{"id":"https://openalex.org/W4411639923","doi":"https://doi.org/10.1109/twc.2025.3580321","title":"Toward Unified AI Models for MU-MIMO Communications: A Tensor Equivariance Framework","display_name":"Toward Unified AI Models for MU-MIMO Communications: A Tensor Equivariance Framework","publication_year":2025,"publication_date":"2025-06-25","ids":{"openalex":"https://openalex.org/W4411639923","doi":"https://doi.org/10.1109/twc.2025.3580321"},"language":"en","primary_location":{"id":"doi:10.1109/twc.2025.3580321","is_oa":false,"landing_page_url":"https://doi.org/10.1109/twc.2025.3580321","pdf_url":null,"source":{"id":"https://openalex.org/S63459445","display_name":"IEEE Transactions on Wireless Communications","issn_l":"1536-1276","issn":["1536-1276","1558-2248"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Transactions on Wireless Communications","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/A5022697878","display_name":"Yafei Wang","orcid":"https://orcid.org/0000-0001-9792-3212"},"institutions":[{"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":"Yafei Wang","raw_affiliation_strings":["National Mobile Communications Research Laboratory, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-9792-3212","affiliations":[{"raw_affiliation_string":"National Mobile Communications Research Laboratory, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049804174","display_name":"Hongwei Hou","orcid":"https://orcid.org/0009-0004-0373-0778"},"institutions":[{"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":"Hongwei Hou","raw_affiliation_strings":["National Mobile Communications Research Laboratory, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0009-0004-0373-0778","affiliations":[{"raw_affiliation_string":"National Mobile Communications Research Laboratory, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029033908","display_name":"Xinping Yi","orcid":"https://orcid.org/0000-0001-5163-2364"},"institutions":[{"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":"Xinping Yi","raw_affiliation_strings":["National Mobile Communications Research Laboratory, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-5163-2364","affiliations":[{"raw_affiliation_string":"National Mobile Communications Research Laboratory, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100636788","display_name":"Wenjin Wang","orcid":"https://orcid.org/0000-0002-5600-6589"},"institutions":[{"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":"Wenjin Wang","raw_affiliation_strings":["National Mobile Communications Research Laboratory, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-5600-6589","affiliations":[{"raw_affiliation_string":"National Mobile Communications Research Laboratory, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013079905","display_name":"Shi Jin","orcid":"https://orcid.org/0000-0003-0271-6021"},"institutions":[{"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":"Shi Jin","raw_affiliation_strings":["National Mobile Communications Research Laboratory, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-0271-6021","affiliations":[{"raw_affiliation_string":"National Mobile Communications Research Laboratory, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":7.3583,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.97732426,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"24","issue":"12","first_page":"10517","last_page":"10533"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9868999719619751,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9868999719619751,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10575","display_name":"Wireless Communication Networks Research","score":0.972599983215332,"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9433000087738037,"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/mimo","display_name":"MIMO","score":0.664553701877594},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.5786437392234802},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5741170644760132},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.44289931654930115},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3543049991130829},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.33724939823150635},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.33213120698928833},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30915629863739014},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.2231341004371643},{"id":"https://openalex.org/keywords/beamforming","display_name":"Beamforming","score":0.1886577308177948},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.17256680130958557}],"concepts":[{"id":"https://openalex.org/C207987634","wikidata":"https://www.wikidata.org/wiki/Q176862","display_name":"MIMO","level":3,"score":0.664553701877594},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.5786437392234802},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5741170644760132},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.44289931654930115},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3543049991130829},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.33724939823150635},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.33213120698928833},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30915629863739014},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.2231341004371643},{"id":"https://openalex.org/C54197355","wikidata":"https://www.wikidata.org/wiki/Q5782992","display_name":"Beamforming","level":2,"score":0.1886577308177948},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.17256680130958557}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/twc.2025.3580321","is_oa":false,"landing_page_url":"https://doi.org/10.1109/twc.2025.3580321","pdf_url":null,"source":{"id":"https://openalex.org/S63459445","display_name":"IEEE Transactions on Wireless Communications","issn_l":"1536-1276","issn":["1536-1276","1558-2248"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Transactions on Wireless Communications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2713346084","display_name":null,"funder_award_id":"62371122","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4518348544","display_name":null,"funder_award_id":"62471129","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5799216721","display_name":null,"funder_award_id":"CXJH_SEU 25077","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5979976968","display_name":null,"funder_award_id":"202406090257","funder_id":"https://openalex.org/F4320322725","funder_display_name":"China Scholarship Council"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W1935743411","https://openalex.org/W1970830346","https://openalex.org/W1976109068","https://openalex.org/W2033624838","https://openalex.org/W2072599023","https://openalex.org/W2074086712","https://openalex.org/W2094655360","https://openalex.org/W2097578209","https://openalex.org/W2128513990","https://openalex.org/W2137983211","https://openalex.org/W2163762663","https://openalex.org/W2164497732","https://openalex.org/W2164536085","https://openalex.org/W2302255633","https://openalex.org/W2616867685","https://openalex.org/W2706056020","https://openalex.org/W2800190297","https://openalex.org/W2908498346","https://openalex.org/W2969519626","https://openalex.org/W2981598692","https://openalex.org/W2992716901","https://openalex.org/W3039124110","https://openalex.org/W3040589146","https://openalex.org/W3096252532","https://openalex.org/W3111499798","https://openalex.org/W3121268232","https://openalex.org/W3161145378","https://openalex.org/W3189854358","https://openalex.org/W3193952356","https://openalex.org/W3215230729","https://openalex.org/W4206341154","https://openalex.org/W4206633299","https://openalex.org/W4221150253","https://openalex.org/W4280508843","https://openalex.org/W4286374925","https://openalex.org/W4288777480","https://openalex.org/W4312911614","https://openalex.org/W4322576544","https://openalex.org/W4322576964","https://openalex.org/W4366967551","https://openalex.org/W4385245566","https://openalex.org/W4385453555","https://openalex.org/W4386038394","https://openalex.org/W4392450129","https://openalex.org/W4395470946","https://openalex.org/W4400275530"],"related_works":["https://openalex.org/W2545343974","https://openalex.org/W4291895924","https://openalex.org/W1783583321","https://openalex.org/W2038397443","https://openalex.org/W2941374357","https://openalex.org/W2112785353","https://openalex.org/W2026727497","https://openalex.org/W2164866798","https://openalex.org/W1976502299","https://openalex.org/W4214657533"],"abstract_inverted_index":{"In":[0],"this":[1,43],"paper,":[2],"we":[3,61,91,121,139],"propose":[4,92,122],"a":[5,93,186],"unified":[6,124,198],"framework":[7,127],"based":[8,136],"on":[9,137],"equivariance":[10,67,126],"for":[11,177],"the":[12,47,69,104,123,142,156,174,191,197],"design":[13,48,143],"of":[14,28,49,68,95,144,193],"artificial":[15],"intelligence":[16],"(AI)-assisted":[17],"technologies":[18],"in":[19,58,185],"multi-user":[20],"multiple-input-multiple-output":[21],"(MU-MIMO)":[22],"systems.":[23],"We":[24],"first":[25],"provide":[26],"definitions":[27],"multidimensional":[29,34],"equivariance,":[30,32,90],"high-order":[31],"and":[33,51,81,148,166,196],"invariance":[35],"(referred":[36],"to":[37,74,132],"collectively":[38],"as":[39],"tensor":[40,66,89,97,115,125],"equivariance).":[41],"On":[42],"basis,":[44],"by":[45],"investigating":[46],"precoding":[50,76,78,147,178],"user":[52,149],"scheduling,":[53],"which":[54,138],"are":[55],"key":[56],"techniques":[57],"MU-MIMO":[59],"systems,":[60],"delve":[62],"deeper":[63],"into":[64,113],"revealing":[65],"mappings":[70,87],"from":[71],"channel":[72],"information":[73],"optimal":[75],"tensors,":[77,80],"auxiliary":[79],"scheduling":[82,150],"indicators,":[83],"respectively.":[84],"To":[85],"model":[86],"with":[88,162,179],"series":[94],"plug-and-play":[96],"equivariant":[98],"neural":[99],"network":[100],"(TENN)":[101],"modules,":[102,120],"where":[103],"computation":[105],"involving":[106],"intricate":[107],"parameter":[108],"sharing":[109],"patterns":[110],"is":[111],"transformed":[112],"concise":[114],"operations.":[116],"Building":[117],"upon":[118],"TENN":[119,194],"that":[128,155],"can":[129],"be":[130],"applicable":[131],"various":[133],"communication":[134],"tasks,":[135],"easily":[140],"accomplish":[141],"corresponding":[145],"AI-assisted":[146],"schemes.":[151],"Simulation":[152],"results":[153],"show":[154],"proposed":[157],"methods":[158],"achieve":[159],"near-optimal":[160],"performance":[161,184],"significantly":[163],"lower":[164],"complexity":[165],"strong":[167],"generalization":[168],"across":[169],"multiple":[170],"dimensions.":[171],"For":[172],"instance,":[173],"NN":[175],"trained":[176],"8":[180],"users":[181],"provides":[182],"satisfactory":[183],"10-user":[187],"scenario.":[188],"This":[189],"validates":[190],"superiority":[192],"modules":[195],"framework.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":6}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}