{"id":"https://openalex.org/W4385695027","doi":"https://doi.org/10.1145/3605801.3605828","title":"Deep Reinforcement Learning based Edge-Enabled Vehicle to Everything Service Placement for 5G Millimeter Wave","display_name":"Deep Reinforcement Learning based Edge-Enabled Vehicle to Everything Service Placement for 5G Millimeter Wave","publication_year":2023,"publication_date":"2023-06-16","ids":{"openalex":"https://openalex.org/W4385695027","doi":"https://doi.org/10.1145/3605801.3605828"},"language":"en","primary_location":{"id":"doi:10.1145/3605801.3605828","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3605801.3605828","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 2nd International Conference on Networks, Communications and Information Technology","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/A5068937392","display_name":"Zixiang Zhou","orcid":"https://orcid.org/0009-0000-8955-0735"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zixiang Zhou","raw_affiliation_strings":["Dalian University of Technology, China"],"raw_orcid":"https://orcid.org/0009-0000-8955-0735","affiliations":[{"raw_affiliation_string":"Dalian University of Technology, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101931447","display_name":"Mingchu Li","orcid":"https://orcid.org/0000-0002-0972-9012"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingchu Li","raw_affiliation_strings":["Dalian University of Technology, China"],"raw_orcid":"https://orcid.org/0000-0002-0972-9012","affiliations":[{"raw_affiliation_string":"Dalian University of Technology, China","institution_ids":["https://openalex.org/I27357992"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1227,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.42613946,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"138","last_page":"142"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.9925000071525574,"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":0.9925000071525574,"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9851999878883362,"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/T10936","display_name":"Millimeter-Wave Propagation and Modeling","score":0.967199981212616,"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/computer-science","display_name":"Computer science","score":0.8115084171295166},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.726860523223877},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.6762356162071228},{"id":"https://openalex.org/keywords/extremely-high-frequency","display_name":"Extremely high frequency","score":0.6168551445007324},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.6115473508834839},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.5994143486022949},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.5340442061424255},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.5089030265808105},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.4905973970890045},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4579012393951416},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4159984886646271},{"id":"https://openalex.org/keywords/millimeter","display_name":"Millimeter","score":0.4137970805168152},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.2840336561203003},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13868093490600586}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8115084171295166},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.726860523223877},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.6762356162071228},{"id":"https://openalex.org/C45764600","wikidata":"https://www.wikidata.org/wiki/Q570342","display_name":"Extremely high frequency","level":2,"score":0.6168551445007324},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.6115473508834839},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.5994143486022949},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.5340442061424255},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.5089030265808105},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.4905973970890045},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4579012393951416},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4159984886646271},{"id":"https://openalex.org/C109792285","wikidata":"https://www.wikidata.org/wiki/Q174789","display_name":"Millimeter","level":2,"score":0.4137970805168152},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.2840336561203003},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13868093490600586},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3605801.3605828","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3605801.3605828","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 2nd International Conference on Networks, Communications and Information Technology","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.5799999833106995,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W434934925","https://openalex.org/W2011497607","https://openalex.org/W2750840446","https://openalex.org/W2963035503","https://openalex.org/W2997499903","https://openalex.org/W2998898452","https://openalex.org/W3013844610","https://openalex.org/W3100493006","https://openalex.org/W3152145097"],"related_works":["https://openalex.org/W2317169686","https://openalex.org/W1185324648","https://openalex.org/W2539553997","https://openalex.org/W3159902002","https://openalex.org/W3208155863","https://openalex.org/W2363237216","https://openalex.org/W2033762247","https://openalex.org/W2530392398","https://openalex.org/W2070366004","https://openalex.org/W1997983170"],"abstract_inverted_index":{"Vehicle":[0],"to":[1,77,106,119,216],"Everything":[2],"(V2X)":[3],"communication":[4,138,168],"and":[5,25,52,54,86,92,164,195],"services":[6,42,157],"are":[7,100],"the":[8,12,20,29,34,55,58,78,93,108,132,140,153,190,197,207,212,217],"foundation":[9],"for":[10,131,139],"realizing":[11],"future":[13,30],"of":[14,23,50,57,80,110,135,142,155,200],"Intelligent":[15],"Transportation":[16],"Systems":[17],"(ITSs),":[18],"as":[19,84,162],"potential":[21],"number":[22],"users":[24],"device":[26],"connections":[27],"in":[28,33,48,158],"is":[31,104,169,184],"huge,":[32],"billions,":[35],"attracting":[36],"many":[37,40],"stakeholders.":[38],"However,":[39,75],"such":[41,83,161],"have":[43],"strict":[44],"performance":[45],"requirements,":[46],"especially":[47],"terms":[49],"latency":[51,71,214],"bandwidth,":[53],"introduction":[56],"fifth-generation":[59],"millimeter":[60],"wave":[61],"(5G":[62],"mmWave)":[63],"multi-access":[64],"edge":[65,98],"computing":[66,95,117],"(MEC)":[67],"can":[68,88],"further":[69],"reduce":[70],"while":[72],"increasing":[73],"bandwidth.":[74],"due":[76],"characteristics":[79],"millimeter-wave,":[81],"factors":[82],"rain":[85,163],"obstacles":[87,165],"degrade":[89],"system":[90],"performance,":[91],"available":[94],"resources":[96],"at":[97],"nodes":[99,118],"limited,":[101],"so":[102],"it":[103],"worthwhile":[105],"study":[107],"problem":[109,141],"optimal":[111,143],"V2X":[112,144,156,179,203],"service":[113,121,145,180],"placement":[114,146,154,181],"on":[115],"suitable":[116],"meet":[120],"quality.":[122],"To":[123,171],"this":[124,126,173],"end,":[125],"paper":[127],"designs":[128],"a":[129,175],"model":[130,192],"dynamic":[133],"environment":[134],"5G":[136],"millimeter-wave":[137,167],"(DVSP).":[147],"Previous":[148],"work":[149],"has":[150,211],"not":[151],"considered":[152],"adverse":[159],"conditions":[160],"when":[166],"introduced.":[170],"address":[172],"problem,":[174],"deep":[176],"reinforcement":[177],"learning-based":[178],"algorithm":[182,210],"(DQN-VSPA)":[183],"developed.":[185],"Simulation":[186],"results":[187],"show":[188],"that":[189],"DVSP":[191],"successfully":[193],"guarantees":[194],"maintains":[196],"QoS":[198],"requirements":[199],"all":[201],"different":[202],"services.":[204],"In":[205],"addition,":[206],"proposed":[208],"DQN-VSPA":[209],"lowest":[213],"compared":[215],"heuristic":[218],"algorithm.":[219]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}