{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,1,11]],"date-time":"2024-01-11T00:19:28Z","timestamp":1704932368672},"reference-count":20,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEICE Trans. Commun."],"published-print":{"date-parts":[[2024,1,1]]},"DOI":"10.1587\/transcom.2023ebp3043","type":"journal-article","created":{"date-parts":[[2023,10,5]],"date-time":"2023-10-05T22:54:32Z","timestamp":1696546472000},"page":"173-184","source":"Crossref","is-referenced-by-count":0,"title":["Resource Allocation for Mobile Edge Computing System Considering User Mobility with Deep Reinforcement Learning"],"prefix":"10.23919","volume":"E107.B","author":[{"given":"Kairi","family":"TOKUDA","sequence":"first","affiliation":[{"name":"Graduate School of Informatics, Kyoto University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Takehiro","family":"SATO","sequence":"additional","affiliation":[{"name":"Graduate School of Informatics, Kyoto University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Eiji","family":"OKI","sequence":"additional","affiliation":[{"name":"Graduate School of Informatics, Kyoto University"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"1","doi-asserted-by":"crossref","unstructured":"[1] Y. Mao, J. Zhang, S. Song, and K.B. Letaief, \u201cPower-delay tradeoff in multi-user mobile-edge computing systems,\u201d 2016 IEEE global communications conference (GLOBECOM), pp.1-6, IEEE, 2016. 10.1109\/glocom.2016.7842160","DOI":"10.1109\/GLOCOM.2016.7842160"},{"key":"2","doi-asserted-by":"publisher","unstructured":"[2] Y. Mao, C. You, J. Zhang, K. Huang, and K.B. Letaief, \u201cA survey on mobile edge computing: The communication perspective,\u201d IEEE Commun. Surveys Tutws., vol.19, no.4, pp.2322-2358, 2017. 10.1109\/comst.2017.2745201","DOI":"10.1109\/COMST.2017.2745201"},{"key":"3","doi-asserted-by":"crossref","unstructured":"[3] Y. Yang, Y. Hu, and M.C. Gursoy, \u201cReliability-optimal designs in MEC networks with finite blocklength codes and outdated CSI,\u201d 2021 17th International Symposium on Wireless Communication Systems (ISWCS), pp.1-6, IEEE, 2021. 10.1109\/iswcs49558.2021.9562237","DOI":"10.1109\/ISWCS49558.2021.9562237"},{"key":"4","doi-asserted-by":"publisher","unstructured":"[4] Y. Polyanskiy, H.V. Poor, and S. Verd\u00fa, \u201cChannel coding rate in the finite blocklength regime,\u201d IEEE Trans. Inf. Theory, vol.56, no.5, pp.2307-2359, 2010. 10.1109\/tit.2010.2043769","DOI":"10.1109\/TIT.2010.2043769"},{"key":"5","doi-asserted-by":"publisher","unstructured":"[5] Y. Hu, M.C. Gursoy, and A. Schmeink, \u201cRelaying-enabled ultra-reliable low-latency communications in 5G,\u201d IEEE Netw., vol.32, no.2, pp.62-68, 2018. 10.1109\/mnet.2018.1700252","DOI":"10.1109\/MNET.2018.1700252"},{"key":"6","doi-asserted-by":"crossref","unstructured":"[6] C.F. Liu, M. Bennis, and H.V. Poor, \u201cLatency and reliability-aware task offloading and resource allocation for mobile edge computing,\u201d 2017 IEEE Globecom Workshops (GC Wkshps), pp.1-7, IEEE, 2017. 10.1109\/glocomw.2017.8269175","DOI":"10.1109\/GLOCOMW.2017.8269175"},{"key":"7","doi-asserted-by":"publisher","unstructured":"[7] Z. Ning, X. Wang, J.J. Rodrigues, and F. Xia, \u201cJoint computation offloading, power allocation, and channel assignment for 5G-enabled traffic management systems,\u201d IEEE Trans. Ind. Inform., vol.15, no.5, pp.3058-3067, 2019. 10.1109\/tii.2019.2892767","DOI":"10.1109\/TII.2019.2892767"},{"key":"8","doi-asserted-by":"crossref","unstructured":"[8] G. Tan, H. Zhang, and S. Zhou, \u201cResource allocation in MEC-enabled vehicular networks: A deep reinforcement learning approach,\u201d IEEE INFOCOM 2020-IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), pp.406-411, IEEE, 2020. 10.1109\/infocomwkshps50562.2020.9162980","DOI":"10.1109\/INFOCOMWKSHPS50562.2020.9162980"},{"key":"9","doi-asserted-by":"publisher","unstructured":"[9] H. Lu, X. He, M. Du, X. Ruan, Y. Sun, and K. Wang, \u201cEdge QoE: Computation offloading with deep reinforcement learning for internet of things,\u201d IEEE Internet Things J., vol.7, no.10, pp.9255-9265, 2020. 10.1109\/jiot.2020.2981557","DOI":"10.1109\/JIOT.2020.2981557"},{"key":"10","doi-asserted-by":"publisher","unstructured":"[10] J. Chen, H. Xing, Z. Xiao, L. Xu, and T. Tao, \u201cA DRL agent for jointly optimizing computation offloading and resource allocation in MEC,\u201d IEEE Internet Things J., vol.8, no.24, pp.17508-17524, 2021. 10.1109\/jiot.2021.3081694","DOI":"10.1109\/JIOT.2021.3081694"},{"key":"11","doi-asserted-by":"publisher","unstructured":"[11] K. Guo, R. Gao, W. Xia, and T.Q. Quek, \u201cOnline learning based computation offloading in MEC systems with communication and computation dynamics,\u201d IEEE Trans. Commun., vol.69, no.2, pp.1147-1162, 2020. 10.1109\/tcomm.2020.3038875","DOI":"10.1109\/TCOMM.2020.3038875"},{"key":"12","doi-asserted-by":"crossref","unstructured":"[12] T. Yang, Y. Hu, M.C. Gursoy, A. Schmeink, and R. Mathar, \u201cDeep reinforcement learning based resource allocation in low latency edge computing networks,\u201d 2018 15th International Symposium on Wireless Communication Systems (ISWCS), pp.1-5, IEEE, 2018. 10.1109\/iswcs.2018.8491089","DOI":"10.1109\/ISWCS.2018.8491089"},{"key":"13","doi-asserted-by":"publisher","unstructured":"[13] K. Tokuda, T. Sato, and E. Oki, \u201cNetwork slice reconfiguration with deep reinforcement learning under variable number of service function chains,\u201d Computer Networks, vol.224, p.109636, 2023. 10.1016\/j.comnet.2023.109636","DOI":"10.1016\/j.comnet.2023.109636"},{"key":"14","doi-asserted-by":"publisher","unstructured":"[14] A. Tavakoli, F. Pardo, and P. Kormushev, \u201cAction branching architectures for deep reinforcement learning,\u201d Proc. AAAI Conference on Artificial Intelligence, vol.32, no.1, pp.4131-4138, 2018. 10.1609\/aaai.v32i1.11798","DOI":"10.1609\/aaai.v32i1.11798"},{"key":"15","unstructured":"[15] M. Neely, Stochastic Network Optimization with Application to Communication and Queueing Systems, Morgan &amp; Claypool Publishers, 2010. 10.1007\/978-3-031-79995-2"},{"key":"16","doi-asserted-by":"publisher","unstructured":"[16] M. Ozmen and M.C. Gursoy, \u201cWireless throughput and energy efficiency with random arrivals and statistical queuing constraints,\u201d IEEE Trans. Inf. Theory, vol.62, no.3, pp.1375-1395, 2015. 10.1109\/tit.2015.2510027","DOI":"10.1109\/TIT.2015.2510027"},{"key":"17","doi-asserted-by":"publisher","unstructured":"[17] Y. Hu, A. Schmeink, and J. Gross, \u201cOptimal scheduling of reliability-constrained relaying system under outdated CSI in the finite blocklength regime,\u201d IEEE Trans. Veh. Technol., vol.67, no.7, pp.6146-6155, 2018. 10.1109\/tvt.2018.2811943","DOI":"10.1109\/TVT.2018.2811943"},{"key":"18","unstructured":"[18] R.S. Sutton and A.G. Barto, Reinforcement Learning: An Introduction, MIT Press, 2018."},{"key":"19","unstructured":"[19] T. Schaul, J. Quan, I. Antonoglou, and D. Silver, \u201cPrioritized experience replay,\u201d arXiv preprint arXiv:1511.05952, 2015."},{"key":"20","unstructured":"[20] D.P. Kingma and J. Ba, \u201cAdam: A method for stochastic optimization,\u201d arXiv preprint arXiv:1412.6980, 2014."}],"container-title":["IEICE Transactions on Communications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transcom\/E107.B\/1\/E107.B_2023EBP3043\/_pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,10]],"date-time":"2024-01-10T15:02:34Z","timestamp":1704898954000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transcom\/E107.B\/1\/E107.B_2023EBP3043\/_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,1,1]]},"references-count":20,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2024]]}},"URL":"https:\/\/doi.org\/10.1587\/transcom.2023ebp3043","relation":{},"ISSN":["0916-8516","1745-1345"],"issn-type":[{"value":"0916-8516","type":"print"},{"value":"1745-1345","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,1,1]]},"article-number":"2023EBP3043"}}