{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T09:11:01Z","timestamp":1775034661277,"version":"3.50.1"},"reference-count":45,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100000266","name":"Engineering and Physical Sciences Research Council United Kingdom (EPSRC), Impact Acceleration Accounts (IAA)","doi-asserted-by":"publisher","award":["EP\/X525856\/1"],"award-info":[{"award-number":["EP\/X525856\/1"]}],"id":[{"id":"10.13039\/501100000266","id-type":"DOI","asserted-by":"publisher"}]},{"name":"EPSRC Communications Hub for Empowering Distributed ClouD Computing Applications and Research","award":["EP\/Y037421\/1"],"award-info":[{"award-number":["EP\/Y037421\/1"]}]},{"name":"EPSRC Communications Hub for Empowering Distributed ClouD Computing Applications and Research","award":["EP\/X040518\/1"],"award-info":[{"award-number":["EP\/X040518\/1"]}]},{"name":"Department of Science, Innovation and Technology, U.K.","award":["Yorkshire Open-RAN (YORAN) TS\/X013758\/1"],"award-info":[{"award-number":["Yorkshire Open-RAN (YORAN) TS\/X013758\/1"]}]},{"name":"Department of Science, Innovation and Technology, U.K.","award":["RIC Enabled (CF-)mMIMO for HDD (REACH) TS\/Y008952\/1"],"award-info":[{"award-number":["RIC Enabled (CF-)mMIMO for HDD (REACH) TS\/Y008952\/1"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2026]]},"DOI":"10.1109\/access.2026.3671248","type":"journal-article","created":{"date-parts":[[2026,3,9]],"date-time":"2026-03-09T19:59:26Z","timestamp":1773086366000},"page":"46541-46556","source":"Crossref","is-referenced-by-count":0,"title":["Unlocking Efficient Connectivity: Advanced AI-Driven Planning for Multi-Hop IAB Networks"],"prefix":"10.1109","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-0076-0108","authenticated-orcid":false,"given":"Jie","family":"Zhang","sequence":"first","affiliation":[{"name":"School of Physics, Engineering and Technology, University of York, York, U.K."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1141-9360","authenticated-orcid":false,"given":"Swarna Bindu","family":"Chetty","sequence":"additional","affiliation":[{"name":"School of Physics, Engineering and Technology, University of York, York, U.K."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0714-2581","authenticated-orcid":false,"given":"Paul Daniel","family":"Mitchell","sequence":"additional","affiliation":[{"name":"School of Physics, Engineering and Technology, University of York, York, U.K."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7943-9977","authenticated-orcid":false,"given":"Mostafa Rahmani","family":"Ghourtani","sequence":"additional","affiliation":[{"name":"School of Physics, Engineering and Technology, University of York, York, U.K."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3284-5086","authenticated-orcid":false,"given":"Mohammad","family":"Shojafar","sequence":"additional","affiliation":[{"name":"6GIC, Institute for Communication Systems (ICS), University of Surrey, Guildford, U.K."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5508-8757","authenticated-orcid":false,"given":"Hamed","family":"Ahmadi","sequence":"additional","affiliation":[{"name":"School of Physics, Engineering and Technology, University of York, York, U.K."}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","first-page":"1234","article-title":"Optimal placement for wireless mesh networks","volume-title":"Proc. IEEE Int. Conf. Commun. (ICC)","author":"Cheng"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2011.100411.100541"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/BigData62323.2024.10825998"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9781139043816"},{"key":"ref5","volume-title":"Study on Channel Model for Frequencies From 0.5 to 100 GHz","year":"2019"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2022.3164751"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/LWC.2021.3121076"},{"issue":"12","key":"ref8","first-page":"114","article-title":"Terragraph: Multi-gigabit 60 GHz wireless networks","volume":"56","author":"Gowda","year":"2018","journal-title":"IEEE Commun. Mag."},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/LWC.2024.3419776"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1038\/nature14236"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.adhoc.2024.103656"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2023.3344519"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2023.105999"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.3390\/info15010019"},{"key":"ref15","first-page":"1633","article-title":"Transfer learning for reinforcement-learning domains: A survey","volume":"10","author":"Taylor","year":"2009","journal-title":"J. Mach. Learn. Res."},{"key":"ref16","article-title":"Progressive neural networks","author":"Rusu","year":"2016","journal-title":"arXiv:1606.04671"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/access.2023.3348513"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/MCOMSTD.2025.3575488"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2024.3412758"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2023.3293171"},{"key":"ref21","article-title":"Continuous control with deep reinforcement learning","author":"Lillicrap","year":"2015","journal-title":"arXiv:1509.02971"},{"key":"ref22","first-page":"1587","article-title":"Addressing function approximation error in actor-critic methods","volume-title":"Proc. 35th Int. Conf. Mach. Learn. (ICML)","author":"Fujimoto"},{"key":"ref23","first-page":"1861","article-title":"Soft actor-critic: Off-policy maximum-entropy deep reinforcement learning with a stochastic actor","volume-title":"Proc. ICML","author":"Haarnoja"},{"key":"ref24","article-title":"Multi-agent reinforcement learning for network routing in integrated access backhaul networks","author":"Yamin","year":"2023","journal-title":"arXiv:2305.16170"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2022.3220981"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/WINCOM62286.2024.10657767"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.3044597"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TCCN.2022.3204572"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOMWKSHPS65812.2025.11152919"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2023.3243519"},{"key":"ref31","article-title":"Deep reinforcement learning based placement for integrated access backhauling in UAV-assisted wireless networks","author":"Wang","year":"2023","journal-title":"arXiv:2312.14247"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/tnet.2024.3396214"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.3390\/rs15225284"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.3390\/s21248239"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/PIMRC62392.2025.11274644"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/EuCNC\/6GSummit60053.2024.10597044"},{"key":"ref37","volume-title":"Specific Attenuation Model for Rain for Use in Prediction Methods","year":"2005"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/MAP.2015.2401796"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2014.2364267"},{"key":"ref40","volume-title":"5G Link Budget\u2014Best Partner for Innovation","year":"2023"},{"key":"ref41","article-title":"Categorical reparameterization with Gumbel-Softmax","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Jang"},{"key":"ref42","article-title":"Soft actor-critic for discrete action settings","author":"Christodoulou","year":"2019","journal-title":"arXiv:1910.07207"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/WCNC61545.2025.10978140"},{"key":"ref44","volume-title":"Reinforcement Learning and Optimal Control","author":"Bertsekas","year":"2019"},{"key":"ref45","first-page":"1861","article-title":"Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor","volume-title":"Proc. 35th Int. Conf. Mach. Learn. (ICML)","author":"Haarnoja"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/11323511\/11426753.pdf?arnumber=11426753","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T06:07:03Z","timestamp":1775023623000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11426753\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"references-count":45,"URL":"https:\/\/doi.org\/10.1109\/access.2026.3671248","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]}}}