{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,9]],"date-time":"2026-04-09T06:48:54Z","timestamp":1775717334845,"version":"3.50.1"},"reference-count":56,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"6","license":[{"start":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T00:00:00Z","timestamp":1654041600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T00:00:00Z","timestamp":1654041600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T00:00:00Z","timestamp":1654041600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Veh. Technol."],"published-print":{"date-parts":[[2022,6]]},"DOI":"10.1109\/tvt.2022.3160446","type":"journal-article","created":{"date-parts":[[2022,3,23]],"date-time":"2022-03-23T19:31:45Z","timestamp":1648063905000},"page":"6636-6646","source":"Crossref","is-referenced-by-count":7,"title":["A Deep Q-Network Approach to Optimize Spatial Reuse in WiFi Networks"],"prefix":"10.1109","volume":"71","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6556-346X","authenticated-orcid":false,"given":"Yiwei","family":"Huang","sequence":"first","affiliation":[{"name":"School of Electrical, Computer and Telecommunications Engineering, University of Wollongong, Wollongong, NSW, Australia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1547-9272","authenticated-orcid":false,"given":"Kwan-Wu","family":"Chin","sequence":"additional","affiliation":[{"name":"School of Electrical, Computer and Telecommunications Engineering, University of Wollongong, Wollongong, NSW, Australia"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.2010.5394032"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2018.2795381"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2016.2554098"},{"key":"ref4","article-title":"Thezettabyte era: Trends and analysis","year":"2019"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/SURV.2009.090306"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/PROC.1987.13711"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/IEEESTD.2016.7786995"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICT.2014.6845128"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICC.2004.1313303"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/MAHSS.2005.1542851"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/WCNC.2015.7127616"},{"issue":"doc. IEEE 802.11-13\/1012r4","key":"ref12","article-title":"Dynamicsensitivity control-v2","author":"Smith","year":"2019"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/JSYST.2018.2828318"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICC.2016.7511455"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/WiMOB.2015.7348052"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/2988287.2989138"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/GLOCOM.2009.5425234"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CompComm.2017.8322588"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICCCN.2014.6911878"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/INFCOM.2007.279"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/WCNC.2007.432"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2008.060953"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1155\/2017\/7653181"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/INM.2011.5990553"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/GLOCOM.2010.5683231"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2020.3006218"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.3390\/s20102789"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/PIMRC.2017.8292321"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2017.2709309"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2937438"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2021.3096750"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/GLOCOM.2016.7842209"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2018.2890219"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2021.3049130"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-15-9343-7_24"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/GLOCOM.2012.6503398"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-019-04416-1"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/VTC2020-Fall49728.2020.9348462"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TCCN.2019.2956133"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1038\/nature14236"},{"key":"ref41","article-title":"802.11acwireless throughput testing and validation guide","author":"Vitosinschi","year":"2019"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2019.2916583"},{"key":"ref43","volume-title":"Dynamic Programming and Markov Processes","author":"Howard","year":"2019"},{"issue":"3","key":"ref44","doi-asserted-by":"crossref","first-page":"279","DOI":"10.1007\/BF00992698","article-title":"Q-learning","volume":"8","author":"Watkins","year":"1992","journal-title":"Mach. Learn."},{"key":"ref45","article-title":"Reinforcementlearning for robots using neural networks","author":"Lin","year":"1992"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/B978-1-55860-307-3.50049-6"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/IEEESTD.2010.5514475"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v30i1.10295"},{"key":"ref49","first-page":"1995","article-title":"Dueling network architectures for deep reinforcement learning","volume-title":"Proc. 33rd Int. Conf. Mach. Learn.","author":"Wang","year":"2016"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/PIMRC.2016.7794832"},{"key":"ref51","article-title":"Log distance path loss or log normal shadowing model","author":"Viswanathan","year":"2019"},{"key":"ref52","article-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2019"},{"key":"ref53","article-title":"Tensorflow: Large-scale machine learning on heterogeneous distributed systems","author":"Abadi","year":"2019"},{"key":"ref54","article-title":"Keras","author":"Chollet","year":"2019"},{"key":"ref55","first-page":"157","volume-title":"Introduction to Neural Networks With Java","author":"Heaton","year":"2008"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCC.2007.913919"}],"container-title":["IEEE Transactions on Vehicular Technology"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/25\/9805757\/09740466.pdf?arnumber=9740466","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,18]],"date-time":"2024-01-18T00:32:33Z","timestamp":1705537953000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9740466\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,6]]},"references-count":56,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.1109\/tvt.2022.3160446","relation":{},"ISSN":["0018-9545","1939-9359"],"issn-type":[{"value":"0018-9545","type":"print"},{"value":"1939-9359","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,6]]}}}