{"id":"https://openalex.org/W4308273697","doi":"https://doi.org/10.1109/seconworkshops56311.2022.9926399","title":"Optimal Resource Allocation for Reconfigurable Intelligent Surface Assisted Dynamic Wireless Network via Online Reinforcement Learning","display_name":"Optimal Resource Allocation for Reconfigurable Intelligent Surface Assisted Dynamic Wireless Network via Online Reinforcement Learning","publication_year":2022,"publication_date":"2022-09-23","ids":{"openalex":"https://openalex.org/W4308273697","doi":"https://doi.org/10.1109/seconworkshops56311.2022.9926399"},"language":"en","primary_location":{"id":"doi:10.1109/seconworkshops56311.2022.9926399","is_oa":false,"landing_page_url":"https://doi.org/10.1109/seconworkshops56311.2022.9926399","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Sensing, Communication, and Networking (SECON Workshops)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100777149","display_name":"Yuzhu Zhang","orcid":"https://orcid.org/0009-0009-7087-2342"},"institutions":[{"id":"https://openalex.org/I134113660","display_name":"University of Nevada, Reno","ror":"https://ror.org/01keh0577","country_code":"US","type":"education","lineage":["https://openalex.org/I134113660"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yuzhu Zhang","raw_affiliation_strings":["University of Nevada, Reno,Department of Electrical and Biomedical Engineering,Reno,US","Department of Electrical and Biomedical Engineering, University of Nevada, Reno, Reno, US"],"affiliations":[{"raw_affiliation_string":"University of Nevada, Reno,Department of Electrical and Biomedical Engineering,Reno,US","institution_ids":["https://openalex.org/I134113660"]},{"raw_affiliation_string":"Department of Electrical and Biomedical Engineering, University of Nevada, Reno, Reno, US","institution_ids":["https://openalex.org/I134113660"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100717012","display_name":"Hao Xu","orcid":"https://orcid.org/0000-0003-4130-7925"},"institutions":[{"id":"https://openalex.org/I134113660","display_name":"University of Nevada, Reno","ror":"https://ror.org/01keh0577","country_code":"US","type":"education","lineage":["https://openalex.org/I134113660"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hao Xu","raw_affiliation_strings":["University of Nevada, Reno,Department of Electrical and Biomedical Engineering,Reno,US","Department of Electrical and Biomedical Engineering, University of Nevada, Reno, Reno, US"],"affiliations":[{"raw_affiliation_string":"University of Nevada, Reno,Department of Electrical and Biomedical Engineering,Reno,US","institution_ids":["https://openalex.org/I134113660"]},{"raw_affiliation_string":"Department of Electrical and Biomedical Engineering, University of Nevada, Reno, Reno, US","institution_ids":["https://openalex.org/I134113660"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100777149"],"corresponding_institution_ids":["https://openalex.org/I134113660"],"apc_list":null,"apc_paid":null,"fwci":0.3659,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.5762605,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"13","last_page":"18"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11458","display_name":"Advanced Wireless Communication Technologies","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11458","display_name":"Advanced Wireless Communication Technologies","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11133","display_name":"UAV Applications and Optimization","score":0.987500011920929,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9858999848365784,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.848163902759552},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7617835998535156},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.7215932011604309},{"id":"https://openalex.org/keywords/resource-allocation","display_name":"Resource allocation","score":0.6788502931594849},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.6295936107635498},{"id":"https://openalex.org/keywords/base-station","display_name":"Base station","score":0.5648632645606995},{"id":"https://openalex.org/keywords/q-learning","display_name":"Q-learning","score":0.4935702085494995},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.45691072940826416},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.4447515308856964},{"id":"https://openalex.org/keywords/resource-management","display_name":"Resource management (computing)","score":0.41115057468414307},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17168888449668884},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1426541805267334}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.848163902759552},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7617835998535156},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.7215932011604309},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.6788502931594849},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.6295936107635498},{"id":"https://openalex.org/C68649174","wikidata":"https://www.wikidata.org/wiki/Q1379116","display_name":"Base station","level":2,"score":0.5648632645606995},{"id":"https://openalex.org/C188116033","wikidata":"https://www.wikidata.org/wiki/Q2664563","display_name":"Q-learning","level":3,"score":0.4935702085494995},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.45691072940826416},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.4447515308856964},{"id":"https://openalex.org/C2780609101","wikidata":"https://www.wikidata.org/wiki/Q17156588","display_name":"Resource management (computing)","level":2,"score":0.41115057468414307},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17168888449668884},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1426541805267334}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/seconworkshops56311.2022.9926399","is_oa":false,"landing_page_url":"https://doi.org/10.1109/seconworkshops56311.2022.9926399","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Sensing, Communication, and Networking (SECON Workshops)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1980516134","https://openalex.org/W1982029046","https://openalex.org/W2045094735","https://openalex.org/W2073681605","https://openalex.org/W2101984214","https://openalex.org/W2111034649","https://openalex.org/W2891191577","https://openalex.org/W2950077417","https://openalex.org/W2963121727","https://openalex.org/W2978330116","https://openalex.org/W3021587675","https://openalex.org/W3034281970","https://openalex.org/W3034533409","https://openalex.org/W3036886449","https://openalex.org/W3045780692","https://openalex.org/W3216609622"],"related_works":["https://openalex.org/W4289712363","https://openalex.org/W3094198577","https://openalex.org/W1989463180","https://openalex.org/W3091823410","https://openalex.org/W3091825588","https://openalex.org/W2963627422","https://openalex.org/W2969525674","https://openalex.org/W2896194244","https://openalex.org/W4206444456","https://openalex.org/W1969124619"],"abstract_inverted_index":{"This":[0],"paper":[1],"investigates":[2],"the":[3,31,65,99,116,141,167,182,185],"problem":[4,120],"of":[5,30,130,184],"optimal":[6,88,117,128,168],"resource":[7,52,89,118,169],"allocation":[8,53,90,119,170],"for":[9,35,59],"reconfigurable":[10],"intelligent":[11],"surface":[12],"(RIS)":[13],"assisted":[14],"dynamic":[15,37,105],"wireless":[16,21,38,61,66,101,106,142],"networks":[17,62,163],"with":[18,104,161],"uncertain":[19,77],"time-varying":[20,145],"channels.":[22],"Recently,":[23],"RIS":[24,135],"has":[25,92,108,157],"been":[26,93,109,158,178],"considered":[27],"as":[28,111,124],"one":[29],"most":[32],"promising":[33],"techniques":[34],"enhancing":[36],"network":[39,103],"quality,":[40],"e.g.":[41],"maximizing":[42],"spectrum":[43],"efficiency,":[44],"etc.,":[45],"without":[46],"increasing":[47],"power":[48],"consumption.":[49],"However,":[50],"conventional":[51],"algorithms":[54],"cannot":[55],"be":[56,122],"directly":[57],"utilized":[58],"RIS-assisted":[60,100],"especially":[63],"when":[64],"channels":[67,107],"among":[68],"base":[69],"station":[70],"(BS),":[71],"RIS,":[72],"and":[73,78,134,146],"users":[74],"(UEs)":[75],"are":[76],"time":[79],"varying.":[80],"Hence,":[81],"a":[82,112,125,148],"novel":[83,149],"online":[84,150],"reinforcement":[85,151],"learning":[86,152],"based":[87],"algorithm":[91],"developed":[94,159,186],"in":[95,172],"this":[96],"paper.":[97],"Firstly,":[98],"communication":[102],"represented":[110],"state-space":[113],"model.":[114],"Then,":[115],"can":[121],"formulated":[123],"finite-horizon":[126],"joint":[127],"control":[129],"users'":[131],"transmit":[132],"powers":[133],"phase":[136],"shifts":[137],"problem.":[138],"Next,":[139],"since":[140],"channel":[143],"is":[144],"uncertain,":[147],"technique,":[153],"i.e.":[154],"Actor-Critic":[155],"design,":[156],"along":[160],"neural":[162],"(NN)":[164],"to":[165,180],"learn":[166],"policies":[171],"real-time.":[173],"Eventually,":[174],"numerical":[175],"simulations":[176],"have":[177],"provided":[179],"demonstrate":[181],"effectiveness":[183],"scheme.":[187]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}