal-title":"IEEE Commun Lett"},{"key":"3566_CR79","doi-asserted-by":"publisher","first-page":"5513","DOI":"10.1109\/TSP.2016.2597122","volume":"64","author":"F Liu","year":"2016","unstructured":"Liu F, Marcellin M W, Goodman N A, et al. Compressive sampling for detection of frequency-hopping spread spectrum signals. IEEE Trans Signal Process, 2016, 64: 5513\u20135524","journal-title":"IEEE Trans Signal Process"},{"key":"3566_CR80","doi-asserted-by":"publisher","first-page":"1921","DOI":"10.1109\/JSAC.2013.130923","volume":"31","author":"B A Bash","year":"2013","unstructured":"Bash B A, Goeckel D, Towsley D. Limits of reliable communication with low probability of detection on AWGN channels. IEEE J Sel Areas Commun, 2013, 31: 1921\u20131930","journal-title":"IEEE J Sel Areas Commun"},{"key":"3566_CR81","doi-asserted-by":"crossref","unstructured":"Abdelaziz A, Koksal C E. Fundamental limits of covert communication over MIMO AWGN channel. In: Proceedings of IEEE Conference on Communications and Network Security (CNS), Las Vegas, 2017. 1\u20139","DOI":"10.1109\/CNS.2017.8228657"},{"key":"3566_CR82","doi-asserted-by":"publisher","first-page":"3493","DOI":"10.1109\/TIT.2016.2548471","volume":"62","author":"L Wang","year":"2016","unstructured":"Wang L, Wornell G W, Zheng L. Fundamental limits of communication with low probability of detection. IEEE Trans Inform Theor, 2016, 62: 3493\u20133503","journal-title":"IEEE Trans Inform Theor"},{"key":"3566_CR83","doi-asserted-by":"publisher","first-page":"2190","DOI":"10.1109\/TIT.2018.2878526","volume":"65","author":"M Tahmasbi","year":"2019","unstructured":"Tahmasbi M, Bloch M R. First- and second-order asymptotics in covert communication. IEEE Trans Inform Theor, 2019, 65: 2190\u20132212","journal-title":"IEEE Trans Inform Theor"},{"key":"3566_CR84","doi-asserted-by":"publisher","first-page":"2334","DOI":"10.1109\/TIT.2016.2530089","volume":"62","author":"M R Bloch","year":"2016","unstructured":"Bloch M R. Covert communication over noisy channels: a resolvability perspective. IEEE Trans Inform Theor, 2016, 62: 2334\u20132354","journal-title":"IEEE Trans Inform Theor"},{"key":"3566_CR85","doi-asserted-by":"crossref","unstructured":"Che P H, Bakshi M, Jaggi S. Reliable deniable communication: hiding messages in noise. In: Proceedings of IEEE International Symposium on Information Theory, Istanbul, 2013. 2945\u20132949","DOI":"10.1109\/ISIT.2013.6620765"},{"key":"3566_CR86","doi-asserted-by":"crossref","unstructured":"Bloch M R, Guha S. Optimal covert communications using pulse-position modulation. In: Proceedings of IEEE International Symposium on Information Theory (ISIT), Aachen, 2017. 2825\u20132829","DOI":"10.1109\/ISIT.2017.8007045"},{"key":"3566_CR87","doi-asserted-by":"crossref","unstructured":"Kadampot I A, Tahmasbi M, Bloch M R. Multilevel-coded pulse-position modulation for covert communications. In: Proceedings of IEEE International Symposium on Information Theory (ISIT), Vail, 2018. 1864\u20131868","DOI":"10.1109\/ISIT.2018.8437587"},{"key":"3566_CR88","doi-asserted-by":"publisher","first-page":"5570","DOI":"10.1109\/TVT.2022.3151197","volume":"71","author":"R Li","year":"2022","unstructured":"Li R, Cui J, Huang T, et al. Optimal pulse-position modulation order and transmit power in covert communications. IEEE Trans Veh Technol, 2022, 71: 5570\u20135575","journal-title":"IEEE Trans Veh Technol"},{"key":"3566_CR89","doi-asserted-by":"publisher","first-page":"941","DOI":"10.1109\/LCOMM.2016.2647716","volume":"21","author":"B He","year":"2017","unstructured":"He B, Yan S, Zhou X, et al. On covert communication with noise uncertainty. IEEE Commun Lett, 2017, 21: 941\u2013944","journal-title":"IEEE Commun Lett"},{"key":"3566_CR90","doi-asserted-by":"crossref","unstructured":"Ta H Q, Kim S W. Covert communication under channel uncertainty and noise uncertainty. In: Proceedings of IEEE International Conference on Communications (ICC), Shanghai, 2019. 1\u20136","DOI":"10.1109\/ICC.2019.8761935"},{"key":"3566_CR91","doi-asserted-by":"publisher","first-page":"8394","DOI":"10.1109\/TWC.2016.2614502","volume":"15","author":"B A Bash","year":"2016","unstructured":"Bash B A, Goeckel D, Towsley D. Covert communication gains from adversary\u2019s ignorance of transmission time. IEEE Trans Wireless Commun, 2016, 15: 8394\u20138405","journal-title":"IEEE Trans Wireless Commun"},{"key":"3566_CR92","doi-asserted-by":"publisher","first-page":"6193","DOI":"10.1109\/TWC.2017.2720736","volume":"16","author":"T V Sobers","year":"2017","unstructured":"Sobers T V, Bash B A, Guha S, et al. Covert communication in the presence of an uninformed jammer. IEEE Trans Wireless Commun, 2017, 16: 6193\u20136206","journal-title":"IEEE Trans Wireless Commun"},{"key":"3566_CR93","doi-asserted-by":"crossref","unstructured":"Sobers T V, Bash B A, Goeckel D, et al. Covert communication with the help of an uninformed jammer achieves positive rate. In: Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, Pacific Grove, 2015. 625\u2013629","DOI":"10.1109\/ACSSC.2015.7421206"},{"key":"3566_CR94","doi-asserted-by":"publisher","first-page":"8517","DOI":"10.1109\/TWC.2018.2878014","volume":"17","author":"K Shahzad","year":"2018","unstructured":"Shahzad K, Zhou X, Yan S, et al. Achieving covert wireless communications using a full-duplex receiver. IEEE Trans Wireless Commun, 2018, 17: 8517\u20138530","journal-title":"IEEE Trans Wireless Commun"},{"key":"3566_CR95","doi-asserted-by":"crossref","unstructured":"Yang L, Yang W, Xu S, et al. Achieving covert wireless communications using a full-duplex multi-antenna receiver. In: Proceedings of IEEE 5th International Conference on Computer and Communications (ICCC), Chengdu, 2019. 912\u2013916","DOI":"10.1109\/ICCC47050.2019.9064154"},{"key":"3566_CR96","doi-asserted-by":"publisher","first-page":"6005","DOI":"10.1109\/TWC.2018.2854540","volume":"17","author":"B He","year":"2018","unstructured":"He B, Yan S, Zhou X, et al. Covert wireless communication with a poisson field of interferers. IEEE Trans Wireless Commun, 2018, 17: 6005\u20136017","journal-title":"IEEE Trans Wireless Commun"},{"key":"3566_CR97","doi-asserted-by":"crossref","unstructured":"Yang Y, Zhou J, Wang F, et al. An LPI design for secure burst communication systems. In: Proceedings of IEEE China Summit International Conference on Signal and Information Processing (ChinaSIP), Xi\u2019an, 2014. 631\u2013635","DOI":"10.1109\/ChinaSIP.2014.6889320"},{"key":"3566_CR98","doi-asserted-by":"crossref","unstructured":"Shakeel I. Machine learning based featureless signalling. In: Proceedings of IEEE Military Communications Conference (MILCOM), Los Angeles, 2018. 1\u20139","DOI":"10.1109\/MILCOM.2018.8599694"},{"key":"3566_CR99","doi-asserted-by":"publisher","first-page":"169946","DOI":"10.1109\/ACCESS.2019.2955509","volume":"7","author":"J Zhou","year":"2019","unstructured":"Zhou J, Zheng S, Yu X, et al. Low probability of intercept communication based on structured radio beams using machine learning. IEEE Access, 2019, 7: 169946","journal-title":"IEEE Access"},{"key":"3566_CR100","doi-asserted-by":"publisher","first-page":"8582","DOI":"10.1109\/TVT.2018.2853602","volume":"67","author":"J Sun","year":"2018","unstructured":"Sun J, Zhang Z, Xiao H, et al. Uplink interference coordination management with power control for D2D underlaying cellular networks: modeling, algorithms, and analysis. IEEE Trans Veh Technol, 2018, 67: 8582\u20138594","journal-title":"IEEE Trans Veh Technol"},{"key":"3566_CR101","doi-asserted-by":"publisher","first-page":"3119","DOI":"10.1109\/TVT.2020.2968053","volume":"69","author":"C Du","year":"2020","unstructured":"Du C, Zhang Z, Wang X, et al. Optimal duplex mode selection for D2D-aided underlaying cellular networks. IEEE Trans Veh Technol, 2020, 69: 3119\u20133134","journal-title":"IEEE Trans Veh Technol"},{"key":"3566_CR102","doi-asserted-by":"publisher","first-page":"15880","DOI":"10.1109\/TVT.2020.3037060","volume":"69","author":"C Du","year":"2020","unstructured":"Du C, Zhang Z, Wang X, et al. Deep learning based power allocation for workload driven full-duplex D2D-aided underlaying networks. IEEE Trans Veh Technol, 2020, 69: 15880\u201315892","journal-title":"IEEE Trans Veh Technol"},{"key":"3566_CR103","doi-asserted-by":"publisher","first-page":"1405","DOI":"10.1109\/LCOMM.2019.2923625","volume":"23","author":"S Khan","year":"2019","unstructured":"Khan S, Shin S Y. Deep learning aided transmit power estimation in mobile communication system. IEEE Commun Lett, 2019, 23: 1405\u20131408","journal-title":"IEEE Commun Lett"},{"key":"3566_CR104","doi-asserted-by":"publisher","first-page":"1","DOI":"10.23919\/JCC.2021.09.001","volume":"18","author":"C Liu","year":"2021","unstructured":"Liu C, Zhang Z. On connectivity of flying ad hoc networks in the presence of ground terminal. China Commun, 2021, 18: 1\u201310","journal-title":"China Commun"},{"key":"3566_CR105","doi-asserted-by":"publisher","first-page":"11103","DOI":"10.1109\/JIOT.2020.2994441","volume":"7","author":"J Hu","year":"2020","unstructured":"Hu J, Yan S, Zhou X, et al. Covert communications without channel state information at receiver in IoT systems. IEEE Internet Things J, 2020, 7: 11103\u201311114","journal-title":"IEEE Internet Things J"},{"key":"3566_CR106","doi-asserted-by":"publisher","first-page":"164216","DOI":"10.1109\/ACCESS.2019.2952894","volume":"7","author":"J Wang","year":"2019","unstructured":"Wang J, Guo D, Zhang B, et al. Spectrum access and power control for cognitive satellite communications: a game-theoretical learning approach. IEEE Access, 2019, 7: 164216","journal-title":"IEEE Access"},{"key":"3566_CR107","doi-asserted-by":"crossref","unstructured":"Dvorkind T G. Power allocation for covert communication, with application to underwater acoustic channel. In: Proceedings of IEEE International Conference on the Science of Electrical Engineering (ICSEE), Eilat, 2016. 1\u20135","DOI":"10.1109\/ICSEE.2016.7806169"},{"key":"3566_CR108","doi-asserted-by":"publisher","first-page":"379","DOI":"10.1002\/j.1538-7305.1948.tb01338.x","volume":"27","author":"C E Shannon","year":"1948","unstructured":"Shannon C E. A mathematical theory of communication. Bell Syst Technical J, 1948, 27: 379\u2013423","journal-title":"Bell Syst Technical J"},{"key":"3566_CR109","doi-asserted-by":"crossref","unstructured":"Zuo P, Peng T, Linghu W, et al. Optimal resource allocation for hybrid interweave-underlay cognitive SatCom uplink. In: Proceedings of IEEE Wireless Communications and Networking Conference (WCNC), Barcelona, 2018. 1\u20136","DOI":"10.1109\/WCNC.2018.8377022"},{"key":"3566_CR110","doi-asserted-by":"publisher","first-page":"64757","DOI":"10.1109\/ACCESS.2018.2875056","volume":"6","author":"B Gao","year":"2018","unstructured":"Gao B, Lin M, An K, et al. ADMM-based optimal power control for cognitive satellite terrestrial uplink networks. IEEE Access, 2018, 6: 64757\u201364765","journal-title":"IEEE Access"},{"key":"3566_CR111","doi-asserted-by":"publisher","first-page":"1344","DOI":"10.1109\/LCOMM.2013.051313.122923","volume":"17","author":"S Vassaki","year":"2013","unstructured":"Vassaki S, Poulakis M I, Panagopoulos A D, et al. Power allocation in cognitive satellite terrestrial networks with QoS constraints. IEEE Commun Lett, 2013, 17: 1344\u20131347","journal-title":"IEEE Commun Lett"},{"key":"3566_CR112","doi-asserted-by":"publisher","first-page":"34","DOI":"10.1109\/LWC.2017.2752160","volume":"7","author":"S Shi","year":"2018","unstructured":"Shi S, An K, Li G, et al. Optimal power control in cognitive satellite terrestrial networks with imperfect channel state information. IEEE Wireless Commun Lett, 2018, 7: 34\u201337","journal-title":"IEEE Wireless Commun Lett"},{"key":"3566_CR113","doi-asserted-by":"publisher","first-page":"622","DOI":"10.1109\/LCOMM.2019.2961880","volume":"24","author":"J Hu","year":"2020","unstructured":"Hu J, Li G, Bian D, et al. Optimal power control for cognitive LEO constellation with terrestrial networks. IEEE Commun Lett, 2020, 24: 622\u2013625","journal-title":"IEEE Commun Lett"},{"key":"3566_CR114","first-page":"1815","volume":"21","author":"S Shi","year":"2017","unstructured":"Shi S, Li G, An K, et al. Optimal power control for real-time applications in cognitive satellite terrestrial networks. IEEE Commun Lett, 2017, 21: 1815\u20131818","journal-title":"IEEE Commun Lett"},{"key":"3566_CR115","doi-asserted-by":"publisher","first-page":"7957","DOI":"10.1109\/ACCESS.2018.2890100","volume":"7","author":"W Wang","year":"2019","unstructured":"Wang W, Zhao S, Zheng Y, et al. Resource allocation method of cognitive satellite terrestrial networks under non-ideal spectrum sensing. IEEE Access, 2019, 7: 7957\u20137964","journal-title":"IEEE Access"},{"key":"3566_CR116","doi-asserted-by":"crossref","unstructured":"Letzepis N. Optimal power allocation for parallel gaussian channels with LPD constraints. In: Proceedings of IEEE Military Communications Conference, Baltimore, 2016. 103\u2013107","DOI":"10.1109\/MILCOM.2016.7795309"},{"key":"3566_CR117","doi-asserted-by":"crossref","unstructured":"Forouzesh M, Azmi P, Kuhestani A. Secure transmission with covert requirement in untrusted relaying networks. In: Proceedings of the 9th International Symposium on Telecommunications (IST), Tehran, 2018. 670\u2013675","DOI":"10.1109\/ISTEL.2018.8661020"},{"key":"3566_CR118","doi-asserted-by":"publisher","first-page":"4766","DOI":"10.1109\/TWC.2018.2831217","volume":"17","author":"J Hu","year":"2018","unstructured":"Hu J, Yan S, Zhou X, et al. Covert communication achieved by a greedy relay in wireless networks. IEEE Trans Wireless Commun, 2018, 17: 4766\u20134779","journal-title":"IEEE Trans Wireless Commun"},{"key":"3566_CR119","doi-asserted-by":"publisher","first-page":"1974","DOI":"10.1109\/TWC.2019.2900915","volume":"18","author":"T X Zheng","year":"2019","unstructured":"Zheng T X, Wang H M, Ng D W K, et al. Multi-antenna covert communications in random wireless networks. IEEE Trans Wireless Commun, 2019, 18: 1974\u20131987","journal-title":"IEEE Trans Wireless Commun"},{"key":"3566_CR120","doi-asserted-by":"publisher","first-page":"12135","DOI":"10.1109\/TVT.2019.2949304","volume":"68","author":"J Hu","year":"2019","unstructured":"Hu J, Yan S, Zhou X, et al. Covert wireless communications with channel inversion power control in Rayleigh fading. IEEE Trans Veh Technol, 2019, 68: 12135\u201312149","journal-title":"IEEE Trans Veh Technol"},{"key":"3566_CR121","doi-asserted-by":"publisher","first-page":"835","DOI":"10.1109\/LWC.2020.3046508","volume":"10","author":"R Ma","year":"2021","unstructured":"Ma R, Yang X, Pan G, et al. Covert communications with channel inversion power control in the finite blocklength regime. IEEE Wireless Commun Lett, 2021, 10: 835\u2013839","journal-title":"IEEE Wireless Commun Lett"},{"key":"3566_CR122","doi-asserted-by":"publisher","first-page":"871","DOI":"10.1109\/LWC.2022.3149279","volume":"11","author":"M Wang","year":"2022","unstructured":"Wang M, Yang W, Lu X, et al. Channel inversion power control aided covert communications in uplink NOMA systems. IEEE Wireless Commun Lett, 2022, 11: 871\u2013875","journal-title":"IEEE Wireless Commun Lett"},{"key":"3566_CR123","doi-asserted-by":"publisher","first-page":"359","DOI":"10.1016\/0893-6080(89)90020-8","volume":"2","author":"K Hornik","year":"1989","unstructured":"Hornik K, Stinchcombe M, White H. Multilayer feedforward networks are universal approximators. Neural Networks, 1989, 2: 359\u2013366","journal-title":"Neural Networks"},{"key":"3566_CR124","doi-asserted-by":"publisher","first-page":"5438","DOI":"10.1109\/TSP.2018.2866382","volume":"66","author":"H Sun","year":"2018","unstructured":"Sun H, Chen X, Shi Q, et al. Learning to optimize: training deep neural networks for interference management. IEEE Trans Signal Process, 2018, 66: 5438\u20135453","journal-title":"IEEE Trans Signal Process"},{"key":"3566_CR125","doi-asserted-by":"publisher","first-page":"1942","DOI":"10.1109\/LCOMM.2018.2859392","volume":"22","author":"W Lee","year":"2018","unstructured":"Lee W. Resource allocation for multi-channel underlay cognitive radio network based on deep neural network. IEEE Commun Lett, 2018, 22: 1942\u20131945","journal-title":"IEEE Commun Lett"},{"key":"3566_CR126","doi-asserted-by":"publisher","first-page":"100","DOI":"10.1109\/MCOM.001.1900199","volume":"58","author":"W Lee","year":"2020","unstructured":"Lee W, Jo O, Kim M. Intelligent resource allocation in wireless communications systems. IEEE Commun Mag, 2020, 58: 100\u2013105","journal-title":"IEEE Commun Mag"},{"key":"3566_CR127","doi-asserted-by":"publisher","first-page":"887","DOI":"10.1109\/LCOMM.2020.3042490","volume":"25","author":"W Lee","year":"2021","unstructured":"Lee W, Lee K. Resource allocation scheme for guarantee of QoS in D2D communications using deep neural network. IEEE Commun Lett, 2021, 25: 887\u2013891","journal-title":"IEEE Commun Lett"},{"key":"3566_CR128","doi-asserted-by":"publisher","first-page":"3990","DOI":"10.1109\/TVT.2021.3068368","volume":"70","author":"W Lee","year":"2021","unstructured":"Lee W, Lee K. Deep learning-aided distributed transmit power control for underlay cognitive radio network. IEEE Trans Veh Technol, 2021, 70: 3990\u20133994","journal-title":"IEEE Trans Veh Technol"},{"key":"3566_CR129","doi-asserted-by":"publisher","first-page":"4209","DOI":"10.1109\/TWC.2020.2981320","volume":"19","author":"H Zhang","year":"2020","unstructured":"Zhang H, Yang N, Huangfu W, et al. Power control based on deep reinforcement learning for spectrum sharing. IEEE Trans Wireless Commun, 2020, 19: 4209\u20134219","journal-title":"IEEE Trans Wireless Commun"},{"key":"3566_CR130","doi-asserted-by":"publisher","first-page":"25463","DOI":"10.1109\/ACCESS.2018.2831240","volume":"6","author":"X Li","year":"2018","unstructured":"Li X, Fang J, Cheng W, et al. Intelligent power control for spectrum sharing in cognitive radios: a deep reinforcement learning approach. IEEE Access, 2018, 6: 25463\u201325473","journal-title":"IEEE Access"},{"key":"3566_CR131","doi-asserted-by":"publisher","first-page":"1363","DOI":"10.1109\/TWC.2020.3032991","volume":"20","author":"J Tan","year":"2021","unstructured":"Tan J, Liang Y C, Zhang L, et al. Deep reinforcement learning for joint channel selection and power control in D2D networks. IEEE Trans Wireless Commun, 2021, 20: 1363\u20131378","journal-title":"IEEE Trans Wireless Commun"},{"key":"3566_CR132","first-page":"61","volume":"13","author":"Z Fan","year":"2016","unstructured":"Fan Z, Hong B, Du H. Review on anti-jamming technology for phased-array antenna of satellite. Space Electronic Tech, 2016, 13: 61\u201366","journal-title":"Space Electronic Tech"},{"key":"3566_CR133","unstructured":"Meng M, Shi Y, Jiang Z, et al. A review of the development of space phased array antenna technology. In: Proceedings of the 3rd Aerospace Electronics Strategy Research Forum, Beijing, 2017"},{"key":"3566_CR134","series-title":"Dissertation for Ph.D. Degree","volume-title":"Research on key technologies of phased array antenna of vehicle satellite communication","author":"N Liu","year":"2015","unstructured":"Liu N. Research on key technologies of phased array antenna of vehicle satellite communication. Dissertation for Ph.D. Degree. Beijing: Beijing Institute of Technology, 2015"},{"key":"3566_CR135","first-page":"40","volume":"19","author":"M Lin","year":"2003","unstructured":"Lin M, Gong Z. Smart antenna and its application in satellite communication anti-jamming (in Chinese). Telecommun Sci, 2003, 19: 40\u201344","journal-title":"Telecommun Sci"},{"key":"3566_CR136","doi-asserted-by":"crossref","unstructured":"Kapusuz K Y, Sen Y, Bulut M, et al. Low-profile scalable phased array antenna at Ku-band for mobile satellite communications. In: Proceedings of IEEE International Symposium on Phased Array Systems and Technology (PAST), Waltham, 2016. 1\u20134","DOI":"10.1109\/ARRAY.2016.7832648"},{"key":"3566_CR137","doi-asserted-by":"crossref","unstructured":"Rao J B L, Mital R, Patel D P, et al. Low-cost phased array antenna for satellite communications on mobile earth stations. In: Proceedings of IEEE International Symposium on Phased Array Systems and Technology, Waltham, 2013. 214\u2013219","DOI":"10.1109\/ARRAY.2013.6731829"},{"key":"3566_CR138","doi-asserted-by":"crossref","unstructured":"Zhang H T, Wang W, Jin M P, et al. An active phased array antenna for broadband mobile satellite communications at ka-band. In: Proceedings of CIE International Conference on Radar (RADAR), Guangzhou, 2016. 1\u20133","DOI":"10.1109\/RADAR.2016.8059451"},{"key":"3566_CR139","doi-asserted-by":"crossref","unstructured":"Kumar B P, Kumar C, Kumar V S, et al. A spherical phased array antenna with unequal amplitude excitation for satellite application. In: Proceedings of IEEE International Conference on Antenna Innovations Modern Technologies for Ground, Aircraft and Satellite Applications (iAIM), Bangalore, 2017. 1\u20134","DOI":"10.1109\/IAIM.2017.8402564"},{"key":"3566_CR140","doi-asserted-by":"publisher","first-page":"7633","DOI":"10.1109\/TAP.2019.2930129","volume":"67","author":"S M Moon","year":"2019","unstructured":"Moon S M, Yun S, Yom I B, et al. Phased array shaped-beam satellite antenna with boosted-beam control. IEEE Trans Antennas Propagat, 2019, 67: 7633\u20137636","journal-title":"IEEE Trans Antennas Propagat"},{"key":"3566_CR141","doi-asserted-by":"crossref","unstructured":"Raj K V, Ranjitha S, Meghana V, et al. Satellite tracking using 7\u00d77 hexagonal phased array antenna. In: Proceedings of the 4th International Conference on Recent Trends on Electronics, Information, Communication Technology (RTEICT), Bangalore, 2019. 369\u2013374","DOI":"10.1109\/RTEICT46194.2019.9016813"},{"key":"3566_CR142","doi-asserted-by":"crossref","unstructured":"Lin Y, Ma Q, Wang S, et al. Calibration for spaceborne phased array antennas without interrupting satellite communications. In: Proceedings of the 9th International Conference on Wireless Communications and Signal Processing (WCSP), Nanjing, 2017. 1\u20135","DOI":"10.1109\/WCSP.2017.8171093"},{"key":"3566_CR143","doi-asserted-by":"crossref","unstructured":"Ghaffarian N, Wahab W A, Raeesi A, et al. Characterization and calibration challenges of an k-band large-scale active phased-array antenna with a modular architecture. In: Proceedings of the 50th European Microwave Conference (EuMC), Utrecht, 2021. 1039\u20131042","DOI":"10.23919\/EuMC48046.2021.9338111"},{"key":"3566_CR144","doi-asserted-by":"crossref","unstructured":"Mishchenko S E, Shatskij V V, Eliseev D Y, et al. Neural network approach to the solution of constructive synthesis problems of active phased antenna arrays. In: Proceedings of Radiation and Scattering of Electromagnetic Waves (RSEMW), Divnomorskoe, 2019. 256\u2013260","DOI":"10.1109\/RSEMW.2019.8792730"},{"key":"3566_CR145","doi-asserted-by":"crossref","unstructured":"Lovato R, Gong X. Phased antenna array beamforming using convolutional neural networks. In: Proceedings of IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, Atlanta, 2019. 1247\u20131248","DOI":"10.1109\/APUSNCURSINRSM.2019.8888573"},{"key":"3566_CR146","doi-asserted-by":"crossref","unstructured":"Fournier J L, Titz D, Ferrero F, et al. Phased array antenna controlled by neural network FPGA. In: Proceedings of Loughborough Antennas Propagation Conference, Loughborough, 2011. 1\u20135","DOI":"10.1109\/LAPC.2011.6114104"},{"key":"3566_CR147","doi-asserted-by":"publisher","first-page":"142795","DOI":"10.1109\/ACCESS.2021.3121724","volume":"9","author":"I Hameed","year":"2021","unstructured":"Hameed I, Tuan P V, Koo I. Deep learning-based energy beamforming with transmit power control in wireless powered communication networks. IEEE Access, 2021, 9: 142795","journal-title":"IEEE Access"},{"key":"3566_CR148","doi-asserted-by":"crossref","unstructured":"Sarayloo Z, Masoumi N, Shahi H, et al. A convolutional neural network approach for phased array calibration using power-only measurements. In: Proceedings of the 28th Iranian Conference on Electrical Engineering (ICEE), Tabriz, 2020. 1\u20136","DOI":"10.1109\/ICEE50131.2020.9260769"},{"key":"3566_CR149","doi-asserted-by":"publisher","first-page":"1369","DOI":"10.1109\/8.475924","volume":"43","author":"H L Southall","year":"1995","unstructured":"Southall H L, Simmers J A, O\u2019Donnell T H. Direction finding in phased arrays with a neural network beamformer. IEEE Trans Antennas Propagat, 1995, 43: 1369\u20131374","journal-title":"IEEE Trans Antennas Propagat"},{"key":"3566_CR150","doi-asserted-by":"publisher","first-page":"415","DOI":"10.1109\/TAES.2013.6404112","volume":"49","author":"S Savasta","year":"2013","unstructured":"Savasta S, Presti L L, Rao M. Interference mitigation in GNSS receivers by a time-frequency approach. IEEE Trans Aerosp Electron Syst, 2013, 49: 415\u2013438","journal-title":"IEEE Trans Aerosp Electron Syst"},{"key":"3566_CR151","doi-asserted-by":"crossref","unstructured":"Lv Q, Qin H. A novel algorithm for adaptive notch filter to detect and mitigate the CWI for GNSS receivers. In: Proceedings of IEEE 3rd International Conference on Signal and Image Processing (ICSIP), Shenzhen, 2018. 444\u2013451","DOI":"10.1109\/SIPROCESS.2018.8600453"},{"key":"3566_CR152","doi-asserted-by":"publisher","first-page":"451","DOI":"10.1109\/JSYST.2013.2283753","volume":"9","author":"Y R Chien","year":"2015","unstructured":"Chien Y R. Design of GPS anti-jamming systems using adaptive notch filters. IEEE Syst J, 2015, 9: 451\u2013460","journal-title":"IEEE Syst J"},{"key":"3566_CR153","doi-asserted-by":"publisher","first-page":"527","DOI":"10.1007\/s00034-010-9242-0","volume":"30","author":"W L Mao","year":"2011","unstructured":"Mao W L, Ma W J, Chien Y R, et al. New adaptive all-pass based notch filter for narrowband\/FM anti-jamming GPS receivers. Circ Syst Signal Process, 2011, 30: 527\u2013542","journal-title":"Circ Syst Signal Process"},{"key":"3566_CR154","doi-asserted-by":"crossref","unstructured":"Wang Z, Lv M, Tang B. Paper application of partial coefficient update LMS algorithm to suppress narrowband interference in DSSS system. In: Proceedings of International Conference on Communication Software and Networks, Chengdu, 2009. 275\u2013278","DOI":"10.1109\/ICCSN.2009.139"},{"key":"3566_CR155","doi-asserted-by":"crossref","unstructured":"Zhang L, Yuan S, Chen Y, et al. Narrowband interference suppression in DSSS system based on frequency shift wavelet packet transform. In: Proceedings of the 9th International Conference on Electronic Measurement Instruments, Beijing, 2009. 333\u2013337","DOI":"10.1109\/ICEMI.2009.5274559"},{"key":"3566_CR156","doi-asserted-by":"publisher","first-page":"1627","DOI":"10.1109\/TSP.2007.909337","volume":"56","author":"S Djukanovic","year":"2008","unstructured":"Djukanovic S, Dakovic M, Stankovic L. Local polynomial fourier transform receiver for nonstationary interference excision in DSSS communications. IEEE Trans Signal Process, 2008, 56: 1627\u20131636","journal-title":"IEEE Trans Signal Process"},{"key":"3566_CR157","doi-asserted-by":"publisher","first-page":"1302","DOI":"10.1109\/JPROC.2016.2531582","volume":"104","author":"M G Amin","year":"2016","unstructured":"Amin M G, Wang X, Zhang Y D, et al. Sparse arrays and sampling for interference mitigation and DOA estimation in GNSS. Proc IEEE, 2016, 104: 1302\u20131317","journal-title":"Proc IEEE"},{"key":"3566_CR158","first-page":"741","volume":"16","author":"L Heng","year":"2014","unstructured":"Heng L, Walter T, Enge P, et al. GNSS multipath and jamming mitigation using high-mask-angle antennas and multiple constellations. IEEE Trans Intell Transp Syst, 2014, 16: 741\u2013750","journal-title":"IEEE Trans Intell Transp Syst"},{"key":"3566_CR159","doi-asserted-by":"crossref","unstructured":"Zhao H, Shi Y, Zhang B, et al. Analysis and simulation of interference suppression for space-time adaptive processing. In: Proceedings of IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), Guilin, 2014. 724\u2013727","DOI":"10.1109\/ICSPCC.2014.6986291"},{"key":"3566_CR160","doi-asserted-by":"crossref","unstructured":"Xu H, Cheng Y, Liang J, et al. A jamming recognition algorithm based on deep neural network in satellite navigation system. In: Proceedings of China Satellite Navigation Conference, Chengdu, 2020. 701\u2013711","DOI":"10.1007\/978-981-15-3715-8_63"},{"key":"3566_CR161","doi-asserted-by":"publisher","first-page":"2","DOI":"10.1109\/TCCN.2018.2884910","volume":"5","author":"T Erpek","year":"2019","unstructured":"Erpek T, Sagduyu Y E, Shi Y. Deep learning for launching and mitigating wireless jamming attacks. IEEE Trans Cogn Commun Netw, 2019, 5: 2\u201314","journal-title":"IEEE Trans Cogn Commun Netw"},{"key":"3566_CR162","doi-asserted-by":"publisher","first-page":"112304","DOI":"10.1007\/s11432-020-3170-2","volume":"65","author":"X Z Lu","year":"2022","unstructured":"Lu X Z, Jie J F, Lin Z H, et al. Reinforcement learning based energy efficient robot relay for unmanned aerial vehicles against smart jamming. Sci China Inf Sci, 2022, 65: 112304","journal-title":"Sci China Inf Sci"},{"key":"3566_CR163","doi-asserted-by":"crossref","unstructured":"Abbasi M, Mosavi M R, Reazei M J. GPS continues wave jamming canceller using an ANF combined with an artificial neural network. In: Proceedings of the 8th Iranian Joint Congress on Fuzzy and intelligent Systems (CFIS), Mashhad, 2020. 99\u2013104","DOI":"10.1109\/CFIS49607.2020.9238700"},{"key":"3566_CR164","doi-asserted-by":"publisher","first-page":"1111","DOI":"10.4028\/www.scientific.net\/AMR.457-458.1111","volume":"457\u2013458","author":"Y Shi","year":"2012","unstructured":"Shi Y, Liu Y. Interference suppression for satellite navigation based on neural network and wavelet packets transform. Adv Materials Res, 2012, 457\u2013458: 1111\u20131117","journal-title":"Adv Materials Res"},{"key":"3566_CR165","doi-asserted-by":"publisher","first-page":"150","DOI":"10.1109\/COMST.2017.2751058","volume":"20","author":"G Ding","year":"2018","unstructured":"Ding G, Jiao Y, Wang J, et al. Spectrum inference in cognitive radio networks: algorithms and applications. IEEE Commun Surv Tutorials, 2018, 20: 150\u2013182","journal-title":"IEEE Commun Surv Tutorials"},{"key":"3566_CR166","doi-asserted-by":"publisher","first-page":"90","DOI":"10.1109\/MWC.2013.6507399","volume":"20","author":"X Xing","year":"2013","unstructured":"Xing X, Jing T, Cheng W, et al. Spectrum prediction in cognitive radio networks. IEEE Wireless Commun, 2013, 20: 90\u201396","journal-title":"IEEE Wireless Commun"},{"key":"3566_CR167","doi-asserted-by":"publisher","first-page":"1835","DOI":"10.1109\/LWC.2021.3083267","volume":"10","author":"Y Zhang","year":"2021","unstructured":"Zhang Y, Wu Y, Liu A, et al. Deep learning-based channel prediction for LEO satellite massive MIMO communication system. IEEE Wireless Commun Lett, 2021, 10: 1835\u20131839","journal-title":"IEEE Wireless Commun Lett"},{"key":"3566_CR168","doi-asserted-by":"publisher","first-page":"16314","DOI":"10.1109\/TVT.2020.3043837","volume":"69","author":"X Ding","year":"2020","unstructured":"Ding X, Feng L, Zou Y, et al. Deep learning aided spectrum prediction for satellite communication systems. IEEE Trans Veh Technol, 2020, 69: 16314\u201316319","journal-title":"IEEE Trans Veh Technol"},{"key":"3566_CR169","doi-asserted-by":"publisher","first-page":"561","DOI":"10.1109\/PROC.1975.9792","volume":"63","author":"J Makhoul","year":"1975","unstructured":"Makhoul J. Linear prediction: a tutorial review. Proc IEEE, 1975, 63: 561\u2013580","journal-title":"Proc IEEE"},{"key":"3566_CR170","doi-asserted-by":"crossref","unstructured":"Wen Z, Fan C, Zhang X, et al. A learning spectrum hole prediction model for cognitive radio systems. In: Proceedings of the 10th IEEE International Conference on Computer and Information Technology, 2010. 2089\u20132093","DOI":"10.1109\/CIT.2010.355"},{"key":"3566_CR171","doi-asserted-by":"publisher","first-page":"1925","DOI":"10.1109\/TPDS.2013.283","volume":"25","author":"P Huang","year":"2014","unstructured":"Huang P, Liu C J, Yang X, et al. Wireless spectrum occupancy prediction based on partial periodic pattern mining. IEEE Trans Parallel Distrib Syst, 2014, 25: 1925\u20131934","journal-title":"IEEE Trans Parallel Distrib Syst"},{"key":"3566_CR172","doi-asserted-by":"publisher","first-page":"108","DOI":"10.1109\/TCCN.2017.2776138","volume":"4","author":"V D Nguyen","year":"2018","unstructured":"Nguyen V D, Shin O S. Cooperative prediction-and-sensing-based spectrum sharing in cognitive radio networks. IEEE Trans Cogn Commun Netw, 2018, 4: 108\u2013120","journal-title":"IEEE Trans Cogn Commun Netw"},{"key":"3566_CR173","doi-asserted-by":"publisher","first-page":"8022","DOI":"10.1109\/TVT.2017.2693384","volume":"66","author":"G Ding","year":"2017","unstructured":"Ding G, Wu F, Wu Q, et al. Robust online spectrum prediction with incomplete and corrupted historical observations. IEEE Trans Veh Technol, 2017, 66: 8022\u20138036","journal-title":"IEEE Trans Veh Technol"},{"key":"3566_CR174","doi-asserted-by":"publisher","first-page":"29611","DOI":"10.1109\/ACCESS.2018.2836940","volume":"6","author":"X Chen","year":"2018","unstructured":"Chen X, Yang J, Ding G. Minimum Bayesian risk based robust spectrum prediction in the presence of sensing errors. IEEE Access, 2018, 6: 29611\u201329625","journal-title":"IEEE Access"},{"key":"3566_CR175","doi-asserted-by":"publisher","first-page":"10","DOI":"10.1109\/CC.2018.8456448","volume":"15","author":"X Chen","year":"2018","unstructured":"Chen X, Yang J. A spectrum prediction-based frequency band pre-selection over deteriorating HF electromagnetic environment. China Commun, 2018, 15: 10\u201324","journal-title":"China Commun"},{"key":"3566_CR176","doi-asserted-by":"crossref","unstructured":"Wen Z, Luo T, Xiang W, et al. Autoregressive spectrum hole prediction model for cognitive radio systems. In: Proceedings of IEEE International Conference on Communications Workshops, Beijing, 2008. 154\u2013157","DOI":"10.1109\/ICCW.2008.34"},{"key":"3566_CR177","doi-asserted-by":"crossref","unstructured":"Akbar I A, Tranter W H. Dynamic spectrum allocation in cognitive radio using hidden markov models: Poisson distributed case. In: Proceedings of IEEE SoutheastCon, Richmond, 2007. 196\u2013201","DOI":"10.1109\/SECON.2007.342884"},{"key":"3566_CR178","doi-asserted-by":"crossref","unstructured":"Chen Z, Qiu R C. Prediction of channel state for cognitive radio using higher-order hidden Markov model. In: Proceedings of the IEEE SoutheastCon 2010, Concord, 2010. 276\u2013282","DOI":"10.1109\/SECON.2010.5453870"},{"key":"3566_CR179","doi-asserted-by":"publisher","first-page":"2144","DOI":"10.1109\/LCOMM.2018.2861008","volume":"22","author":"H Eltom","year":"2018","unstructured":"Eltom H, Kandeepan S, Liang Y C, et al. Cooperative soft fusion for HMM-based spectrum occupancy prediction. IEEE Commun Lett, 2018, 22: 2144\u20132147","journal-title":"IEEE Commun Lett"},{"key":"3566_CR180","unstructured":"Zhang S, Hu J, Bao Z, et al. Prediction of spectrum based on improved RBF neural network in cognitive radio. In: Proceedings of International Conference on Wireless Information Networks and Systems (WINSYS), Reykjavik, 2013. 1\u20135"},{"key":"3566_CR181","doi-asserted-by":"crossref","unstructured":"Lan K, Zhao H, Zhang J, et al. A spectrum prediction approach based on neural networks optimized by genetic algorithm in cognitive radio networks. In: Proceedings of the 10th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM 2014), Beijing, 2014. 131\u2013136","DOI":"10.1049\/ic.2014.0089"},{"key":"3566_CR182","doi-asserted-by":"publisher","first-page":"540","DOI":"10.1109\/TCCN.2019.2911005","volume":"5","author":"Y Zhang","year":"2019","unstructured":"Zhang Y, Hou J, Towhidlou V, et al. A neural network prediction-based adaptive mode selection scheme in full-duplex cognitive networks. IEEE Trans Cogn Commun Netw, 2019, 5: 540\u2013553","journal-title":"IEEE Trans Cogn Commun Netw"},{"key":"3566_CR183","doi-asserted-by":"publisher","first-page":"25","DOI":"10.1109\/CC.2018.8456449","volume":"15","author":"L Yu","year":"2018","unstructured":"Yu L, Chen J, Zhang Y, et al. Deep spectrum prediction in high frequency communication based on temporal-spectral residual network. China Commun, 2018, 15: 25\u201334","journal-title":"China Commun"},{"key":"3566_CR184","doi-asserted-by":"publisher","first-page":"476","DOI":"10.1109\/TCCN.2020.2973572","volume":"6","author":"L Yu","year":"2020","unstructured":"Yu L, Guo Y, Wang Q, et al. Spectrum availability prediction for cognitive radio communications: a DCG approach. IEEE Trans Cogn Commun Netw, 2020, 6: 476\u2013485","journal-title":"IEEE Trans Cogn Commun Netw"},{"key":"3566_CR185","doi-asserted-by":"publisher","first-page":"66","DOI":"10.23919\/JCC.2020.02.006","volume":"17","author":"F Lin","year":"2020","unstructured":"Lin F, Chen J, Sun J, et al. Cross-band spectrum prediction based on deep transfer learning. China Commun, 2020, 17: 66\u201380","journal-title":"China Commun"},{"key":"3566_CR186","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1002\/sat.932","volume":"28","author":"H Bischl","year":"2010","unstructured":"Bischl H, Brandt H, de Cola T, et al. Adaptive coding and modulation for satellite broadband networks: from theory to practice. Int J Satell Commun Network, 2010, 28: 59\u2013111","journal-title":"Int J Satell Commun Network"},{"key":"3566_CR187","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1109\/TCOM.1968.1089811","volume":"16","author":"J Hayes","year":"1968","unstructured":"Hayes J. Adaptive feedback communications. IEEE Trans Commun, 1968, 16: 29\u201334","journal-title":"IEEE Trans Commun"},{"key":"3566_CR188","doi-asserted-by":"publisher","first-page":"2223","DOI":"10.1109\/26.392965","volume":"43","author":"W T Webb","year":"1995","unstructured":"Webb W T, Steele R. Variable rate QAM for mobile radio. IEEE Trans Commun, 1995, 43: 2223\u20132230","journal-title":"IEEE Trans Commun"},{"key":"3566_CR189","doi-asserted-by":"publisher","first-page":"884","DOI":"10.1109\/26.771345","volume":"47","author":"X X Qiu","year":"1999","unstructured":"Qiu X X, Chawla K. On the performance of adaptive modulation in cellular systems. IEEE Trans Commun, 1999, 47: 884\u2013895","journal-title":"IEEE Trans Commun"},{"key":"3566_CR190","doi-asserted-by":"publisher","first-page":"210","DOI":"10.1109\/JPROC.2005.861013","volume":"94","author":"A Morello","year":"2006","unstructured":"Morello A, Mignone V. DVB-S2: the second generation standard for satellite broad-band services. Proc IEEE, 2006, 94: 210\u2013227","journal-title":"Proc IEEE"},{"key":"3566_CR191","doi-asserted-by":"publisher","first-page":"401","DOI":"10.1002\/sat.789","volume":"22","author":"R Rinaldo","year":"2004","unstructured":"Rinaldo R, Gaudenzi R D. Capacity analysis and system optimization for the forward link of multi-beam satellite broadband systems exploiting adaptive coding and modulation. Int J Satell Commun Network, 2004, 22: 401\u2013423","journal-title":"Int J Satell Commun Network"},{"key":"3566_CR192","doi-asserted-by":"publisher","first-page":"2465","DOI":"10.1109\/TCOMM.2010.080310.090176","volume":"58","author":"S K Ahn","year":"2010","unstructured":"Ahn S K, Yang K. Adaptive modulation and coding schemes based on LDPC codes with irregular modulation. IEEE Trans Commun, 2010, 58: 2465\u20132470","journal-title":"IEEE Trans Commun"},{"key":"3566_CR193","doi-asserted-by":"publisher","first-page":"424","DOI":"10.1109\/TBC.2021.3051524","volume":"67","author":"M Tropea","year":"2021","unstructured":"Tropea M, de Rango F, Santamaria A F. Design of a two-stage scheduling scheme for DVB-S2\/S2X satellite architecture. IEEE Trans Broadcast, 2021, 67: 424\u2013437","journal-title":"IEEE Trans Broadcast"},{"key":"3566_CR194","doi-asserted-by":"publisher","first-page":"1681","DOI":"10.1109\/26.871393","volume":"48","author":"D R Pauluzzi","year":"2000","unstructured":"Pauluzzi D R, Beaulieu N C. A comparison of SNR estimation techniques for the AWGN channel. IEEE Trans Commun, 2000, 48: 1681\u20131691","journal-title":"IEEE Trans Commun"},{"key":"3566_CR195","doi-asserted-by":"crossref","unstructured":"Weerackody V. Adaptive coding and modulation for satellite communication links in the presence of channel estimation errors. In: Proceedings of IEEE Military Communications Conference, Diego, 2013. 622\u2013627","DOI":"10.1109\/MILCOM.2013.112"},{"key":"3566_CR196","first-page":"72","volume":"46","author":"X Yu","year":"2019","unstructured":"Yu X, Wang S. Adaptive information transmission scheme for LEO satellite based on Ka band. Comput Sci, 2019, 46: 72\u201379","journal-title":"Comput Sci"},{"key":"3566_CR197","doi-asserted-by":"publisher","first-page":"327","DOI":"10.1109\/JOE.2014.2323365","volume":"40","author":"L Wan","year":"2015","unstructured":"Wan L, Zhou H, Xu X, et al. Adaptive modulation and coding for underwater acoustic OFDM. IEEE J Ocean Eng, 2015, 40: 327\u2013336","journal-title":"IEEE J Ocean Eng"},{"key":"3566_CR198","doi-asserted-by":"publisher","first-page":"11543","DOI":"10.1109\/ACCESS.2019.2892228","volume":"7","author":"R Zeng","year":"2019","unstructured":"Zeng R, Liu T, Yu X T, et al. Novel channel quality indicator prediction scheme for adaptive modulation and coding in high mobility environments. IEEE Access, 2019, 7: 11543\u201311553","journal-title":"IEEE Access"},{"key":"3566_CR199","doi-asserted-by":"publisher","first-page":"5496","DOI":"10.1109\/TWC.2014.2350974","volume":"13","author":"J Meng","year":"2014","unstructured":"Meng J, Yang E H. Constellation and rate selection in adaptive modulation and coding based on finite blocklength analysis and its application to LTE. IEEE Trans Wireless Commun, 2014, 13: 5496\u20135508","journal-title":"IEEE Trans Wireless Commun"},{"key":"3566_CR200","doi-asserted-by":"publisher","first-page":"697","DOI":"10.1109\/TCOMM.2009.03.070115","volume":"57","author":"A Farrokh","year":"2009","unstructured":"Farrokh A, Krishnamurthy V, Schober R. Optimal adaptive modulation and coding with switching costs. IEEE Trans Commun, 2009, 57: 697\u2013706","journal-title":"IEEE Trans Commun"},{"key":"3566_CR201","doi-asserted-by":"publisher","first-page":"332","DOI":"10.24138\/jcomss.v14i4.616","volume":"14","author":"S Kojima","year":"2018","unstructured":"Kojima S, Maruta K, Ahn C J. Throughput maximization by adaptive switching with modulation coding scheme and frequency symbol spreading. JCOMSS, 2018, 14: 332\u2013339","journal-title":"JCOMSS"},{"key":"3566_CR202","doi-asserted-by":"crossref","unstructured":"Zheng Y, Ren S, Xu X, et al. A modified ARIMA model for CQI prediction in LTE-based mobile satellite communications. In: Proceedings of IEEE International Conference on Information Science and Technology, Wuhan, 2012. 822\u2013826","DOI":"10.1109\/ICIST.2012.6221763"},{"key":"3566_CR203","doi-asserted-by":"publisher","first-page":"665","DOI":"10.1109\/LWC.2018.2881978","volume":"8","author":"M Elwekeil","year":"2019","unstructured":"Elwekeil M, Jiang S, Wang T, et al. Deep convolutional neural networks for link adaptations in MIMO-OFDM wireless systems. IEEE Wireless Commun Lett, 2019, 8: 665\u2013668","journal-title":"IEEE Wireless Commun Lett"},{"key":"3566_CR204","doi-asserted-by":"publisher","first-page":"1030","DOI":"10.1109\/JSAC.2018.2832820","volume":"36","author":"P V R Ferreira","year":"2018","unstructured":"Ferreira P V R, Paffenroth R, Wyglinski A M, et al. Multiobjective reinforcement learning for cognitive satellite communications using deep neural network ensembles. IEEE J Sel Areas Commun, 2018, 36: 1030\u20131041","journal-title":"IEEE J Sel Areas Commun"},{"key":"3566_CR205","doi-asserted-by":"publisher","first-page":"3022","DOI":"10.3390\/app9153022","volume":"9","author":"M AbdelMoniem","year":"2019","unstructured":"AbdelMoniem M, Gasser S M, El-Mahallawy M S, et al. Enhanced NOMA system using adaptive coding and modulation based on LSTM neural network channel estimation. Appl Sci, 2019, 9: 3022","journal-title":"Appl Sci"},{"key":"3566_CR206","doi-asserted-by":"publisher","first-page":"183545","DOI":"10.1109\/ACCESS.2019.2946973","volume":"7","author":"S Kojima","year":"2019","unstructured":"Kojima S, Maruta K, Ahn C J. Adaptive modulation and coding using neural network based SNR estimation. IEEE Access, 2019, 7: 183545\u2013183553","journal-title":"IEEE Access"},{"key":"3566_CR207","doi-asserted-by":"publisher","first-page":"2809","DOI":"10.1109\/TCOMM.2020.2974215","volume":"68","author":"A Tato","year":"2020","unstructured":"Tato A, Mosquera C, Henarejos P, et al. Neural network aided computation of mutual information for adaptation of spatial modulation. IEEE Trans Commun, 2020, 68: 2809\u20132822","journal-title":"IEEE Trans Commun"},{"key":"3566_CR208","doi-asserted-by":"publisher","first-page":"3281","DOI":"10.1109\/TWC.2019.2912754","volume":"18","author":"L Zhang","year":"2019","unstructured":"Zhang L, Tan J, Liang Y C, et al. Deep reinforcement learning-based modulation and coding scheme selection in cognitive heterogeneous networks. IEEE Trans Wireless Commun, 2019, 18: 3281\u20133294","journal-title":"IEEE Trans Wireless Commun"},{"key":"3566_CR209","first-page":"157","volume-title":"Machine Learning\u2014Based Adaptive Modulation and Coding Design","author":"L Zhang","year":"2020","unstructured":"Zhang L, Wu Z. Machine Learning\u2014Based Adaptive Modulation and Coding Design. Piscataway: Wiley-IEEE Press, 2020. 157\u2013180"},{"key":"3566_CR210","doi-asserted-by":"crossref","unstructured":"Gruber T, Cammerer S, Hoydis J, et al. On deep learning-based channel decoding. In: Proceedings of the 51st Annual Conference on Information Sciences and Systems (CISS), Baltimore, 2017. 1\u20136","DOI":"10.1109\/CISS.2017.7926071"},{"key":"3566_CR211","doi-asserted-by":"crossref","unstructured":"Wang X, Li H, Wu Q. Optimizing adaptive coding and modulation for satellite network with ML-based CSI prediction. In: Proceedings of IEEE Wireless Communications and Networking Conference (WCNC), Shenzhen, 2019. 1\u20136","DOI":"10.1109\/WCNC.2019.8885616"}],"container-title":["Science China Information Sciences"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11432-022-3566-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11432-022-3566-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11432-022-3566-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,12]],"date-time":"2024-10-12T07:17:44Z","timestamp":1728717464000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11432-022-3566-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,1,11]]},"references-count":211,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2023,2]]}},"alternative-id":["3566"],"URL":"https:\/\/doi.org\/10.1007\/s11432-022-3566-4","relation":{},"ISSN":["1674-733X","1869-1919"],"issn-type":[{"value":"1674-733X","type":"print"},{"value":"1869-1919","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,1,11]]},"assertion":[{"value":"9 March 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"27 May 2022","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 August 2022","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"11 January 2023","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}],"article-number":"121301"}}