{"id":"https://openalex.org/W4408859235","doi":"https://doi.org/10.1109/tits.2025.3536172","title":"Fast Reinforcement Learning for Resource Optimization in Dynamic Vehicular Communications","display_name":"Fast Reinforcement Learning for Resource Optimization in Dynamic Vehicular Communications","publication_year":2025,"publication_date":"2025-03-26","ids":{"openalex":"https://openalex.org/W4408859235","doi":"https://doi.org/10.1109/tits.2025.3536172"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2025.3536172","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2025.3536172","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Transportation Systems","raw_type":"journal-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/A5102607696","display_name":"Shuwen Jiang","orcid":"https://orcid.org/0009-0005-3264-0154"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shuwen Jiang","raw_affiliation_strings":["School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100365151","display_name":"Bin Li","orcid":"https://orcid.org/0000-0002-1998-819X"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Li","raw_affiliation_strings":["School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101832765","display_name":"Chenglin Zhao","orcid":"https://orcid.org/0000-0002-4270-5717"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenglin Zhao","raw_affiliation_strings":["School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102607696"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":0.6973,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.68973463,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"26","issue":"5","first_page":"6304","last_page":"6320"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9939000010490417,"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9939000010490417,"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/T10579","display_name":"Cognitive Radio Networks and Spectrum Sensing","score":0.9613000154495239,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.9470000267028809,"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":0.8036988377571106},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6420409083366394},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.4309432804584503},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3719048500061035},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30712032318115234},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.26008301973342896}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8036988377571106},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6420409083366394},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.4309432804584503},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3719048500061035},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30712032318115234},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.26008301973342896}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2025.3536172","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2025.3536172","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1240071043","display_name":null,"funder_award_id":"L234025","funder_id":"https://openalex.org/F4320334977","funder_display_name":"Beijing Municipal Natural Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320334977","display_name":"Beijing Municipal Natural Science Foundation","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1639877187","https://openalex.org/W1994616650","https://openalex.org/W1997600725","https://openalex.org/W1998269045","https://openalex.org/W2004026774","https://openalex.org/W2102736780","https://openalex.org/W2145339207","https://openalex.org/W2146290970","https://openalex.org/W2165131254","https://openalex.org/W2210177522","https://openalex.org/W2460379932","https://openalex.org/W2514619461","https://openalex.org/W2522693205","https://openalex.org/W2607844539","https://openalex.org/W2666874989","https://openalex.org/W2761862361","https://openalex.org/W2883185792","https://openalex.org/W2967152818","https://openalex.org/W2982493294","https://openalex.org/W2989743749","https://openalex.org/W3008052774","https://openalex.org/W3032887362","https://openalex.org/W3035618061","https://openalex.org/W3112410551","https://openalex.org/W3138547151","https://openalex.org/W3185834621","https://openalex.org/W4225335610","https://openalex.org/W4296480848","https://openalex.org/W4366692289","https://openalex.org/W4391093784","https://openalex.org/W4392397348","https://openalex.org/W6683682940","https://openalex.org/W6734940851"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4306904969","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2138720691","https://openalex.org/W2376932109"],"abstract_inverted_index":{"In":[0,76],"recent":[1],"years,":[2],"vehicular":[3,28,93,248],"communications":[4,29],"have":[5,220],"attached":[6],"great":[7,222,243],"interests":[8],"in":[9,27,37,41,126,147],"both":[10],"academy":[11],"and":[12,20,99],"industry":[13],"for":[14,54,87],"its":[15],"potential":[16,223],"of":[17,92,112,159,177,189,232],"promoting":[18],"safety":[19],"autonomous":[21],"driving.":[22],"Unlike":[23],"classical":[24,150],"communication":[25],"scenarios,":[26],"the":[30,46,70,88,96,100,127,133,155,165,175,185,190,202,206,221,230,242,246],"optimal":[31],"resource":[32,60,90],"allocation":[33],"must":[34],"be":[35,65,106],"accomplished":[36],"a":[38,51,81,120,139,160],"real-time":[39,89],"manner,":[40],"order":[42],"to":[43,105,149,224,245],"maximally":[44],"reduce":[45,201],"response":[47,207],"delay.":[48],"This":[49,168],"presents":[50],"substantial":[52],"challenge":[53],"current":[55],"machine":[56],"learning":[57,84,180],"based":[58],"intelligent":[59],"optimization":[61,91,227],"methods":[62],"which":[63,130,239],"may":[64],"sample":[66,121],"inefficient,":[67],"especially":[68],"when":[69],"problem":[71],"space":[72],"becomes":[73],"extremely":[74],"huge.":[75],"this":[77],"study,":[78],"we":[79],"develop":[80],"fast":[82,216],"reinforcement":[83],"(RL)":[85],"framework":[86],"communications,":[94],"whereby":[95,229],"transmitting":[97],"power":[98],"accessing":[101],"frequency":[102],"channels":[103],"need":[104],"jointly":[107],"allocated.":[108],"The":[109],"main":[110],"concept":[111],"our":[113,144,197,215],"new":[114,198],"method":[115,199,218],"is":[116,236],"that":[117],"it":[118],"incorporates":[119],"efficient":[122],"structured":[123],"exploration":[124],"mechanism":[125],"action":[128],"space,":[129],"firstly":[131],"ignores":[132],"local":[134],"exploitation":[135],"but":[136],"focuses":[137],"on":[138,184],"randomized":[140],"global":[141,157],"exploration.":[142],"Thus,":[143],"exploration-first":[145],"method,":[146],"contrast":[148],"exploitation-first":[151],"RL,":[152],"can":[153],"reconstruct":[154],"coarse-grained":[156],"landscape":[158],"huge":[161],"Q-table":[162],"from":[163],"only":[164],"few":[166],"samples.":[167],"learned":[169],"prior":[170],"knowledge":[171],"would":[172,200,219],"remarkably":[173],"accelerate":[174],"convergence":[176],"subsequent":[178],"incremental":[179],"process,":[181],"by":[182,194,209],"concentrating":[183],"identified":[186],"attentional":[187],"subspace":[188],"Q-table.":[191],"As":[192,213],"demonstrated":[193],"numerical":[195],"results,":[196],"time":[203,237],"complexity":[204],"or":[205],"delay":[208],"around":[210],"10":[211],"folds.":[212],"such,":[214],"RL":[217],"such":[225],"challenging":[226],"problems":[228],"acquisition":[231],"massive":[233],"training":[234],"samples":[235],"demanding,":[238],"hence":[240],"provides":[241],"promise":[244],"emerging":[247],"networks.":[249]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
