{"id":"https://openalex.org/W4401509644","doi":"https://doi.org/10.1109/iccworkshops59551.2024.10615471","title":"Broadband Over-the-Air Voxel Fusion for Integrated Sensing and Edge AI","display_name":"Broadband Over-the-Air Voxel Fusion for Integrated Sensing and Edge AI","publication_year":2024,"publication_date":"2024-06-09","ids":{"openalex":"https://openalex.org/W4401509644","doi":"https://doi.org/10.1109/iccworkshops59551.2024.10615471"},"language":"en","primary_location":{"id":"doi:10.1109/iccworkshops59551.2024.10615471","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iccworkshops59551.2024.10615471","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Communications Workshops (ICC Workshops)","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":null,"display_name":"Qiao Lan","orcid":null},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Qiao Lan","raw_affiliation_strings":["The University of Hong Kong,Department of Electrical and Electronic Engineering,Hong Kong SAR"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Hong Kong,Department of Electrical and Electronic Engineering,Hong Kong SAR","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101475683","display_name":"Zhiyan Liu","orcid":"https://orcid.org/0000-0002-9713-4552"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Zhiyan Liu","raw_affiliation_strings":["The University of Hong Kong,Department of Electrical and Electronic Engineering,Hong Kong SAR"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Hong Kong,Department of Electrical and Electronic Engineering,Hong Kong SAR","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007131492","display_name":"Kaibin Huang","orcid":"https://orcid.org/0000-0001-8773-4629"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Kaibin Huang","raw_affiliation_strings":["The University of Hong Kong,Department of Electrical and Electronic Engineering,Hong Kong SAR"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Hong Kong,Department of Electrical and Electronic Engineering,Hong Kong SAR","institution_ids":["https://openalex.org/I889458895"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I889458895"],"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":"1298","last_page":"1303"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9745000004768372,"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"}},"topics":[{"id":"https://openalex.org/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9745000004768372,"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/broadband","display_name":"Broadband","score":0.7956293821334839},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6614781618118286},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.6224976181983948},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5720148086547852},{"id":"https://openalex.org/keywords/voxel","display_name":"Voxel","score":0.4966755509376526},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4533613622188568},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.26755356788635254},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23987776041030884}],"concepts":[{"id":"https://openalex.org/C509933004","wikidata":"https://www.wikidata.org/wiki/Q194163","display_name":"Broadband","level":2,"score":0.7956293821334839},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6614781618118286},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.6224976181983948},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5720148086547852},{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.4966755509376526},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4533613622188568},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.26755356788635254},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23987776041030884},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccworkshops59551.2024.10615471","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iccworkshops59551.2024.10615471","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 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":12,"referenced_works":["https://openalex.org/W2135946392","https://openalex.org/W2963727135","https://openalex.org/W2985739927","https://openalex.org/W3006919779","https://openalex.org/W3178899257","https://openalex.org/W3197326271","https://openalex.org/W4312500615","https://openalex.org/W4324125788","https://openalex.org/W4362563541","https://openalex.org/W4386132034","https://openalex.org/W4390204409","https://openalex.org/W4399601973"],"related_works":["https://openalex.org/W3027020613","https://openalex.org/W2016533837","https://openalex.org/W3167885074","https://openalex.org/W2892386716","https://openalex.org/W2132659060","https://openalex.org/W2031992971","https://openalex.org/W3214791684","https://openalex.org/W2353265673","https://openalex.org/W2031175860","https://openalex.org/W2152662039"],"abstract_inverted_index":{"The":[0],"emerging":[1],"integrated":[2],"sensing":[3],"and":[4,105,146,154],"edge":[5,20,64],"artificial":[6],"intelligence":[7],"paradigm":[8],"commits":[9],"to":[10,30,96,112,121],"enabling":[11],"high-precision":[12],"environment":[13],"perception":[14],"applications":[15],"(e.g.,":[16],"autonomous":[17],"driving)":[18],"in":[19,67,130],"networks.":[21],"Fusing":[22],"features":[23],"from":[24,61],"distributed":[25],"sensors,":[26],"an":[27],"operation":[28],"critical":[29],"perception,":[31],"creates":[32],"a":[33,45,82,102],"multi-access":[34,156],"bottleneck":[35],"against":[36,152],"hostile":[37],"wireless":[38],"channels.":[39],"In":[40],"this":[41],"paper,":[42],"we":[43],"propose":[44],"task-oriented":[46,63],"fusion":[47,56],"framework":[48],"for":[49],"sparse":[50],"voxel":[51,55,73,80],"features,":[52],"termed":[53],"over-the-air":[54],"(AirFusion).":[57],"AirFusion":[58],"is":[59,90,110],"distinct":[60],"existing":[62],"inference":[65],"techniques":[66],"exploiting":[68],"the":[69,86,91,114,139],"diversified":[70],"sparsity":[71],"across":[72],"features.":[74],"This":[75],"allows":[76],"intelligently":[77],"pairing":[78,104],"each":[79],"with":[81],"matching":[83],"subcarrier":[84],"of":[85,94],"broadband":[87],"channel,":[88],"which":[89],"key":[92],"principle":[93],"AirFusion,":[95],"achieve":[97],"boosted":[98],"communication":[99],"efficiency.":[100],"Specifically,":[101],"voxel-carrier":[103],"power":[106,123,128],"allocation":[107,129],"(VoCa-PPA)":[108],"algorithm":[109],"developed":[111],"maximize":[113],"minimum":[115],"receive":[116],"SNR":[117],"among":[118],"voxels":[119],"subject":[120],"instantaneous":[122],"constraints.":[124],"VoCa-PPA":[125],"incorporates":[126],"optimal":[127],"closed-form":[131],"into":[132],"low-complexity":[133],"greedy":[134],"pairing.":[135],"Experimental":[136],"results":[137],"on":[138],"OPV2V":[140],"dataset":[141],"show":[142],"98.4%":[143],"error":[144],"reduction":[145,150],"5.74":[147],"\u00d7":[148],"latency":[149],"compared":[151],"sparsity-agnostic":[153],"digital":[155],"benchmarking":[157],"schemes,":[158],"respectively.":[159]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
