{"id":"https://openalex.org/W4323520911","doi":"https://doi.org/10.1109/ieeeconf56349.2022.10051848","title":"Asymmetric Bilinear Inference for Joint Communications and Environment Sensing","display_name":"Asymmetric Bilinear Inference for Joint Communications and Environment Sensing","publication_year":2022,"publication_date":"2022-10-31","ids":{"openalex":"https://openalex.org/W4323520911","doi":"https://doi.org/10.1109/ieeeconf56349.2022.10051848"},"language":"en","primary_location":{"id":"doi:10.1109/ieeeconf56349.2022.10051848","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf56349.2022.10051848","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 56th Asilomar Conference on Signals, Systems, and Computers","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/A5026798222","display_name":"Hyeon Seok Rou","orcid":"https://orcid.org/0000-0003-3483-7629"},"institutions":[{"id":"https://openalex.org/I193619901","display_name":"Constructor University","ror":"https://ror.org/02yrs2n53","country_code":"DE","type":"education","lineage":["https://openalex.org/I193619901"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Hyeon Seok Rou","raw_affiliation_strings":["School of Computer Science and Engineering, Jacobs University Bremen,Bremen,Germany,28759"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Jacobs University Bremen,Bremen,Germany,28759","institution_ids":["https://openalex.org/I193619901"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042210188","display_name":"Giuseppe Thadeu Freitas de Abreu","orcid":"https://orcid.org/0000-0002-5018-8174"},"institutions":[{"id":"https://openalex.org/I193619901","display_name":"Constructor University","ror":"https://ror.org/02yrs2n53","country_code":"DE","type":"education","lineage":["https://openalex.org/I193619901"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Giuseppe Thadeu Freitas de Abreu","raw_affiliation_strings":["School of Computer Science and Engineering, Jacobs University Bremen,Bremen,Germany,28759"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Jacobs University Bremen,Bremen,Germany,28759","institution_ids":["https://openalex.org/I193619901"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100632189","display_name":"David Gonz\u00e1lez G.","orcid":"https://orcid.org/0000-0003-2090-8481"},"institutions":[{"id":"https://openalex.org/I147869694","display_name":"Continental (Germany)","ror":"https://ror.org/0359s0245","country_code":"DE","type":"company","lineage":["https://openalex.org/I147869694"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"David Gonz\u00e1lez G","raw_affiliation_strings":["Wireless Communications Technologies Group, Continental AG,Frankfurt/Main,Germany,65936"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wireless Communications Technologies Group, Continental AG,Frankfurt/Main,Germany,65936","institution_ids":["https://openalex.org/I147869694"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001239356","display_name":"Osvaldo Gonsa","orcid":"https://orcid.org/0000-0001-5452-8159"},"institutions":[{"id":"https://openalex.org/I147869694","display_name":"Continental (Germany)","ror":"https://ror.org/0359s0245","country_code":"DE","type":"company","lineage":["https://openalex.org/I147869694"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Osvaldo Gonsa","raw_affiliation_strings":["Wireless Communications Technologies Group, Continental AG,Frankfurt/Main,Germany,65936"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wireless Communications Technologies Group, Continental AG,Frankfurt/Main,Germany,65936","institution_ids":["https://openalex.org/I147869694"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1111","last_page":"1115"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9998000264167786,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9998000264167786,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9995999932289124,"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/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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":0.7452126145362854},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5095701217651367},{"id":"https://openalex.org/keywords/bilinear-interpolation","display_name":"Bilinear interpolation","score":0.49079641699790955},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.45901811122894287},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4417106509208679},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.43426352739334106},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3244621753692627},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.23051708936691284}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7452126145362854},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5095701217651367},{"id":"https://openalex.org/C205203396","wikidata":"https://www.wikidata.org/wiki/Q612143","display_name":"Bilinear interpolation","level":2,"score":0.49079641699790955},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.45901811122894287},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4417106509208679},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.43426352739334106},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3244621753692627},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.23051708936691284},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ieeeconf56349.2022.10051848","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf56349.2022.10051848","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 56th Asilomar Conference on Signals, Systems, and Computers","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","score":0.4699999988079071,"display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1510028821","https://openalex.org/W2010762921","https://openalex.org/W2059784185","https://openalex.org/W2706629214","https://openalex.org/W2761626116","https://openalex.org/W2902059755","https://openalex.org/W2955897898","https://openalex.org/W3116483105","https://openalex.org/W3129749423","https://openalex.org/W3129773144","https://openalex.org/W3200820186","https://openalex.org/W3201063899","https://openalex.org/W3204124338","https://openalex.org/W3211270128","https://openalex.org/W4290994006"],"related_works":["https://openalex.org/W2165589608","https://openalex.org/W3093557575","https://openalex.org/W3182767856","https://openalex.org/W2354231916","https://openalex.org/W2162140574","https://openalex.org/W2354073393","https://openalex.org/W2361009070","https://openalex.org/W2378988399","https://openalex.org/W1983356840","https://openalex.org/W2121457398"],"abstract_inverted_index":{"Beyond-fifth-generation":[0],"(B5G),":[1],"sixth-generation":[2],"(6G)":[3],"and":[4,13,36,43,57,99,113,130,146],"Internet-of-":[5],"Things":[6],"(IoT)":[7],"applications,":[8],"such":[9],"as":[10,108],"autonomous":[11],"driving":[12],"robot-assisted":[14],"living":[15],"anticipate":[16],"scenarios":[17],"where":[18,149],"multiple":[19,27],"user":[20],"equipment":[21],"(UE)":[22],"not":[23],"only":[24],"communicate":[25],"with":[26,74,158],"access":[28],"points":[29],"(APs),":[30],"but":[31],"also":[32],"collaborate":[33],"among":[34],"themselves":[35],"utilize":[37],"communication":[38,88],"signals":[39,89],"in":[40,47,65,143],"the":[41,48,84,92,106,125,131,137,140,150],"detection":[42],"identification":[44],"of":[45,87,91,139],"objects":[46,154],"environment.":[49],"Motivated":[50],"by":[51],"this":[52,72],"emerging":[53],"paradigm,":[54],"joint":[55],"communications":[56,167],"sensing":[58],"(JCAS)":[59],"systems":[60],"have":[61],"been":[62],"heavily":[63],"investigated":[64],"recent":[66],"years.":[67],"This":[68],"paper":[69],"contributes":[70],"to":[71,79,122],"field":[73],"a":[75,109,115,165],"novel":[76],"JCAS":[77],"algorithm":[78,142],"extract":[80],"environmental":[81],"information":[82],"from":[83],"scattered":[85],"paths":[86],"typical":[90],"high":[93],"frequency":[94],"bands":[95],"envisioned":[96],"for":[97],"B5G":[98],"6G":[100],"systems.":[101],"In":[102],"particular,":[103],"we":[104],"model":[105],"environment":[107,147,153],"voxelated":[110],"occupancy":[111],"grid":[112],"employ":[114],"bilinear":[116],"Gaussian":[117],"belief":[118],"propagation":[119],"(BiGaBP)":[120],"framework":[121],"jointly":[123],"estimate":[124],"voxel":[126],"occupancies":[127],"(filled/empty":[128],"space)":[129],"data":[132],"symbols.":[133],"Simulation":[134],"results":[135],"verify":[136],"effectiveness":[138],"proposed":[141],"both":[144],"signal":[145],"estimation,":[148],"three-dimensional":[151],"(3D)":[152],"are":[155],"perfectly":[156],"reconstructed":[157],"sufficient":[159],"signal-to-noise":[160],"ratio":[161],"(SNR)":[162],"while":[163],"achieving":[164],"low":[166],"error":[168],"rate.":[169]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}