{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,15]],"date-time":"2026-04-15T17:51:30Z","timestamp":1776275490991,"version":"3.50.1"},"reference-count":38,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"9","license":[{"start":{"date-parts":[[2023,9,1]],"date-time":"2023-09-01T00:00:00Z","timestamp":1693526400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,9,1]],"date-time":"2023-09-01T00:00:00Z","timestamp":1693526400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,9,1]],"date-time":"2023-09-01T00:00:00Z","timestamp":1693526400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2018YFB1802302"],"award-info":[{"award-number":["2018YFB1802302"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61971376"],"award-info":[{"award-number":["61971376"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U22A2004"],"award-info":[{"award-number":["U22A2004"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61831004"],"award-info":[{"award-number":["61831004"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Commun."],"published-print":{"date-parts":[[2023,9]]},"DOI":"10.1109\/tcomm.2023.3292257","type":"journal-article","created":{"date-parts":[[2023,7,4]],"date-time":"2023-07-04T17:31:04Z","timestamp":1688491864000},"page":"5259-5273","source":"Crossref","is-referenced-by-count":13,"title":["Meta-Gating Framework for Fast and Continuous Resource Optimization in Dynamic Wireless Environments"],"prefix":"10.1109","volume":"71","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1132-9058","authenticated-orcid":false,"given":"Qiushuo","family":"Hou","sequence":"first","affiliation":[{"name":"College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7686-0507","authenticated-orcid":false,"given":"Mengyuan","family":"Lee","sequence":"additional","affiliation":[{"name":"College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1354-2557","authenticated-orcid":false,"given":"Guanding","family":"Yu","sequence":"additional","affiliation":[{"name":"College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9418-1700","authenticated-orcid":false,"given":"Yunlong","family":"Cai","sequence":"additional","affiliation":[{"name":"College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","article-title":"Meta-learning in neural networks: A survey","author":"hospedales","year":"2020","journal-title":"arXiv 2004 05439"},{"key":"ref35","first-page":"569","article-title":"Evolutionary advantages of neuromodulated plasticity in dynamic, reward-based scenarios","author":"soltoggio","year":"2008","journal-title":"Proc 11th Int Conf Artif Life (Alife XI)"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2019.2947591"},{"key":"ref34","first-page":"23","article-title":"Task similarity aware meta learning: Theory-inspired improvement on MAML","author":"zhou","year":"2021","journal-title":"Proc Conf Uncertainty Artif Intell"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2009.191"},{"key":"ref37","first-page":"1","article-title":"Efficient meta learning via minibatch proximal update","author":"zhou","year":"2019","journal-title":"Proc Conf Neural Inf Process Syst"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4615-5529-2_1"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2018.07.013"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICEngTechnol.2017.8308186"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2011.2147784"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.3035843"},{"key":"ref33","doi-asserted-by":"crossref","first-page":"2809","DOI":"10.1109\/TWC.2014.040214.131770","article-title":"Group sparse beamforming for green cloud-RAN","volume":"13","author":"shi","year":"2014","journal-title":"IEEE Trans Wireless Commun"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICC.2019.8761327"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2022.3155507"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2019.2957482"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/LCOMM.2022.3161712"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/S0079-7421(08)60536-8"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2019.01.012"},{"key":"ref38","first-page":"1","article-title":"Adaptive gradient-based meta-learning methods","author":"mikhail","year":"2019","journal-title":"Proc Conf Neural Inf Process Syst"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/6GSUMMIT49458.2020.9083856"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2022.3195352"},{"key":"ref24","first-page":"6467","article-title":"Gradient episodic memory for continual learning","author":"lopez-paz","year":"2017","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref23","first-page":"1126","article-title":"Model-agnostic meta-learning for fast adaptation of deep networks","author":"finn","year":"2017","journal-title":"Proc ICML"},{"key":"ref26","first-page":"1540","article-title":"Lifelong learning with non-I.I.D. Tasks","author":"pentina","year":"2015","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref25","first-page":"2990","article-title":"Continual learning with deep generative replay","author":"shin","year":"2017","journal-title":"Proc NIPS"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2022.3143372"},{"key":"ref22","article-title":"Lifelong learning with dynamically expandable networks","author":"yoon","year":"2017","journal-title":"arXiv 1708 01547"},{"key":"ref21","article-title":"Progressive neural networks","author":"rusu","year":"2016","journal-title":"arXiv 1606 04671"},{"key":"ref28","first-page":"3987","article-title":"Continual learning through synaptic intelligence","author":"zenke","year":"2017","journal-title":"Proc ICML"},{"key":"ref27","first-page":"49","article-title":"Lifelong machine learning systems: Beyond learning algorithms","author":"silver","year":"2013","journal-title":"Proc AAAI Spring Symp"},{"key":"ref29","first-page":"1","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"Proc 3rd Int Conf Learn Represent (ICLR)"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2020.2988255"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/SPAWC.2019.8815526"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1611835114"},{"key":"ref4","article-title":"Task-oriented sensing, computation, and communication integration for multi-device edge AI","author":"wen","year":"2022","journal-title":"arXiv 2207 00969"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/LCOMM.2018.2825444"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2020.3036965"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.3040983"}],"container-title":["IEEE Transactions on Communications"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/26\/10252108\/10172335.pdf?arnumber=10172335","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,2]],"date-time":"2023-10-02T17:51:43Z","timestamp":1696269103000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10172335\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,9]]},"references-count":38,"journal-issue":{"issue":"9"},"URL":"https:\/\/doi.org\/10.1109\/tcomm.2023.3292257","relation":{},"ISSN":["0090-6778","1558-0857"],"issn-type":[{"value":"0090-6778","type":"print"},{"value":"1558-0857","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,9]]}}}