{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T14:41:12Z","timestamp":1742913672859,"version":"3.40.3"},"publisher-location":"Cham","reference-count":17,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030372613"},{"type":"electronic","value":"9783030372620"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-37262-0_12","type":"book-chapter","created":{"date-parts":[[2020,1,2]],"date-time":"2020-01-02T17:06:10Z","timestamp":1577984770000},"page":"149-161","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Multi-agent Reinforcement Learning for Joint Wireless and Computational Resource Allocation in Mobile Edge Computing System"],"prefix":"10.1007","author":[{"given":"Yawen","family":"Zhang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Weiwei","family":"Xia","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Feng","family":"Yan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huaqing","family":"Cheng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lianfeng","family":"Shen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,1,3]]},"reference":[{"doi-asserted-by":"crossref","unstructured":"Arulkumaran, K., Deisenroth, M.P., Brundage, M., Bharath, A.A.: A brief survey of deep reinforcement learning. arXiv preprint \narXiv:1708.05866\n\n (2017)","key":"12_CR1","DOI":"10.1109\/MSP.2017.2743240"},{"issue":"2","key":"12_CR2","doi-asserted-by":"publisher","first-page":"156","DOI":"10.1109\/TSMCC.2007.913919","volume":"38","author":"L Bu","year":"2008","unstructured":"Bu, L., Babu, R., De Schutter, B., et al.: A comprehensive survey of multiagent reinforcement learning. IEEE Trans. Syst. Man Cybern. Part C (Appl. Rev.) 38(2), 156\u2013172 (2008)","journal-title":"IEEE Trans. Syst. Man Cybern. Part C (Appl. Rev.)"},{"issue":"4","key":"12_CR3","doi-asserted-by":"publisher","first-page":"381","DOI":"10.1561\/1300000009","volume":"2","author":"M Chiang","year":"2008","unstructured":"Chiang, M., Hande, P., Lan, T., Tan, C.W., et al.: Power control in wireless cellular networks. Found. Trends\u00ae Networking 2(4), 381\u2013533 (2008)","journal-title":"Found. Trends\u00ae Networking"},{"doi-asserted-by":"crossref","unstructured":"Cuervo, E., et al.: MAUI: making smartphones last longer with code offload. In: Proceedings of the 8th International Conference on Mobile Systems, Applications, and Services, pp. 49\u201362. ACM (2010)","key":"12_CR4","DOI":"10.1145\/1814433.1814441"},{"doi-asserted-by":"crossref","unstructured":"Lan, Z., et al.: A hierarchical game for joint wireless and cloud resource allocation in mobile edge computing system. In: 10th International Conference on Wireless Communications and Signal Processing (WCSP), pp. 1\u20137. IEEE (2018)","key":"12_CR5","DOI":"10.1109\/WCSP.2018.8555606"},{"doi-asserted-by":"crossref","unstructured":"Li, J., Gao, H., Lv, T., Lu, Y.: Deep reinforcement learning based computation offloading and resource allocation for MEC. In: IEEE Wireless Communications and Networking Conference (WCNC), pp. 1\u20136. IEEE (2018)","key":"12_CR6","DOI":"10.1109\/WCNC.2018.8377343"},{"issue":"3","key":"12_CR7","doi-asserted-by":"publisher","first-page":"1628","DOI":"10.1109\/COMST.2017.2682318","volume":"19","author":"P Mach","year":"2017","unstructured":"Mach, P., Becvar, Z.: Mobile edge computing: a survey on architecture and computation offloading. IEEE Commun. Surv. Tutorials 19(3), 1628\u20131656 (2017)","journal-title":"IEEE Commun. Surv. Tutorials"},{"issue":"4","key":"12_CR8","doi-asserted-by":"publisher","first-page":"2322","DOI":"10.1109\/COMST.2017.2745201","volume":"19","author":"Y Mao","year":"2017","unstructured":"Mao, Y., You, C., Zhang, J., Huang, K., Letaief, K.B.: A survey on mobile edge computing: the communication perspective. IEEE Commun. Surv. Tutorials 19(4), 2322\u20132358 (2017)","journal-title":"IEEE Commun. Surv. Tutorials"},{"issue":"8","key":"12_CR9","doi-asserted-by":"publisher","first-page":"5506","DOI":"10.1109\/TWC.2018.2845360","volume":"17","author":"J Ren","year":"2018","unstructured":"Ren, J., Yu, G., Cai, Y., He, Y.: Latency optimization for resource allocation in mobile-edge computation offloading. IEEE Trans. Wireless Commun. 17(8), 5506\u20135519 (2018)","journal-title":"IEEE Trans. Wireless Commun."},{"unstructured":"Sutton, R.S., Barto, A.G.: Reinforcement Learning: An Introduction (2011)","key":"12_CR10"},{"issue":"3\u20134","key":"12_CR11","first-page":"279","volume":"8","author":"CJ Watkins","year":"1992","unstructured":"Watkins, C.J., Dayan, P.: Q-learning. Mach. Learn. 8(3\u20134), 279\u2013292 (1992)","journal-title":"Mach. Learn."},{"doi-asserted-by":"crossref","unstructured":"Wen, Y., Zhang, W., Luo, H.: Energy-optimal mobile application execution: taming resource-poor mobile devices with cloud clones. In: Proceedings IEEE Infocom, pp. 2716\u20132720. IEEE (2012)","key":"12_CR12","DOI":"10.1109\/INFCOM.2012.6195685"},{"issue":"2","key":"12_CR13","doi-asserted-by":"publisher","first-page":"210","DOI":"10.1109\/TNET.2003.810314","volume":"11","author":"M Xiao","year":"2003","unstructured":"Xiao, M., Shroff, N.B., Chong, E.K.P.: A utility-based power-control scheme in wireless cellular systems. IEEE\/ACM Trans. Networking 11(2), 210\u2013221 (2003)","journal-title":"IEEE\/ACM Trans. Networking"},{"doi-asserted-by":"crossref","unstructured":"Yang, T., Hu, Y., Gursoy, M.C., Schmeink, A., Mathar, R.: Deep reinforcement learning based resource allocation in low latency edge computing networks. In: 15th International Symposium on Wireless Communication Systems (ISWCS), pp. 1\u20135. IEEE (2018)","key":"12_CR14","DOI":"10.1109\/ISWCS.2018.8491089"},{"doi-asserted-by":"crossref","unstructured":"Yu, S., Wang, X., Langar, R.: Computation offloading for mobile edge computing: a deep learning approach. In: IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), pp. 1\u20136. IEEE (2017)","key":"12_CR15","DOI":"10.1109\/PIMRC.2017.8292514"},{"key":"12_CR16","doi-asserted-by":"publisher","first-page":"11255","DOI":"10.1109\/ACCESS.2017.2710056","volume":"5","author":"P Zhao","year":"2017","unstructured":"Zhao, P., Tian, H., Qin, C., Nie, G.: Energy-saving offloading by jointly allocating radio and computational resources for mobile edge computing. IEEE Access 5, 11255\u201311268 (2017)","journal-title":"IEEE Access"},{"key":"12_CR17","doi-asserted-by":"publisher","first-page":"5332","DOI":"10.1109\/ACCESS.2018.2790963","volume":"6","author":"Z Zhu","year":"2018","unstructured":"Zhu, Z., et al.: Fair resource allocation for system throughput maximization in mobile edge computing. IEEE Access 6, 5332\u20135340 (2018)","journal-title":"IEEE Access"}],"container-title":["Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering","Ad Hoc Networks"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-37262-0_12","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,1,3]],"date-time":"2020-01-03T01:04:06Z","timestamp":1578013446000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-37262-0_12"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030372613","9783030372620"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-37262-0_12","relation":{},"ISSN":["1867-8211","1867-822X"],"issn-type":[{"type":"print","value":"1867-8211"},{"type":"electronic","value":"1867-822X"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"3 January 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ADHOCNETS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Ad Hoc Networks","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Queenstown","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"New Zealand","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 November 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21 November 2019","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":"adhocnets2019a","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/adhocnets.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}