{"id":"https://openalex.org/W4299490876","doi":"https://doi.org/10.1109/icc45855.2022.9839283","title":"ADSA: A Multi-path Transmission Scheduling Algorithm based on Deep Reinforcement Learning in Vehicle Networks","display_name":"ADSA: A Multi-path Transmission Scheduling Algorithm based on Deep Reinforcement Learning in Vehicle Networks","publication_year":2022,"publication_date":"2022-05-16","ids":{"openalex":"https://openalex.org/W4299490876","doi":"https://doi.org/10.1109/icc45855.2022.9839283"},"language":"en","primary_location":{"id":"doi:10.1109/icc45855.2022.9839283","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc45855.2022.9839283","pdf_url":null,"source":{"id":"https://openalex.org/S4363607711","display_name":"ICC 2022 - IEEE International Conference on Communications","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2022 - IEEE International Conference on Communications","raw_type":"proceedings-article"},"type":"conference-paper","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/A5016400848","display_name":"Chenyang Yin","orcid":"https://orcid.org/0000-0003-4417-2368"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenyang Yin","raw_affiliation_strings":["Beijing Jiaotong University,School of Electronic and Information Engineering,Beijing,P. R. China,100044"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University,School of Electronic and Information Engineering,Beijing,P. R. China,100044","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049774186","display_name":"Ping Dong","orcid":"https://orcid.org/0000-0002-5842-7264"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ping Dong","raw_affiliation_strings":["Beijing Jiaotong University,School of Electronic and Information Engineering,Beijing,P. R. China,100044"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University,School of Electronic and Information Engineering,Beijing,P. R. China,100044","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060514022","display_name":"Xiaojiang Du","orcid":"https://orcid.org/0000-0003-4235-9671"},"institutions":[{"id":"https://openalex.org/I108468826","display_name":"Stevens Institute of Technology","ror":"https://ror.org/02z43xh36","country_code":"US","type":"education","lineage":["https://openalex.org/I108468826"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaojiang Du","raw_affiliation_strings":["Stevens Institute of Technology,Department of Electrical and Computer Engineering,Hoboken,NJ,USA,07030"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stevens Institute of Technology,Department of Electrical and Computer Engineering,Hoboken,NJ,USA,07030","institution_ids":["https://openalex.org/I108468826"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100409569","display_name":"Yuyang Zhang","orcid":"https://orcid.org/0000-0002-2244-0125"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuyang Zhang","raw_affiliation_strings":["Beijing Jiaotong University,School of Electronic and Information Engineering,Beijing,P. R. China,100044"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University,School of Electronic and Information Engineering,Beijing,P. R. China,100044","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091713195","display_name":"Hongke Zhang","orcid":"https://orcid.org/0000-0001-8906-813X"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongke Zhang","raw_affiliation_strings":["Beijing Jiaotong University,School of Electronic and Information Engineering,Beijing,P. R. China,100044"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University,School of Electronic and Information Engineering,Beijing,P. R. China,100044","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5058","last_page":"5063"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10579","display_name":"Cognitive Radio Networks and Spectrum Sensing","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10579","display_name":"Cognitive Radio Networks and Spectrum Sensing","score":0.9998999834060669,"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9995999932289124,"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/T11158","display_name":"Wireless Networks and Protocols","score":0.9993000030517578,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7760382294654846},{"id":"https://openalex.org/keywords/dynamic-priority-scheduling","display_name":"Dynamic priority scheduling","score":0.5865457057952881},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.5853270888328552},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5564692616462708},{"id":"https://openalex.org/keywords/job-shop-scheduling","display_name":"Job shop scheduling","score":0.47291097044944763},{"id":"https://openalex.org/keywords/round-robin-scheduling","display_name":"Round-robin scheduling","score":0.450094074010849},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.44898492097854614},{"id":"https://openalex.org/keywords/fair-share-scheduling","display_name":"Fair-share scheduling","score":0.44257086515426636},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.4030578136444092},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.2835674285888672},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.12357419729232788},{"id":"https://openalex.org/keywords/routing","display_name":"Routing (electronic design automation)","score":0.09177672863006592},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.08989068865776062}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7760382294654846},{"id":"https://openalex.org/C107568181","wikidata":"https://www.wikidata.org/wiki/Q5319000","display_name":"Dynamic priority scheduling","level":3,"score":0.5865457057952881},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5853270888328552},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5564692616462708},{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.47291097044944763},{"id":"https://openalex.org/C175893541","wikidata":"https://www.wikidata.org/wiki/Q1196582","display_name":"Round-robin scheduling","level":4,"score":0.450094074010849},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.44898492097854614},{"id":"https://openalex.org/C31689143","wikidata":"https://www.wikidata.org/wiki/Q733809","display_name":"Fair-share scheduling","level":3,"score":0.44257086515426636},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.4030578136444092},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.2835674285888672},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.12357419729232788},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.09177672863006592},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.08989068865776062},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc45855.2022.9839283","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc45855.2022.9839283","pdf_url":null,"source":{"id":"https://openalex.org/S4363607711","display_name":"ICC 2022 - IEEE International Conference on Communications","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2022 - IEEE International Conference on Communications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2057177205","https://openalex.org/W2135531200","https://openalex.org/W2136850962","https://openalex.org/W2143936743","https://openalex.org/W2144369278","https://openalex.org/W2147997621","https://openalex.org/W2162104643","https://openalex.org/W2171195082","https://openalex.org/W2428367860","https://openalex.org/W2468296714","https://openalex.org/W2854921244","https://openalex.org/W2889809831","https://openalex.org/W3126680734","https://openalex.org/W3136338303","https://openalex.org/W6681739910"],"related_works":["https://openalex.org/W2184166483","https://openalex.org/W4386580182","https://openalex.org/W2225350526","https://openalex.org/W1545991362","https://openalex.org/W2397293317","https://openalex.org/W4386128920","https://openalex.org/W4386764057","https://openalex.org/W2372008037","https://openalex.org/W2377713709","https://openalex.org/W2365679959"],"abstract_inverted_index":{"Cognitive":[0],"Radio":[1,11],"(CR)":[2],"enabled":[3],"vehicles":[4],"in":[5,163],"Vehicle":[6],"Networks":[7,13],"can":[8,99],"use":[9,20],"multiple":[10,22],"Access":[12],"(RANs)":[14],"for":[15,24],"data":[16,119],"transmission.":[17,48],"The":[18],"simultaneous":[19],"of":[21,29,46,51,69,123,130,161],"RANs":[23],"transmission":[25,33,89,125,132,193],"requires":[26],"the":[27,39,44,52,61,65,70,102,107,118,138,147,158,178,185,192],"design":[28],"a":[30,142],"specific":[31],"multi-path":[32,47,88,124,131],"protocol.":[34],"Many":[35],"scholars":[36],"have":[37],"studied":[38],"scheduling":[40,54,90,104,121,149,170,188],"algorithm":[41,91],"to":[42,58],"improve":[43],"quality":[45],"However,":[49],"most":[50],"existing":[53],"algorithms":[55,189],"are":[56],"difficult":[57],"deal":[59,74],"with":[60,75,168,184],"challenges":[62],"brought":[63],"by":[64,180,195],"diversity":[66],"and":[67,111,145,190],"heterogeneity":[68],"vehicle":[71],"network.":[72],"To":[73],"these":[76],"challenges,":[77],"this":[78,135],"paper":[79,115,136,156],"proposes":[80],"an":[81,127],"IP":[82],"layer":[83],"Deep":[84],"Reinforcement":[85],"Learning":[86],"(DRL)":[87],"named":[92],"Adaptive":[93],"Dynamic":[94],"Scheduling":[95],"Algorithm":[96],"(ADSA),":[97],"which":[98],"dynamically":[100],"generate":[101],"optimal":[103,148],"policy":[105],"through":[106,151],"interaction":[108],"between":[109],"agent":[110],"network":[112,159,165],"environment.":[113],"This":[114,155],"first":[116],"models":[117],"packet":[120],"strategy":[122,150],"into":[126,141],"optimization":[128,139],"problem":[129,140,144],"efficiency.":[133],"Then":[134],"transforms":[137],"DRL":[143,152],"finds":[146],"model":[153],"training.":[154],"evaluates":[157],"performance":[160],"ADSA":[162,176],"different":[164],"scenarios":[166],"compared":[167,183],"traditional":[169,187],"algorithms.":[171],"Simulation":[172],"results":[173],"show":[174],"that":[175],"increases":[177],"throughput":[179],"8.9":[181],"Mbps":[182],"three":[186],"reduces":[191],"delay":[194],"4.3":[196],"ms.":[197]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}