{"id":"https://openalex.org/W4414406044","doi":"https://doi.org/10.1109/iccworkshops67674.2025.11162287","title":"Variational Autoencoder-Based Intelligent Cooperative Integrated Sensing and Communication System","display_name":"Variational Autoencoder-Based Intelligent Cooperative Integrated Sensing and Communication System","publication_year":2025,"publication_date":"2025-06-08","ids":{"openalex":"https://openalex.org/W4414406044","doi":"https://doi.org/10.1109/iccworkshops67674.2025.11162287"},"language":"en","primary_location":{"id":"doi:10.1109/iccworkshops67674.2025.11162287","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccworkshops67674.2025.11162287","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Communications Workshops (ICC Workshops)","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/A5010765289","display_name":"Hanting Zhao","orcid":"https://orcid.org/0000-0001-5940-1069"},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanting Zhao","raw_affiliation_strings":["Future Research Lab, China Mobile Research Institute,Beijing,China,100053"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Future Research Lab, China Mobile Research Institute,Beijing,China,100053","institution_ids":["https://openalex.org/I180662265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114246410","display_name":"Jing Dong","orcid":"https://orcid.org/0000-0001-9099-2338"},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Dong","raw_affiliation_strings":["Future Research Lab, China Mobile Research Institute,Beijing,China,100053"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Future Research Lab, China Mobile Research Institute,Beijing,China,100053","institution_ids":["https://openalex.org/I180662265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084913966","display_name":"Rongyan Xi","orcid":"https://orcid.org/0000-0002-1135-3843"},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rongyan Xi","raw_affiliation_strings":["Future Research Lab, China Mobile Research Institute,Beijing,China,100053"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Future Research Lab, China Mobile Research Institute,Beijing,China,100053","institution_ids":["https://openalex.org/I180662265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023143622","display_name":"Lincong Han","orcid":"https://orcid.org/0000-0002-5064-7203"},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lincong Han","raw_affiliation_strings":["Future Research Lab, China Mobile Research Institute,Beijing,China,100053"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Future Research Lab, China Mobile Research Institute,Beijing,China,100053","institution_ids":["https://openalex.org/I180662265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100449404","display_name":"Jing Jin","orcid":"https://orcid.org/0009-0009-6327-1274"},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Jin","raw_affiliation_strings":["Future Research Lab, China Mobile Research Institute,Beijing,China,100053"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Future Research Lab, China Mobile Research Institute,Beijing,China,100053","institution_ids":["https://openalex.org/I180662265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034693737","display_name":"Qixing Wang","orcid":"https://orcid.org/0009-0000-5168-1123"},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qixing Wang","raw_affiliation_strings":["Future Research Lab, China Mobile Research Institute,Beijing,China,100053"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Future Research Lab, China Mobile Research Institute,Beijing,China,100053","institution_ids":["https://openalex.org/I180662265"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Lianlin Li","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lianlin Li","raw_affiliation_strings":["School of Electronics, Peking University,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics, Peking University,China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100737335","display_name":"Guangyi Liu","orcid":"https://orcid.org/0000-0002-8656-1946"},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangyi Liu","raw_affiliation_strings":["Future Research Lab, China Mobile Research Institute,Beijing,China,100053"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Future Research Lab, China Mobile Research Institute,Beijing,China,100053","institution_ids":["https://openalex.org/I180662265"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"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":0.12000855,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"342","last_page":"347"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.4253999888896942,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.4253999888896942,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.3912000060081482,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10320","display_name":"Neural Networks and Applications","score":0.3499999940395355,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/autoencoder","display_name":"Autoencoder","score":0.6970000267028809},{"id":"https://openalex.org/keywords/fusion-center","display_name":"Fusion center","score":0.534500002861023},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5120000243186951},{"id":"https://openalex.org/keywords/backhaul","display_name":"Backhaul (telecommunications)","score":0.4921000003814697},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4745999872684479},{"id":"https://openalex.org/keywords/base-station","display_name":"Base station","score":0.45190000534057617},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.4066999852657318},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.3871000111103058},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.36390000581741333}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.6970000267028809},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6140999794006348},{"id":"https://openalex.org/C2781234732","wikidata":"https://www.wikidata.org/wiki/Q943505","display_name":"Fusion center","level":4,"score":0.534500002861023},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5120000243186951},{"id":"https://openalex.org/C103760667","wikidata":"https://www.wikidata.org/wiki/Q798444","display_name":"Backhaul (telecommunications)","level":3,"score":0.4921000003814697},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4745999872684479},{"id":"https://openalex.org/C68649174","wikidata":"https://www.wikidata.org/wiki/Q1379116","display_name":"Base station","level":2,"score":0.45190000534057617},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4401000142097473},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.41620001196861267},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.4066999852657318},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.3871000111103058},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36410000920295715},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.36390000581741333},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3596000075340271},{"id":"https://openalex.org/C101765175","wikidata":"https://www.wikidata.org/wiki/Q577764","display_name":"Communications system","level":2,"score":0.35839998722076416},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.35179999470710754},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.3467000126838684},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.32679998874664307},{"id":"https://openalex.org/C192126672","wikidata":"https://www.wikidata.org/wiki/Q1068715","display_name":"Telecommunications network","level":2,"score":0.3208000063896179},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.3084999918937683},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.2930000126361847},{"id":"https://openalex.org/C19275194","wikidata":"https://www.wikidata.org/wiki/Q222903","display_name":"Multiplexing","level":2,"score":0.2808000147342682},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.27649998664855957},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2549000084400177},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.2513999938964844},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.25110000371932983},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.25099998712539673}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccworkshops67674.2025.11162287","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccworkshops67674.2025.11162287","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Communications Workshops (ICC Workshops)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"This":[0,152],"paper":[1],"proposes":[2],"a":[3,119,135],"collaborative":[4,195],"variational":[5],"autoencoder":[6],"(VAE)-based":[7],"target":[8,40,91],"fusion":[9,140],"method":[10,182],"for":[11,53,65],"sixth-generation":[12],"(6G)":[13],"intelligent":[14,78],"cooperative":[15,103,111],"integrated":[16],"sensing":[17,63,107,161],"and":[18,81,97,132,147,174,188],"communication":[19],"(IC-ISAC)":[20],"systems":[21],"using":[22],"orthogonal":[23],"frequency":[24],"division":[25],"multiplexing":[26],"(OFDM)":[27],"signals.":[28],"A":[29],"key":[30],"challenge":[31],"in":[32],"multi-base":[33],"station":[34],"(multi-BS)":[35],"ISAC":[36,104,196],"networks":[37],"is":[38],"the":[39,54,59,72,76,95,101,130,139,144,170,180],"segmentation":[41],"issue":[42],"caused":[43],"by":[44,134,159],"multiple":[45,110],"independent":[46],"base":[47],"stations":[48],"(BSs)":[49],"generating":[50],"different":[51],"measurements":[52],"same":[55],"target,":[56],"which":[57],"complicates":[58],"process":[60],"of":[61,100,149,169],"enhancing":[62],"performance":[64],"low-altitude":[66],"aerial":[67],"targets.":[68,151,171],"To":[69],"address":[70],"this,":[71],"proposed":[73,181],"system":[74],"leverages":[75],"VAE-based":[77,102],"network":[79,137,175],"framework":[80],"distributed":[82],"multiple-input":[83],"multiple-output":[84],"(MIMO)":[85],"radar":[86],"techniques":[87],"to":[88,142,192],"achieve":[89],"robust":[90],"perception.":[92],"By":[93],"utilizing":[94],"compression":[96],"generation":[98],"capabilities":[99],"architecture,":[105],"raw":[106],"data":[108,162],"from":[109],"BSs":[112],"are":[113,126],"encoded":[114],"into":[115],"latent":[116,124],"vectors":[117],"through":[118],"deep":[120],"neural":[121],"network.":[122],"These":[123],"representations":[125],"then":[127],"transmitted":[128],"via":[129],"backhaul":[131,156],"processed":[133],"generative":[136],"at":[138],"center":[141],"reconstruct":[143],"spatial":[145],"extent":[146],"placement":[148],"extended":[150],"approach":[153],"effectively":[154],"reduces":[155],"resource":[157],"consumption":[158],"compressing":[160],"while":[163],"preserving":[164],"critical":[165],"electromagnetic":[166],"scattering":[167],"features":[168],"Numerical":[172],"simulations":[173],"training":[176],"results":[177],"demonstrate":[178],"that":[179],"significantly":[183],"improves":[184],"multi-target":[185],"recognition":[186],"accuracy":[187],"computational":[189],"efficiency":[190],"compared":[191],"traditional":[193],"multistatic":[194],"approaches.":[197]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}