{"id":"https://openalex.org/W4402835337","doi":"https://doi.org/10.1109/vtc2024-spring62846.2024.10683141","title":"Deep Machine Learning-Based AoD Map and AoA Map Construction for Wireless Networks","display_name":"Deep Machine Learning-Based AoD Map and AoA Map Construction for Wireless Networks","publication_year":2024,"publication_date":"2024-06-24","ids":{"openalex":"https://openalex.org/W4402835337","doi":"https://doi.org/10.1109/vtc2024-spring62846.2024.10683141"},"language":"en","primary_location":{"id":"doi:10.1109/vtc2024-spring62846.2024.10683141","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2024-spring62846.2024.10683141","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 99th Vehicular Technology Conference (VTC2024-Spring)","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/A5108492398","display_name":"Ronghong Mo","orcid":null},"institutions":[{"id":"https://openalex.org/I168639165","display_name":"Singapore Institute of Technology","ror":"https://ror.org/01v2c2791","country_code":"SG","type":"education","lineage":["https://openalex.org/I168639165"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Ronghong Mo","raw_affiliation_strings":["Singapore Institute of Technology,Singapore,138683"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Singapore Institute of Technology,Singapore,138683","institution_ids":["https://openalex.org/I168639165"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060380113","display_name":"Yiyang Pei","orcid":"https://orcid.org/0000-0002-9915-8697"},"institutions":[{"id":"https://openalex.org/I168639165","display_name":"Singapore Institute of Technology","ror":"https://ror.org/01v2c2791","country_code":"SG","type":"education","lineage":["https://openalex.org/I168639165"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yiyang Pei","raw_affiliation_strings":["Singapore Institute of Technology,Singapore,138683"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Singapore Institute of Technology,Singapore,138683","institution_ids":["https://openalex.org/I168639165"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100606009","display_name":"Sumei Sun","orcid":"https://orcid.org/0000-0002-1701-8122"},"institutions":[{"id":"https://openalex.org/I168639165","display_name":"Singapore Institute of Technology","ror":"https://ror.org/01v2c2791","country_code":"SG","type":"education","lineage":["https://openalex.org/I168639165"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Sumei Sun","raw_affiliation_strings":["Singapore Institute of Technology,Singapore,138683"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Singapore Institute of Technology,Singapore,138683","institution_ids":["https://openalex.org/I168639165"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091828892","display_name":"A.B. Premkumar","orcid":"https://orcid.org/0000-0003-1861-9760"},"institutions":[{"id":"https://openalex.org/I168639165","display_name":"Singapore Institute of Technology","ror":"https://ror.org/01v2c2791","country_code":"SG","type":"education","lineage":["https://openalex.org/I168639165"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"A. B. Premkumar","raw_affiliation_strings":["Singapore Institute of Technology,Singapore,138683"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Singapore Institute of Technology,Singapore,138683","institution_ids":["https://openalex.org/I168639165"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026547745","display_name":"Neelakantam Venkatarayalu","orcid":"https://orcid.org/0000-0002-4458-1180"},"institutions":[{"id":"https://openalex.org/I168639165","display_name":"Singapore Institute of Technology","ror":"https://ror.org/01v2c2791","country_code":"SG","type":"education","lineage":["https://openalex.org/I168639165"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Neelakantam V Venkatarayalu","raw_affiliation_strings":["Singapore Institute of Technology,Singapore,138683"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Singapore Institute of Technology,Singapore,138683","institution_ids":["https://openalex.org/I168639165"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I168639165"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11932","display_name":"Wireless Body Area Networks","score":0.9135000109672546,"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"}},"topics":[{"id":"https://openalex.org/T11932","display_name":"Wireless Body Area Networks","score":0.9135000109672546,"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":0.7123242020606995},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.5292284488677979},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4899987280368805},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.4744863510131836},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.400430828332901},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.36364778876304626},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.22129547595977783}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7123242020606995},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.5292284488677979},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4899987280368805},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.4744863510131836},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.400430828332901},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.36364778876304626},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.22129547595977783}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vtc2024-spring62846.2024.10683141","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2024-spring62846.2024.10683141","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 99th Vehicular Technology Conference (VTC2024-Spring)","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":18,"referenced_works":["https://openalex.org/W1973344211","https://openalex.org/W2085468792","https://openalex.org/W2574081677","https://openalex.org/W2938048278","https://openalex.org/W2981096252","https://openalex.org/W3017038102","https://openalex.org/W3131967102","https://openalex.org/W3181821372","https://openalex.org/W3193888727","https://openalex.org/W4221160010","https://openalex.org/W4362683581","https://openalex.org/W4391697040","https://openalex.org/W4392158163","https://openalex.org/W4392158632","https://openalex.org/W6631101137","https://openalex.org/W6759127422","https://openalex.org/W6767844734","https://openalex.org/W6856411431"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W3215138031","https://openalex.org/W3009238340","https://openalex.org/W4321369474","https://openalex.org/W4360585206","https://openalex.org/W4285208911","https://openalex.org/W3082895349","https://openalex.org/W4213079790","https://openalex.org/W2248239756","https://openalex.org/W4323565446"],"abstract_inverted_index":{"Channel":[0],"knowledge":[1],"map":[2,81],"(CKM)":[3],"has":[4],"been":[5],"envisioned":[6],"as":[7],"a":[8],"promising":[9],"technology":[10,67],"to":[11,48,63,68,97,126],"achieve":[12],"environment-aware":[13],"communications":[14],"for":[15,39,103],"future":[16],"sixth-generation":[17],"(6G)":[18],"wireless":[19],"networks.":[20],"The":[21],"angle":[22,28],"of":[23,29,35,45],"departure":[24],"(AoD)":[25],"and":[26,52,73,79,101,119,136],"the":[27,50,65,70,77,90,99,111,117,120,127,143],"arrival":[30],"(AoA)":[31],"are":[32],"crucial":[33],"parameters":[34],"CKM":[36,66],"widely":[37],"used":[38],"location-specific":[40,55,71],"applications.":[41],"Conventional":[42],"stochastic":[43],"methods":[44],"char-acterization":[46],"fail":[47],"correlate":[49],"AoD":[51,72,78,100,118],"AoA":[53,80,102,121],"with":[54,123],"transmission":[56],"environments.":[57],"In":[58],"this":[59],"paper,":[60],"we":[61],"propose":[62],"utilize":[64],"characterize":[69],"AoA,":[74],"by":[75],"constructing":[76],"based":[82],"on":[83],"sparse":[84],"measurement":[85],"data.":[86],"We":[87],"further":[88],"leverage":[89],"data-driven":[91],"deep":[92],"machine":[93],"learning":[94],"(DML)":[95],"technique":[96],"obtain":[98],"locations":[104],"without":[105],"measurements.":[106],"Simulation":[107],"results":[108],"show":[109],"that":[110],"proposed":[112],"method":[113],"can":[114],"construct":[115],"both":[116],"maps":[122],"high":[124],"fidelity":[125],"true":[128],"map.":[129],"Moreover,":[130],"Method":[131,147],"II":[132],"which":[133],"predicts":[134],"AoDs":[135],"AoAs":[137],"sequentially":[138],"achieves":[139],"better":[140],"performance":[141],"than":[142],"independent":[144],"prediction":[145],"in":[146],"I.":[148]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}