{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,29]],"date-time":"2025-10-29T03:54:42Z","timestamp":1761710082576,"version":"3.40.3"},"publisher-location":"Cham","reference-count":12,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031530814"},{"type":"electronic","value":"9783031530821"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"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":[[2024]]},"DOI":"10.1007\/978-3-031-53082-1_11","type":"book-chapter","created":{"date-parts":[[2024,1,30]],"date-time":"2024-01-30T18:02:52Z","timestamp":1706637772000},"page":"130-143","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Deep Reinforcement Learning Based Energy-Efficient Design for\u00a0STAR-IRS Assisted V2V Users"],"prefix":"10.1007","author":[{"given":"Shalini","family":"Yadav","sequence":"first","affiliation":[]},{"given":"Rahul","family":"Rishi","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,1,31]]},"reference":[{"issue":"1","key":"11_CR1","doi-asserted-by":"publisher","first-page":"106","DOI":"10.1109\/MCOM.001.1900107","volume":"58","author":"Q Wu","year":"2019","unstructured":"Wu, Q., Zhang, R.: Towards smart and reconfigurable environment: intelligent reflecting surface aided wireless network. IEEE Commun. Mag. 58(1), 106\u2013112 (2019)","journal-title":"IEEE Commun. Mag."},{"issue":"6","key":"11_CR2","doi-asserted-by":"publisher","first-page":"102","DOI":"10.1109\/MWC.001.2100191","volume":"28","author":"Y Liu","year":"2021","unstructured":"Liu, Y., et al.: Star: simultaneous transmission and reflection for 360$$^\\circ $$ coverage by intelligent surfaces. IEEE Wirel. Commun. 28(6), 102\u2013109 (2021)","journal-title":"IEEE Wirel. Commun."},{"key":"11_CR3","doi-asserted-by":"crossref","unstructured":"Budhiraja, I., Vishnoi, V., Kumar, N., Garg, D., Tyagi, S.: Energy-efficient optimization scheme for RIS-assisted communication underlaying UAV with NOMA. In: ICC 2022-IEEE International Conference on Communications, pp. 1\u20136, IEEE (2022)","DOI":"10.1109\/ICC45855.2022.9838872"},{"key":"11_CR4","doi-asserted-by":"crossref","unstructured":"Sharma, H., et al.: Federated learning based energy efficient scheme for MEC with NOMA underlaying UAV. In: Proceedings of the 5th International ACM Mobicom Workshop on Drone Assisted Wireless Communications for 5G and Beyond, pp. 73\u201378 (2022)","DOI":"10.1145\/3555661.3560867"},{"issue":"11","key":"11_CR5","doi-asserted-by":"publisher","first-page":"5141","DOI":"10.1109\/TWC.2019.2933417","volume":"18","author":"N Zhao","year":"2019","unstructured":"Zhao, N., Liang, Y.-C., Niyato, D., Pei, Y., Wu, M., Jiang, Y.: Deep reinforcement learning for user association and resource allocation in heterogeneous cellular networks. IEEE Trans. Wireless Commun. 18(11), 5141\u20135152 (2019)","journal-title":"IEEE Trans. Wireless Commun."},{"key":"11_CR6","unstructured":"Wang, K., Xue, L., Yang, Z., Peng, M.: Max-min energy-efficiency fair optimization in STAR-RIS assisted communication system. IEEE Access (2023)"},{"key":"11_CR7","doi-asserted-by":"crossref","unstructured":"Aung, P.S., Nguyen, L.X., Tun, Y.K., Han, Z., Hong, C.S.: Deep reinforcement learning based spectral efficiency maximization in STAR-RIS-assisted indoor outdoor communication. In: NOMS 2023\u20132023 IEEE\/IFIP Network Operations and Management Symposium, pp. 1\u20136, IEEE (2023)","DOI":"10.1109\/NOMS56928.2023.10154352"},{"key":"11_CR8","doi-asserted-by":"crossref","unstructured":"Chen, J., Ma, Z., Zou, Y., Jia, J., Wang, X.: DRL-based energy efficient resource allocation for STAR-RIS assisted coordinated multi-cell networks. In: GLOBECOM 2022\u20132022 IEEE Global Communications Conference, pp. 4232\u20134237, IEEE (2022)","DOI":"10.1109\/GLOBECOM48099.2022.10001595"},{"key":"11_CR9","doi-asserted-by":"crossref","unstructured":"Asif, M., Ihsan, A., Khan, W.U., Ali, Z., Zhang, S., Wu, S.X.: Energy-efficient beamforming and resource optimization for STAR-IRS enabled hybrid-NOMA 6G communications. IEEE Trans. Green Commun. Netw. (2023)","DOI":"10.1109\/TGCN.2023.3281414"},{"issue":"4","key":"11_CR10","doi-asserted-by":"publisher","first-page":"610","DOI":"10.1109\/LWC.2023.3236411","volume":"12","author":"Q Zhang","year":"2023","unstructured":"Zhang, Q., Wang, Y., Li, H., Hou, S., Song, Z.: Resource allocation for energy efficient STAR-RIS aided MEC systems. IEEE Wirel. Commun. Lett. 12(4), 610\u2013614 (2023)","journal-title":"IEEE Wirel. Commun. Lett."},{"issue":"9","key":"11_CR11","doi-asserted-by":"publisher","first-page":"3134","DOI":"10.1109\/LCOMM.2021.3082214","volume":"25","author":"J Xu","year":"2021","unstructured":"Xu, J., Liu, Y., Mu, X., Dobre, O.A.: STAR-RISS: simultaneous transmitting and reflecting reconfigurable intelligent surfaces. IEEE Commun. Lett. 25(9), 3134\u20133138 (2021)","journal-title":"IEEE Commun. Lett."},{"issue":"5","key":"11_CR12","doi-asserted-by":"publisher","first-page":"3083","DOI":"10.1109\/TWC.2021.3118225","volume":"21","author":"X Mu","year":"2021","unstructured":"Mu, X., Liu, Y., Guo, L., Lin, J., Schober, R.: Simultaneously transmitting and reflecting (STAR) RIS aided wireless communications. IEEE Trans. Wirel. Commun. 21(5), 3083\u20133098 (2021)","journal-title":"IEEE Trans. Wirel. Commun."}],"container-title":["Communications in Computer and Information Science","Recent Trends in Image Processing and Pattern Recognition"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-53082-1_11","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,30]],"date-time":"2024-01-30T18:08:42Z","timestamp":1706638122000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-53082-1_11"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031530814","9783031530821"],"references-count":12,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-53082-1_11","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"31 January 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"RTIP2R","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Recent Trends in Image Processing and Pattern Recognition","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Derby","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"United Kingdom","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 December 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 December 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"rtip2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/rtip2r-conference.org\/2023\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"CMT, Microsoft","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"216","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":"62","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":"29% - 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":"2.39","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":"2.79","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)"}}]}}