{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T15:25:04Z","timestamp":1759332304293,"version":"3.40.3"},"publisher-location":"Cham","reference-count":19,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031714696"},{"type":"electronic","value":"9783031714702"}],"license":[{"start":{"date-parts":[[2024,11,13]],"date-time":"2024-11-13T00:00:00Z","timestamp":1731456000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,11,13]],"date-time":"2024-11-13T00:00:00Z","timestamp":1731456000000},"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":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-3-031-71470-2_11","type":"book-chapter","created":{"date-parts":[[2024,11,12]],"date-time":"2024-11-12T17:09:43Z","timestamp":1731431383000},"page":"126-138","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Joint Optimization Design of\u00a0Intelligence Reflecting Surface Assisted MU-MISO System Based on\u00a0Deep Reinforcement Learning"],"prefix":"10.1007","author":[{"given":"Xiaoyu","family":"Wu","sequence":"first","affiliation":[]},{"given":"Anming","family":"Dong","sequence":"additional","affiliation":[]},{"given":"Jiguo","family":"Yu","sequence":"additional","affiliation":[]},{"given":"Sufang","family":"Li","sequence":"additional","affiliation":[]},{"given":"Guijuan","family":"Wang","sequence":"additional","affiliation":[]},{"given":"You","family":"Zhou","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,11,13]]},"reference":[{"key":"11_CR1","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2020.107236","volume":"174","author":"L Nguyen","year":"2020","unstructured":"Nguyen, L., Nguyen, H.T.: Mobility based network lifetime in wireless sensor networks: a review. Comput. Netw. 174, 107236 (2020)","journal-title":"Comput. Netw."},{"issue":"5","key":"11_CR2","doi-asserted-by":"publisher","first-page":"1536","DOI":"10.1109\/TPDS.2023.3253604","volume":"34","author":"Z Wang","year":"2023","unstructured":"Wang, Z., Hu, Q., Li, R., Xu, M., Xiong, Z.: Incentive mechanism design for joint resource allocation in blockchain-based federated learning. IEEE Trans. Parallel Distrib. Syst. 34(5), 1536\u20131547 (2023)","journal-title":"IEEE Trans. Parallel Distrib. Syst."},{"issue":"3","key":"11_CR3","doi-asserted-by":"publisher","first-page":"1499","DOI":"10.1109\/TWC.2014.011714.130846","volume":"13","author":"O El Ayach","year":"2014","unstructured":"El Ayach, O., Rajagopal, S., Abu-Surra, S., Pi, Z., Heath, R.W.: Spatially sparse precoding in millimeter wave mimo systems. IEEE Trans. Wireless Commun. 13(3), 1499\u20131513 (2014)","journal-title":"IEEE Trans. Wireless Commun."},{"issue":"7","key":"11_CR4","doi-asserted-by":"publisher","first-page":"3403","DOI":"10.1109\/TMTT.2018.2829702","volume":"66","author":"B Yang","year":"2018","unstructured":"Yang, B., Yu, Z., Lan, J., Zhang, R., Zhou, J., Hong, W.: Digital beamforming-based massive mimo transceiver for 5g millimeter-wave communications. IEEE Trans. Microw. Theory Tech. 66(7), 3403\u20133418 (2018)","journal-title":"IEEE Trans. Microw. Theory Tech."},{"issue":"8","key":"11_CR5","doi-asserted-by":"publisher","first-page":"4157","DOI":"10.1109\/TWC.2019.2922609","volume":"18","author":"C Huang","year":"2019","unstructured":"Huang, C., Zappone, A., Alexandropoulos, G.C., Debbah, M., Yuen, C.: Reconfigurable intelligent surfaces for energy efficiency in wireless communication. IEEE Trans. Wireless Commun. 18(8), 4157\u20134170 (2019)","journal-title":"IEEE Trans. Wireless Commun."},{"issue":"2","key":"11_CR6","doi-asserted-by":"publisher","first-page":"548","DOI":"10.1109\/TC.2022.3169436","volume":"72","author":"M Xu","year":"2022","unstructured":"Xu, M., Zou, Z., Cheng, Y., Hu, Q., Yu, D., Cheng, X.: Spdl: a blockchain-enabled secure and privacy-preserving decentralized learning system. IEEE Trans. Comput. 72(2), 548\u2013558 (2022)","journal-title":"IEEE Trans. Comput."},{"issue":"5","key":"11_CR7","doi-asserted-by":"publisher","first-page":"3313","DOI":"10.1109\/TCOMM.2021.3051897","volume":"69","author":"Q Wu","year":"2021","unstructured":"Wu, Q., Zhang, S., Zheng, B., You, C., Zhang, R.: Intelligent reflecting surface-aided wireless communications: a tutorial. IEEE Trans. Commun. 69(5), 3313\u20133351 (2021)","journal-title":"IEEE Trans. Commun."},{"key":"11_CR8","doi-asserted-by":"crossref","unstructured":"He, Z., H\u00e9liot, F., Ma, Y.: CNN-enabled joint active and passive beamforming for ris-assisted mu-mimo systems. In: 2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring), pp.\u00a01\u20136. IEEE (2023)","DOI":"10.1109\/VTC2023-Spring57618.2023.10200991"},{"key":"11_CR9","doi-asserted-by":"crossref","unstructured":"Chen, B.J., Chang, R.Y., Chien, F.T., Poor, H.V.: Graph neural network-based joint beamforming for hybrid relay and reconfigurable intelligent surface aided multiuser systems. IEEE Wireless Commun. Lett. (2023)","DOI":"10.1109\/LWC.2023.3295761"},{"key":"11_CR10","doi-asserted-by":"crossref","unstructured":"Saab, S., Surra, S.A., Xu, G., Heath, R.: An inverted l-shaped multi-layer reconfigurable intelligent surface for thz communications. In: 2022 56th Asilomar Conference on Signals, Systems, and Computers, pp. 1060\u20131063. IEEE (2022)","DOI":"10.1109\/IEEECONF56349.2022.10052030"},{"issue":"9","key":"11_CR11","doi-asserted-by":"publisher","first-page":"7536","DOI":"10.1109\/TWC.2022.3159564","volume":"21","author":"J Qiu","year":"2022","unstructured":"Qiu, J., Yu, J., Dong, A., Yu, K.: Joint beamforming for IRS-aided multi-cell miso system: Sum rate maximization and sinr balancing. IEEE Trans. Wireless Commun. 21(9), 7536\u20137549 (2022)","journal-title":"IEEE Trans. Wireless Commun."},{"key":"11_CR12","doi-asserted-by":"crossref","unstructured":"Mao, J., Yener, A.: Iterative power control for wireless networks with distributed reconfigurable intelligent surfaces. In: GLOBECOM 2022-2022 IEEE Global Communications Conference, pp. 3290\u20133295. IEEE (2022)","DOI":"10.1109\/GLOBECOM48099.2022.10000970"},{"key":"11_CR13","doi-asserted-by":"crossref","unstructured":"Liu, T., Feng, L., Li, W., Yang, Z.: Radio resource allocation for RIS-aided d2d communication based on greedy hypergraph-with-weight coloring. In: 2021 22nd Asia-Pacific Network Operations and Management Symposium (APNOMS), pp. 84\u201389. IEEE (2021)","DOI":"10.23919\/APNOMS52696.2021.9562507"},{"issue":"1","key":"11_CR14","doi-asserted-by":"publisher","first-page":"375","DOI":"10.1109\/TWC.2020.3024860","volume":"20","author":"H Yang","year":"2020","unstructured":"Yang, H., Xiong, Z., Zhao, J., Niyato, D., Xiao, L., Wu, Q.: Deep reinforcement learning-based intelligent reflecting surface for secure wireless communications. IEEE Trans. Wireless Commun. 20(1), 375\u2013388 (2020)","journal-title":"IEEE Trans. Wireless Commun."},{"key":"11_CR15","doi-asserted-by":"crossref","unstructured":"Kim, K., Tun, Y.K., Munir, M.S., Saad, W., Hong, C.S.: Deep reinforcement learning for channel estimation in RIS-aided wireless networks. IEEE Commun. Lett. 27(8), 2053\u20132057 (2023)","DOI":"10.1109\/LCOMM.2023.3280821"},{"key":"11_CR16","doi-asserted-by":"crossref","unstructured":"Zhang, J., Zhang, H., Zhang, Z., Dai, H., Wu, W., Wang, B.: Deep reinforcement learning-empowered beamforming design for IRS-assisted miso interference channels. In: 2021 13th International Conference on Wireless Communications and Signal Processing (WCSP), pp.\u00a01\u20135. IEEE (2021)","DOI":"10.1109\/WCSP52459.2021.9613575"},{"key":"11_CR17","doi-asserted-by":"crossref","unstructured":"Huang, C., et al.: Hybrid beamforming for RIS-empowered multi-hop terahertz communications: a drl-based method. In: 2020 IEEE Globecom Workshops (GC Wkshps, pp.\u00a01\u20136. IEEE (2020)","DOI":"10.1109\/GCWkshps50303.2020.9367503"},{"key":"11_CR18","doi-asserted-by":"crossref","unstructured":"Ma, L., Zhang, X., Sun, J., Zhang, W., Wang, C.X.: Joint optimization of reconfigurable intelligent surfaces and base station beamforming in miso system based on deep reinforcement learning. In: 2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring), pp.\u00a01\u20135. IEEE (2023)","DOI":"10.1109\/VTC2023-Spring57618.2023.10199442"},{"issue":"8","key":"11_CR19","doi-asserted-by":"publisher","first-page":"1839","DOI":"10.1109\/JSAC.2020.3000835","volume":"38","author":"C Huang","year":"2020","unstructured":"Huang, C., Mo, R., Yuen, C.: Reconfigurable intelligent surface assisted multiuser miso systems exploiting deep reinforcement learning. IEEE J. Sel. Areas Commun. 38(8), 1839\u20131850 (2020)","journal-title":"IEEE J. Sel. Areas Commun."}],"container-title":["Lecture Notes in Computer Science","Wireless Artificial Intelligent Computing Systems and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-71470-2_11","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,12]],"date-time":"2024-11-12T18:07:50Z","timestamp":1731434870000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-71470-2_11"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11,13]]},"ISBN":["9783031714696","9783031714702"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-71470-2_11","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024,11,13]]},"assertion":[{"value":"13 November 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"WASA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Wireless Artificial Intelligent Computing Systems and Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Qingdao","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21 June 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 June 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"wasa2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/wasa-conference.org\/WASA2024\/index.html","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}