{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,11]],"date-time":"2026-03-11T22:49:30Z","timestamp":1773269370719,"version":"3.50.1"},"publisher-location":"Cham","reference-count":32,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030947620","type":"print"},{"value":"9783030947637","type":"electronic"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-030-94763-7_16","type":"book-chapter","created":{"date-parts":[[2022,1,17]],"date-time":"2022-01-17T08:24:23Z","timestamp":1642407863000},"page":"201-217","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Feature Detection Based Spectrum Sensing in\u00a0NOMA System"],"prefix":"10.1007","author":[{"given":"Jingyi","family":"Wu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tianheng","family":"Xu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ting","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kaijie","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,1,17]]},"reference":[{"issue":"3","key":"16_CR1","doi-asserted-by":"publisher","first-page":"28","DOI":"10.1109\/MVT.2019.2921208","volume":"14","author":"Z Zhang","year":"2019","unstructured":"Zhang, Z., et al.: 6G wireless networks: Vision, requirements, architecture, and key technologies. IEEE Veh. Technol. Mag. 14(3), 28\u201341 (2019)","journal-title":"IEEE Veh. Technol. Mag."},{"key":"16_CR2","doi-asserted-by":"publisher","first-page":"127639","DOI":"10.1109\/ACCESS.2019.2939938","volume":"7","author":"A Ghosh","year":"2019","unstructured":"Ghosh, A., Maeder, A., Baker, M., Chandramouli, D.: 5G evolution: a view on 5G cellular technology beyond 3GPP release 15. IEEE Access 7, 127639\u2013127651 (2019)","journal-title":"IEEE Access"},{"issue":"1","key":"16_CR3","doi-asserted-by":"publisher","first-page":"46","DOI":"10.1109\/MWC.001.1900246","volume":"27","author":"T Xu","year":"2020","unstructured":"Xu, T., Zhou, T., Tian, J., Sang, J., Hu, H.: Intelligent spectrum sensing: when reinforcement learning meets automatic repeat sensing in 5G communications. IEEE Wirel. Commun. 27(1), 46\u201353 (2020)","journal-title":"IEEE Wirel. Commun."},{"key":"16_CR4","doi-asserted-by":"crossref","unstructured":"Zou, Z., Yin, R., Wu, C., Yuan, J., Chen, X.: Distributed spectrum and power allocation for D2D-U networks. In: Monami 2020, pp. 161\u2013180. Springer International Publishing, Chiba (2020)","DOI":"10.1007\/978-3-030-64002-6_11"},{"issue":"6","key":"16_CR5","doi-asserted-by":"publisher","first-page":"944","DOI":"10.1109\/JPROC.2019.2913443","volume":"107","author":"S Vitturi","year":"2019","unstructured":"Vitturi, S., Zunino, C., Sauter, T.: Industrial communication systems and their future challenges: next-generation ethernet, IIoT, and 5G. Proc. IEEE 107(6), 944\u2013961 (2019)","journal-title":"Proc. IEEE"},{"key":"16_CR6","doi-asserted-by":"crossref","unstructured":"Chen, S., Zhai, D., Bai, W., Guan, H., Ma, P., Shao, W.: Resource allocation scheme design in power wireless heterogeneous networks considering load balance. In: Monami 2020, pp. 111\u2013124. Springer International Publishing, Chiba (2020)","DOI":"10.1007\/978-3-030-64002-6_8"},{"issue":"3","key":"16_CR7","doi-asserted-by":"publisher","first-page":"55","DOI":"10.1109\/MCOM.001.1900411","volume":"58","author":"M Giordani","year":"2020","unstructured":"Giordani, M., Polese, M., Mezzavilla, M., Rangan, S., Zorzi, M.: Toward 6G networks: use cases and technologies. IEEE Commun. Mag. 58(3), 55\u201361 (2020)","journal-title":"IEEE Commun. Mag."},{"issue":"8","key":"16_CR8","doi-asserted-by":"publisher","first-page":"1637","DOI":"10.1109\/JSAC.2020.3000826","volume":"38","author":"J Zhang","year":"2020","unstructured":"Zhang, J., Bj\u00f6rnsonon, E., Matthaiou, M., Ng, D.W.K., Yang, H., Love, D.J.: Prospective multiple antenna technologies for beyond 5G. IEEE J. Select. Areas Commun. 38(8), 1637\u20131660 (2020)","journal-title":"IEEE J. Select. Areas Commun."},{"issue":"3","key":"16_CR9","doi-asserted-by":"publisher","first-page":"3161","DOI":"10.1109\/JSYST.2019.2959045","volume":"14","author":"H Qu","year":"2020","unstructured":"Qu, H., Xu, X., Zhao, J., Yan, F., Wang, W.: A robust hyperbolic tangent-based energy detector with gaussian and non-gaussian noise environments in cognitive radio system. IEEE Syst. J. 14(3), 3161\u20133172 (2020)","journal-title":"IEEE Syst. J."},{"issue":"2","key":"16_CR10","doi-asserted-by":"publisher","first-page":"162","DOI":"10.1109\/TCCN.2018.2790971","volume":"4","author":"CM Spooner","year":"2018","unstructured":"Spooner, C.M., Mody, A.N.: Wideband cyclostationary signal processing using sparse subsets of narrowband subchannels. IEEE Trans. Cogn. Commun. Netw. 4(2), 162\u2013176 (2018)","journal-title":"IEEE Trans. Cogn. Commun. Netw."},{"key":"16_CR11","doi-asserted-by":"crossref","unstructured":"Cabric, D., Mishra, S., Brodersen, R.: Implementation issues in spectrum sensing for cognitive radios. In: 2004 Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, vol. 1, pp. 772\u2013776 (2004)","DOI":"10.1109\/ACSSC.2004.1399240"},{"key":"16_CR12","doi-asserted-by":"crossref","unstructured":"Salama, G.M., Taha, S.A.: Cooperative spectrum sensing and hard decision rules for cognitive radio network. In: 2020 3rd International Conference on Computer Applications Information Security (ICCAIS), pp. 1\u20136 (2020)","DOI":"10.1109\/ICCAIS48893.2020.9096740"},{"key":"16_CR13","doi-asserted-by":"crossref","unstructured":"Sherbin, M.K., Sindhu, V.: Cyclostationary feature detection for spectrum sensing in cognitive radio network. In: 2019 International Conference on Intelligent Computing and Control Systems (ICCS), pp. 1250\u20131254 (2019)","DOI":"10.1109\/ICCS45141.2019.9065769"},{"key":"16_CR14","doi-asserted-by":"crossref","unstructured":"Yasrab, T., Gurugopinath, S.: Spectral efficiency of MIMO-NOMA cognitive radios with energy-based spectrum sensing. In: 2019 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER), pp. 1\u20136 (2019)","DOI":"10.1109\/DISCOVER47552.2019.9007920"},{"key":"16_CR15","doi-asserted-by":"crossref","unstructured":"Chin, W.L.: On the noise uncertainty for the energy detection of OFDM signals. IEEE Trans. Veh. Technol. 68(8), 7593\u20137602 (2019)","DOI":"10.1109\/TVT.2019.2920142"},{"key":"16_CR16","doi-asserted-by":"crossref","unstructured":"Picciolo, M.L., Myrick, W.L., Goldstein, J.S.: A quadrature median matched filter for robust detection and estimation. In: 2019 International Radar Conference (RADAR), pp. 1\u20136 (2019)","DOI":"10.1109\/RADAR41533.2019.171407"},{"issue":"11","key":"16_CR17","doi-asserted-by":"publisher","first-page":"10815","DOI":"10.1109\/TVT.2018.2869381","volume":"67","author":"T Xu","year":"2018","unstructured":"Xu, T., Zhang, M., Hu, H., Chen, H.H.: Sliced spectrum sensing-a channel condition aware sensing technique for cognitive radio networks. IEEE Trans. Veh. Technol. 67(11), 10815\u201310829 (2018)","journal-title":"IEEE Trans. Veh. Technol."},{"issue":"3","key":"16_CR18","doi-asserted-by":"publisher","first-page":"134","DOI":"10.1109\/MNET.001.1900287","volume":"34","author":"W Saad","year":"2020","unstructured":"Saad, W., Bennis, M., Chen, M.: A vision of 6G wireless systems: applications, trends, technologies, and open research problems. IEEE Netw. 34(3), 134\u2013142 (2020)","journal-title":"IEEE Netw."},{"issue":"4","key":"16_CR19","doi-asserted-by":"publisher","first-page":"70","DOI":"10.1109\/MNET.2019.1800418","volume":"33","author":"P Yang","year":"2019","unstructured":"Yang, P., Xiao, Y., Xiao, M., Li, S.: 6G wireless communications: vision and potential techniques. IEEE Netw. 33(4), 70\u201375 (2019)","journal-title":"IEEE Netw."},{"key":"16_CR20","doi-asserted-by":"crossref","unstructured":"Wang, K., Zhou, T., Xu, T., Hu, H., Tao, X.: Asymmetric adaptive modulation for uplink NOMA systems. IEEE Trans. Commun. 69, 1\u20131 (2021)","DOI":"10.1109\/TCOMM.2021.3102152"},{"issue":"2","key":"16_CR21","doi-asserted-by":"publisher","first-page":"116","DOI":"10.1109\/MCOM.2018.1800179","volume":"57","author":"K Yang","year":"2019","unstructured":"Yang, K., Yang, N., Ye, N., Jia, M., Gao, Z., Fan, R.: Non-orthogonal multiple access: achieving sustainable future radio access. IEEE Commun. Mag. 57(2), 116\u2013121 (2019)","journal-title":"IEEE Commun. Mag."},{"issue":"4","key":"16_CR22","doi-asserted-by":"publisher","first-page":"2192","DOI":"10.1109\/COMST.2020.3013514","volume":"22","author":"O Maraqa","year":"2020","unstructured":"Maraqa, O., Rajasekaran, A.S., Al-Ahmadi, S., Yanikomeroglu, H., Sait, S.M.: A survey of rate-optimal power domain NOMA with enabling technologies of future wireless networks. IEEE Commun. Surv. Tutor. 22(4), 2192\u20132235 (2020)","journal-title":"IEEE Commun. Surv. Tutor."},{"issue":"11","key":"16_CR23","doi-asserted-by":"publisher","first-page":"2435","DOI":"10.1109\/LCOMM.2020.3003274","volume":"24","author":"F Wei","year":"2020","unstructured":"Wei, F., Zhou, T., Xu, T., Hu, H.: BER analysis for uplink NOMA in asymmetric channels. IEEE Commun. Lett. 24(11), 2435\u20132439 (2020)","journal-title":"IEEE Commun. Lett."},{"issue":"10","key":"16_CR24","doi-asserted-by":"publisher","first-page":"2181","DOI":"10.1109\/JSAC.2017.2725519","volume":"35","author":"Z Ding","year":"2017","unstructured":"Ding, Z., Lei, X., Karagiannidis, G.K., Schober, R., Yuan, J., Bhargava, V.K.: A survey on non-orthogonal multiple access for 5G networks: Research challenges and future trends. IEEE J. Select. Areas Commun. 35(10), 2181\u20132195 (2017)","journal-title":"IEEE J. Select. Areas Commun."},{"key":"16_CR25","doi-asserted-by":"crossref","unstructured":"Wang, Z., Xu, T., Zhou, T., Hu, H.: Joint tier slicing and power control for a novel multicast system based on NOMA and D2D-relay. In: GLOBECOM 2020\u20132020 IEEE Global Communications Conference, pp. 1\u20136 (2020)","DOI":"10.1109\/GLOBECOM42002.2020.9322555"},{"key":"16_CR26","doi-asserted-by":"crossref","unstructured":"Wang, X., Jia, M., Guo, Q.: Full-duplex cooperative non-orthogonal multiple access with spectrum sensing. In: 2020 15th IEEE International Conference on Signal Processing (ICSP), pp. 411\u2013416 (2020)","DOI":"10.1109\/ICSP48669.2020.9321017"},{"key":"16_CR27","doi-asserted-by":"publisher","first-page":"24904","DOI":"10.1109\/ACCESS.2018.2828801","volume":"6","author":"X Liu","year":"2018","unstructured":"Liu, X., Wang, Y., Liu, S., Meng, J.: Spectrum resource optimization for NOMA-based cognitive radio in 5G communications. IEEE Access 6, 24904\u201324911 (2018)","journal-title":"IEEE Access"},{"key":"16_CR28","doi-asserted-by":"publisher","first-page":"89594","DOI":"10.1109\/ACCESS.2019.2926429","volume":"7","author":"Z Song","year":"2019","unstructured":"Song, Z., Wang, X., Liu, Y., Zhang, Z.: Joint spectrum resource allocation in NOMA-based cognitive radio network with SWIPT. IEEE Access 7, 89594\u201389603 (2019)","journal-title":"IEEE Access"},{"key":"16_CR29","doi-asserted-by":"crossref","unstructured":"Jia, M., Wang., X., Guo, Q., Ho, I., Gu, X., Lau, F.: Performance analysis of cooperative non-orthogonal multiple access based on spectrum sensing. IEEE Trans. Veh. Technol. 68(7), 6855\u20136866 (2019)","DOI":"10.1109\/TVT.2019.2919748"},{"key":"16_CR30","doi-asserted-by":"publisher","first-page":"139172","DOI":"10.1109\/ACCESS.2019.2940698","volume":"7","author":"X Wang","year":"2019","unstructured":"Wang, X., et al.: Energy efficiency optimization for NOMA-based cognitive radio with energy harvesting. IEEE Access 7, 139172\u2013139180 (2019)","journal-title":"IEEE Access"},{"issue":"8","key":"16_CR31","doi-asserted-by":"publisher","first-page":"2092","DOI":"10.1109\/TWC.2006.1687724","volume":"5","author":"G Bauch","year":"2006","unstructured":"Bauch, G., Malik, J.: Cyclic delay diversity with bit-interleaved coded modulation in orthogonal frequency division multiple access. IEEE Trans. Wirel. Commun. 5(8), 2092\u20132100 (2006)","journal-title":"IEEE Trans. Wirel. Commun."},{"issue":"6","key":"16_CR32","doi-asserted-by":"publisher","first-page":"1069","DOI":"10.1109\/LCOMM.2019.2911504","volume":"23","author":"N Iradukunda","year":"2019","unstructured":"Iradukunda, N., Nguyen, H.T., Hwang, W.J.: On cyclic delay diversity-based single-carrier scheme in spectrum sharing systems. IEEE Commun. Lett. 23(6), 1069\u20131072 (2019)","journal-title":"IEEE Commun. Lett."}],"container-title":["Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering","Mobile Networks and Management"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-94763-7_16","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,16]],"date-time":"2024-09-16T12:49:25Z","timestamp":1726490965000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-94763-7_16"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783030947620","9783030947637"],"references-count":32,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-94763-7_16","relation":{},"ISSN":["1867-8211","1867-822X"],"issn-type":[{"value":"1867-8211","type":"print"},{"value":"1867-822X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"17 January 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"MONAMI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Mobile Networks and Management","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 October 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 October 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"monami2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Confy +","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"53","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"26","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"49% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"4","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}