乐胖代购免代理版

{"id":"https://openalex.org/W4225081401","doi":"https://doi.org/10.1109/lcomm.2022.3181008","title":"Supervised Contrastive CSI Representation Learning for Massive MIMO Positioning","display_name":"Supervised Contrastive CSI Representation Learning for Massive MIMO Positioning","publication_year":2022,"publication_date":"2022-06-08","ids":{"openalex":"https://openalex.org/W4225081401","doi":"https://doi.org/10.1109/lcomm.2022.3181008"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/lcomm.2022.3181008","pdf_url":null,"source":{"id":"https://openalex.org/S147316732","display_name":"IEEE Communications Letters","issn_l":"1089-7798","issn":["1089-7798","1558-2558","2373-7891"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310319808","https://openalex.org/P4310316002"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers","IEEE Communications Society"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2204.12796","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5091003868","display_name":"Junquan Deng","orcid":"https://orcid.org/0000-0001-5880-4894"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junquan Deng","raw_affiliation_strings":["Sixty-Third Research Institute, National University of Defense Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Sixty-Third Research Institute, National University of Defense Technology, Nanjing, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102027515","display_name":"Wei Shi","orcid":"https://orcid.org/0009-0001-5926-3441"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Shi","raw_affiliation_strings":["Sixty-Third Research Institute, National University of Defense Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Sixty-Third Research Institute, National University of Defense Technology, Nanjing, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068860723","display_name":"Jianzhao Zhang","orcid":"https://orcid.org/0000-0003-0277-7166"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianzhao Zhang","raw_affiliation_strings":["Sixty-Third Research Institute, National University of Defense Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Sixty-Third Research Institute, National University of Defense Technology, Nanjing, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101574470","display_name":"Xianyu Zhang","orcid":"https://orcid.org/0000-0002-2037-0231"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianyu Zhang","raw_affiliation_strings":["Sixty-Third Research Institute, National University of Defense Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Sixty-Third Research Institute, National University of Defense Technology, Nanjing, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100380082","display_name":"Chuan Zhang","orcid":"https://orcid.org/0000-0002-7736-6487"},"institutions":[{"id":"https://openalex.org/I4210155350","display_name":"Purple Mountain Laboratories","ror":"https://ror.org/04zcbk583","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210155350"]},{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuan Zhang","raw_affiliation_strings":["Purple Mountain Laboratories, Nanjing, China","Southeast University, Nanjing, LEADS, China"],"affiliations":[{"raw_affiliation_string":"Purple Mountain Laboratories, Nanjing, China","institution_ids":["https://openalex.org/I4210155350"]},{"raw_affiliation_string":"Southeast University, Nanjing, LEADS, China","institution_ids":["https://openalex.org/I76569877"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.725,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.999983,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":85,"max":87},"biblio":{"volume":"26","issue":"8","first_page":"1799","last_page":"1803"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9999,"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":0.9999,"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9993,"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/T10069","display_name":"Antenna Design and Analysis","score":0.9985,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/similarity","display_name":"Similarity (geometry)","score":0.6458715},{"id":"https://openalex.org/keywords/representation","display_name":"Representation","score":0.63957226},{"id":"https://openalex.org/keywords/channel-state-information","display_name":"Channel state information","score":0.6360582},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.49395686},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature Learning","score":0.4418388}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.72522366},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.65896547},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6544989},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6458715},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.63957226},{"id":"https://openalex.org/C148063708","wikidata":"https://www.wikidata.org/wiki/Q5072511","display_name":"Channel state information","level":3,"score":0.6360582},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6310964},{"id":"https://openalex.org/C207987634","wikidata":"https://www.wikidata.org/wiki/Q176862","display_name":"MIMO","level":3,"score":0.583144},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5715567},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.5703984},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5312925},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.49399787},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.49395686},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4418388},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.35347182},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.16086847},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10371062},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.065733135},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/lcomm.2022.3181008","pdf_url":null,"source":{"id":"https://openalex.org/S147316732","display_name":"IEEE Communications Letters","issn_l":"1089-7798","issn":["1089-7798","1558-2558","2373-7891"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310319808","https://openalex.org/P4310316002"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers","IEEE Communications Society"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2204.12796","pdf_url":"https://arxiv.org/pdf/2204.12796","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2204.12796","pdf_url":"https://arxiv.org/pdf/2204.12796","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[],"grants":[{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"61901497"},{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"62131005"},{"funder":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation","award_id":"2021MD703980"},{"funder":"https://openalex.org/F4320324150","funder_display_name":"National University of Defense Technology","award_id":"ZK 19-09"}],"datasets":[],"versions":[],"referenced_works_count":24,"referenced_works":["https://openalex.org/W2116255173","https://openalex.org/W2469797310","https://openalex.org/W2884034421","https://openalex.org/W2919358556","https://openalex.org/W2962927793","https://openalex.org/W2963371600","https://openalex.org/W2971911836","https://openalex.org/W2982470322","https://openalex.org/W2991800852","https://openalex.org/W3035359533","https://openalex.org/W3039795369","https://openalex.org/W3045512821","https://openalex.org/W3093952226","https://openalex.org/W3128817902","https://openalex.org/W3131351338","https://openalex.org/W3134406316","https://openalex.org/W3168163583","https://openalex.org/W3171662245","https://openalex.org/W3192921967","https://openalex.org/W3193309565","https://openalex.org/W3199469864","https://openalex.org/W3203598653","https://openalex.org/W3215850365","https://openalex.org/W4297808394"],"related_works":["https://openalex.org/W4313561566","https://openalex.org/W4283822356","https://openalex.org/W4281663961","https://openalex.org/W4220682630","https://openalex.org/W3208888551","https://openalex.org/W3208386644","https://openalex.org/W2983142544","https://openalex.org/W2891059443","https://openalex.org/W2129146436","https://openalex.org/W1950940422"],"abstract_inverted_index":{"Similarity":[0],"metric":[1,104],"is":[2,39,56],"crucial":[3],"for":[4],"massive":[5,20],"MIMO":[6,21],"positioning":[7,93,106],"utilizing":[8],"channel":[9],"state":[10],"information":[11],"(CSI).":[12],"In":[13],"this":[14],"letter,":[15],"we":[16],"propose":[17],"a":[18,50,95],"novel":[19],"CSI":[22,46,97],"similarity":[23,103],"learning":[24],"method":[25],"via":[26],"deep":[27],"convolutional":[28],"neural":[29],"network":[30],"(DCNN)":[31],"and":[32,44],"contrastive":[33,36],"learning.":[34],"A":[35],"loss":[37,60],"function":[38],"designed":[40],"considering":[41],"multiple":[42],"positive":[43,63],"negative":[45,77],"samples":[47,64,78],"drawn":[48],"from":[49,82],"training":[51],"dataset.":[52],"The":[53],"DCNN":[54],"encoder":[55],"trained":[57],"using":[58],"the":[59,71,83,86,101],"so":[61],"that":[62,100],"are":[65,79],"mapped":[66],"to":[67,70],"points":[68],"close":[69],"anchor's":[72,84],"encoding,":[73],"while":[74],"encodings":[75],"of":[76,91],"kept":[80],"away":[81],"in":[85],"representation":[87],"space.":[88],"Evaluation":[89],"results":[90],"fingerprint-based":[92],"on":[94],"real-world":[96],"dataset":[98],"show":[99],"learned":[102],"improves":[105],"accuracy":[107],"significantly":[108],"compared":[109],"with":[110],"other":[111],"known":[112],"state-of-the-art":[113],"methods.":[114]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4225081401","counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2}],"updated_date":"2024-12-20T13:09:30.469009","created_date":"2022-04-30"}