{"id":"https://openalex.org/W4321021444","doi":"https://doi.org/10.1109/lcomm.2023.3246052","title":"Unsupervised Learning Feature Estimation for MISO Beamforming by Using Spiking Neural Networks","display_name":"Unsupervised Learning Feature Estimation for MISO Beamforming by Using Spiking Neural Networks","publication_year":2023,"publication_date":"2023-02-16","ids":{"openalex":"https://openalex.org/W4321021444","doi":"https://doi.org/10.1109/lcomm.2023.3246052"},"language":"en","primary_location":{"id":"doi:10.1109/lcomm.2023.3246052","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lcomm.2023.3246052","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/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Communications Letters","raw_type":"journal-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/A5020919944","display_name":"Xiaokai Ge","orcid":"https://orcid.org/0000-0003-4032-9145"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaokai Ge","raw_affiliation_strings":["Key Laboratory of Wireless Optical Communication, Chinese Academy of Sciences, School of Information Science and Technology, University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Wireless Optical Communication, Chinese Academy of Sciences, School of Information Science and Technology, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072990562","display_name":"Xianzhi Hu","orcid":"https://orcid.org/0000-0001-8156-4286"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianzhi Hu","raw_affiliation_strings":["Key Laboratory of Wireless Optical Communication, Chinese Academy of Sciences, School of Information Science and Technology, University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Wireless Optical Communication, Chinese Academy of Sciences, School of Information Science and Technology, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035078428","display_name":"Xuchu Dai","orcid":"https://orcid.org/0000-0002-5190-7660"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuchu Dai","raw_affiliation_strings":["Key Laboratory of Wireless Optical Communication, Chinese Academy of Sciences, School of Information Science and Technology, University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Wireless Optical Communication, Chinese Academy of Sciences, School of Information Science and Technology, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5020919944"],"corresponding_institution_ids":["https://openalex.org/I126520041","https://openalex.org/I19820366"],"apc_list":null,"apc_paid":null,"fwci":0.5237,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.69052886,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"27","issue":"4","first_page":"1165","last_page":"1169"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9959999918937683,"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/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9959999918937683,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9941999912261963,"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/T11392","display_name":"Energy Harvesting in Wireless Networks","score":0.9914000034332275,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8193737864494324},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.6722568869590759},{"id":"https://openalex.org/keywords/spiking-neural-network","display_name":"Spiking neural network","score":0.653977632522583},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.647605836391449},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6193572878837585},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5375319123268127},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5259250402450562},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.5152740478515625},{"id":"https://openalex.org/keywords/beamforming","display_name":"Beamforming","score":0.47114554047584534},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.43345633149147034},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.4230797290802002},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4190790355205536},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4145652949810028},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2326955795288086},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08906692266464233},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07639196515083313}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8193737864494324},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.6722568869590759},{"id":"https://openalex.org/C11731999","wikidata":"https://www.wikidata.org/wiki/Q9067355","display_name":"Spiking neural network","level":3,"score":0.653977632522583},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.647605836391449},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6193572878837585},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5375319123268127},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5259250402450562},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.5152740478515625},{"id":"https://openalex.org/C54197355","wikidata":"https://www.wikidata.org/wiki/Q5782992","display_name":"Beamforming","level":2,"score":0.47114554047584534},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.43345633149147034},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.4230797290802002},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4190790355205536},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4145652949810028},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2326955795288086},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08906692266464233},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07639196515083313},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lcomm.2023.3246052","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lcomm.2023.3246052","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/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Communications Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.9100000262260437,"display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G4310414476","display_name":null,"funder_award_id":"61971391","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1570411240","https://openalex.org/W1970830346","https://openalex.org/W1999085092","https://openalex.org/W2006370340","https://openalex.org/W2072599023","https://openalex.org/W2163762663","https://openalex.org/W2616867685","https://openalex.org/W2621826044","https://openalex.org/W2890860720","https://openalex.org/W2892077605","https://openalex.org/W2908498346","https://openalex.org/W2964121744","https://openalex.org/W2990793844","https://openalex.org/W2998119008","https://openalex.org/W3038819247","https://openalex.org/W4221160099","https://openalex.org/W4282964289"],"related_works":["https://openalex.org/W2963170046","https://openalex.org/W2376244802","https://openalex.org/W2923631784","https://openalex.org/W818226659","https://openalex.org/W4311414679","https://openalex.org/W3126544799","https://openalex.org/W3124036039","https://openalex.org/W2130785056","https://openalex.org/W4200589288","https://openalex.org/W4381682834"],"abstract_inverted_index":{"Deep":[0],"learning":[1,106],"(DL)-based":[2],"beamforming":[3,95],"frameworks":[4,123],"have":[5,23],"the":[6,57,77,80,87,94,99,102,112,126],"advantage":[7],"of":[8,101,134],"low":[9],"computational":[10],"complexity.":[11],"However,":[12],"existing":[13,120],"works":[14],"are":[15,84,90],"based":[16,38],"on":[17,39,98],"artificial":[18],"neural":[19,41],"networks":[20,42],"(ANNs)":[21],"and":[22,136],"high":[24],"energy":[25,130],"cost.":[26],"To":[27],"improve":[28],"this":[29,31],"situation,":[30],"letter":[32],"proposes":[33],"a":[34,53],"feature":[35,121],"estimation":[36,122],"framework":[37,128],"spiking":[40],"(SNNs)":[43],"for":[44],"sum":[45,139],"rate":[46,140],"maximization":[47],"(SRM).":[48],"Specifically,":[49],"we":[50],"first":[51],"devise":[52],"coding":[54],"method":[55],"at":[56,76],"input":[58],"side":[59],"to":[60,92,110,119],"convert":[61],"channel":[62],"state":[63],"information":[64],"into":[65,86],"binary":[66,82],"spike":[67],"sequences":[68,83],"that":[69,89,117],"can":[70,107],"be":[71,108],"processed":[72],"by":[73,132],"SNNs.":[74,113],"Then,":[75],"output":[78,81],"side,":[79],"decoded":[85],"features":[88],"used":[91,109],"generate":[93],"weights.":[96],"Based":[97],"characteristics":[100],"decoding":[103],"method,":[104],"unsupervised":[105],"train":[111],"Simulation":[114],"results":[115],"show":[116],"compared":[118],"using":[124],"ANNs,":[125],"SNNs-based":[127],"reduces":[129],"cost":[131],"orders":[133],"magnitude":[135],"has":[137],"comparable":[138],"performance.":[141]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
