{"id":"https://openalex.org/W7147637607","doi":"https://doi.org/10.1109/iccbn67217.2025.11447800","title":"Energy-Efficient Resource Allocation for V2X Based on GNN and DRL","display_name":"Energy-Efficient Resource Allocation for V2X Based on GNN and DRL","publication_year":2025,"publication_date":"2025-11-27","ids":{"openalex":"https://openalex.org/W7147637607","doi":"https://doi.org/10.1109/iccbn67217.2025.11447800"},"language":null,"primary_location":{"id":"doi:10.1109/iccbn67217.2025.11447800","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccbn67217.2025.11447800","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 13th International Conference on Communications and Broadband Networking (ICCBN)","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/A5101819802","display_name":"He Zhao","orcid":"https://orcid.org/0000-0002-9414-363X"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanbin Zhao","raw_affiliation_strings":["School of Electronic Science and Engineering (School of Microelectronics), South China Normal University,Foshan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Science and Engineering (School of Microelectronics), South China Normal University,Foshan,China","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001186833","display_name":"ZHIWEI LI","orcid":null},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiwei Li","raw_affiliation_strings":["School of Electronic Science and Engineering (School of Microelectronics), South China Normal University,Foshan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Science and Engineering (School of Microelectronics), South China Normal University,Foshan,China","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132704982","display_name":"Zhaodong Ding","orcid":null},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaodong Ding","raw_affiliation_strings":["School of Electronic Science and Engineering (School of Microelectronics), South China Normal University,Foshan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Science and Engineering (School of Microelectronics), South China Normal University,Foshan,China","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046599843","display_name":"Peng Cao","orcid":"https://orcid.org/0000-0003-2039-9031"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Cao","raw_affiliation_strings":["School of Electronic Science and Engineering (School of Microelectronics), South China Normal University,Foshan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Science and Engineering (School of Microelectronics), South China Normal University,Foshan,China","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087928147","display_name":"Haixia Cui","orcid":"https://orcid.org/0000-0002-2621-8994"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haixia Cui","raw_affiliation_strings":["School of Electronic Science and Engineering (School of Microelectronics), South China Normal University,Foshan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Science and Engineering (School of Microelectronics), South China Normal University,Foshan,China","institution_ids":["https://openalex.org/I187400657"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.60729674,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"192","last_page":"196"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.8228999972343445,"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/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.8228999972343445,"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/T13553","display_name":"Age of Information Optimization","score":0.04800000041723251,"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/T12079","display_name":"IoT Networks and Protocols","score":0.01850000023841858,"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/resource-allocation","display_name":"Resource allocation","score":0.6301000118255615},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.572700023651123},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.5011000037193298},{"id":"https://openalex.org/keywords/resource-management","display_name":"Resource management (computing)","score":0.4708000123500824},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4530999958515167},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.4180999994277954},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.40389999747276306},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.3714999854564667}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7576000094413757},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.6301000118255615},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.572700023651123},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.5011000037193298},{"id":"https://openalex.org/C2780609101","wikidata":"https://www.wikidata.org/wiki/Q17156588","display_name":"Resource management (computing)","level":2,"score":0.4708000123500824},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46459999680519104},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4530999958515167},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.4180999994277954},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.40389999747276306},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.38040000200271606},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.3714999854564667},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.36719998717308044},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3433000147342682},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.32179999351501465},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.32109999656677246},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.29760000109672546},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.29179999232292175},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.289900004863739},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.28519999980926514},{"id":"https://openalex.org/C114237682","wikidata":"https://www.wikidata.org/wiki/Q5072483","display_name":"Channel allocation schemes","level":3,"score":0.2743000090122223},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.26649999618530273},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.2581000030040741},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.257099986076355},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.25679999589920044}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccbn67217.2025.11447800","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccbn67217.2025.11447800","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 13th International Conference on Communications and Broadband Networking (ICCBN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.5737614035606384}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2970834166","https://openalex.org/W3090677819","https://openalex.org/W3205077443","https://openalex.org/W4225439776","https://openalex.org/W4295308232","https://openalex.org/W4321194942","https://openalex.org/W4385819612","https://openalex.org/W4392903587","https://openalex.org/W4399451631","https://openalex.org/W4400277766","https://openalex.org/W4409724279","https://openalex.org/W4411911617","https://openalex.org/W4412742543"],"related_works":[],"abstract_inverted_index":{"The":[0],"high":[1],"mobility":[2],"of":[3,18,90,96],"vehicles":[4],"introduces":[5],"channel":[6],"uncertainty":[7],"in":[8],"Vehicle-to-Everything":[9],"(V2X)":[10],"communications,":[11],"while":[12],"limited":[13],"spectrum":[14],"resources":[15],"constrain":[16],"quality":[17],"service":[19],"(QoS).":[20],"To":[21,86],"tackle":[22],"these":[23],"challenges,":[24],"non-orthogonal":[25],"multiple":[26],"access":[27],"(NOMA)":[28],"is":[29,60],"employed.":[30],"In":[31],"this":[32],"paper,":[33],"we":[34,100],"design":[35],"a":[36,63,102],"resource":[37,79],"allocation":[38,80],"algorithm":[39,105],"for":[40,82],"roadside":[41],"units":[42],"(RSU":[43],"s)":[44],"by":[45],"integrating":[46],"graph":[47,64],"neural":[48],"networks":[49],"(GNN)":[50],"and":[51,93,119],"deep":[52],"reinforcement":[53],"learning":[54],"(DRL).":[55],"Each":[56],"infrastructure-to-vehicle":[57],"(I2V)":[58],"link":[59],"modeled":[61],"as":[62],"node,":[65],"with":[66,106],"multidimensional":[67],"features":[68],"extracted":[69],"via":[70],"iterative":[71],"GNN":[72],"training.":[73],"Deep":[74],"Q-network":[75],"(DQN)":[76],"determines":[77],"the":[78,88],"strategy":[81],"each":[83],"I2V":[84],"link.":[85],"address":[87],"complexity":[89],"high-dimensional":[91],"optimization":[92],"adverse":[94],"effects":[95],"large":[97],"action":[98,116],"spaces,":[99],"combine":[101],"low-complexity":[103],"heuristic":[104],"multi-agent":[107],"DRL.":[108],"Compared":[109],"to":[110],"existing":[111],"methods,":[112],"our":[113],"approach":[114],"reduces":[115],"space":[117],"dimensionality":[118],"achieves":[120],"better":[121],"training":[122],"performance.":[123]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-04-02T00:00:00"}