{"id":"https://openalex.org/W4414535336","doi":"https://doi.org/10.1109/icc52391.2025.11161147","title":"Edge-Assisted Accelerated Cooperative Sensing for CAVs: Task Placement and Resource Allocation","display_name":"Edge-Assisted Accelerated Cooperative Sensing for CAVs: Task Placement and Resource Allocation","publication_year":2025,"publication_date":"2025-06-08","ids":{"openalex":"https://openalex.org/W4414535336","doi":"https://doi.org/10.1109/icc52391.2025.11161147"},"language":"en","primary_location":{"id":"doi:10.1109/icc52391.2025.11161147","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc52391.2025.11161147","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2025 - IEEE International Conference on Communications","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/A5100375979","display_name":"Yuxuan Wang","orcid":"https://orcid.org/0000-0002-1649-6974"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuxuan Wang","raw_affiliation_strings":["Pengcheng Laboratory,Frontier Research Center,China"],"affiliations":[{"raw_affiliation_string":"Pengcheng Laboratory,Frontier Research Center,China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047942353","display_name":"Kaige Qu","orcid":null},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaige Qu","raw_affiliation_strings":["School of Transportation Science and Engineering Beihang University,China"],"affiliations":[{"raw_affiliation_string":"School of Transportation Science and Engineering Beihang University,China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074854979","display_name":"Wen Wu","orcid":"https://orcid.org/0000-0002-0458-1282"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen Wu","raw_affiliation_strings":["Pengcheng Laboratory,Frontier Research Center,China"],"affiliations":[{"raw_affiliation_string":"Pengcheng Laboratory,Frontier Research Center,China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100773343","display_name":"Xuemin Shen","orcid":"https://orcid.org/0000-0002-4140-287X"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Xuemin Sherman Shen","raw_affiliation_strings":["University of Waterloo,Department of Electrical and Computer Engineering,Canada"],"affiliations":[{"raw_affiliation_string":"University of Waterloo,Department of Electrical and Computer Engineering,Canada","institution_ids":["https://openalex.org/I151746483"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100375979"],"corresponding_institution_ids":["https://openalex.org/I4210136793"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.32276368,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"6687","last_page":"6692"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9093000292778015,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9093000292778015,"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/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9003999829292297,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.753600001335144},{"id":"https://openalex.org/keywords/resource-allocation","display_name":"Resource allocation","score":0.7318000197410583},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6995000243186951},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.57669997215271},{"id":"https://openalex.org/keywords/resource-management","display_name":"Resource management (computing)","score":0.5440000295639038},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5164999961853027},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"Convex optimization","score":0.4713999927043915},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.44839999079704285}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.753600001335144},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.7318000197410583},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7146999835968018},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6995000243186951},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.57669997215271},{"id":"https://openalex.org/C2780609101","wikidata":"https://www.wikidata.org/wiki/Q17156588","display_name":"Resource management (computing)","level":2,"score":0.5440000295639038},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5164999961853027},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.4713999927043915},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.44839999079704285},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4374000132083893},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4284000098705292},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.42570000886917114},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.41200000047683716},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.39959999918937683},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.3779999911785126},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.3244999945163727},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.289900004863739},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.28519999980926514},{"id":"https://openalex.org/C180518391","wikidata":"https://www.wikidata.org/wiki/Q355217","display_name":"Time allocation","level":2,"score":0.25200000405311584},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.25040000677108765}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc52391.2025.11161147","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc52391.2025.11161147","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2025 - IEEE International Conference on Communications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2897529137","https://openalex.org/W2968764495","https://openalex.org/W2982681137","https://openalex.org/W2996759437","https://openalex.org/W3211437387","https://openalex.org/W4205946715","https://openalex.org/W4221058587","https://openalex.org/W4225603078","https://openalex.org/W4290996708","https://openalex.org/W4312652047","https://openalex.org/W4385236940","https://openalex.org/W4387449317","https://openalex.org/W4389924147","https://openalex.org/W4391164477"],"related_works":[],"abstract_inverted_index":{"In":[0],"this":[1,59],"paper,":[2],"we":[3,64],"propose":[4,113],"a":[5,84,114],"novel":[6],"road":[7],"side":[8],"unit":[9],"(RSU)-assisted":[10],"cooperative":[11],"sensing":[12,27,31,43,101],"scheme":[13,167],"for":[14,61,92],"connected":[15],"autonomous":[16,157],"vehicles":[17],"(CAVs),":[18],"with":[19],"the":[20,71,75,94,107,130,135,156,162,165],"objective":[21],"to":[22,41,52,67,117,175],"reduce":[23],"completion":[24,97,172],"time":[25,98],"of":[26,33,164],"tasks.":[28],"Specifically,":[29],"LiDAR":[30],"data":[32],"both":[34],"RSU":[35,76],"and":[36,45,77,88,112,140,147],"CAVs":[37],"are":[38,49],"selectively":[39],"fused":[40],"improve":[42],"accuracy,":[44],"computing":[46,141],"resources":[47,79],"therein":[48],"cooperatively":[50],"utilized":[51],"process":[53],"tasks":[54],"in":[55,168],"real":[56],"time.":[57],"To":[58],"end,":[60],"each":[62],"task,":[63],"decide":[65],"whether":[66],"compute":[68],"it":[69],"at":[70,74],"CAV":[72],"or":[73],"allocate":[78],"accordingly.":[80],"We":[81,104],"first":[82,123],"formulate":[83],"joint":[85],"task":[86,96,125,171],"placement":[87,126],"resource":[89,142],"allocation":[90,143],"problem":[91,108],"minimizing":[93],"total":[95,170],"while":[99,134],"satisfying":[100],"accuracy":[102],"constraint.":[103],"then":[105],"decouple":[106],"into":[109],"two":[110],"subproblems":[111],"two-layer":[115],"algorithm":[116],"solve":[118],"them.":[119],"The":[120],"outer":[121],"layer":[122,137],"makes":[124,138],"decision":[127],"based":[128,154],"on":[129,155],"Gibbs":[131],"sampling":[132],"theory,":[133],"inner":[136],"spectrum":[139],"decisions":[144],"via":[145],"greedy-based":[146],"convex":[148],"optimization":[149],"subroutines,":[150],"respectively.":[151],"Simulation":[152],"results":[153],"driving":[158],"simulator":[159],"CARLA":[160],"demonstrate":[161],"effectiveness":[163],"proposed":[166],"reducing":[169],"time,":[173],"comparing":[174],"benchmark":[176],"schemes.":[177]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-10T00:00:00"}
