{"id":"https://openalex.org/W7101409317","doi":"https://doi.org/10.1109/tcomm.2025.3626023","title":"Toward Transparent Deep Learning: Neural Precoder Design for Downlink RSMA","display_name":"Toward Transparent Deep Learning: Neural Precoder Design for Downlink RSMA","publication_year":2025,"publication_date":"2025-10-28","ids":{"openalex":"https://openalex.org/W7101409317","doi":"https://doi.org/10.1109/tcomm.2025.3626023"},"language":null,"primary_location":{"id":"doi:10.1109/tcomm.2025.3626023","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcomm.2025.3626023","pdf_url":null,"source":{"id":"https://openalex.org/S196647941","display_name":"IEEE Transactions on Communications","issn_l":"0090-6778","issn":["0090-6778","1558-0857"],"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 Transactions on 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":null,"display_name":"Chao Wang","orcid":"https://orcid.org/0000-0003-0187-6453"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chao Wang","raw_affiliation_strings":["Integrated Service Networks Laboratory, Xidian University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0003-0187-6453","affiliations":[{"raw_affiliation_string":"Integrated Service Networks Laboratory, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Guo Li","orcid":"https://orcid.org/0000-0001-6273-9028"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guo Li","raw_affiliation_strings":["School of Cyber Engineering, Xidian University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0001-6273-9028","affiliations":[{"raw_affiliation_string":"School of Cyber Engineering, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zan Li","orcid":"https://orcid.org/0000-0002-5207-6504"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zan Li","raw_affiliation_strings":["Integrated Service Networks Laboratory, Xidian University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0002-5207-6504","affiliations":[{"raw_affiliation_string":"Integrated Service Networks Laboratory, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Haibin Zhang","orcid":"https://orcid.org/0000-0002-0080-6341"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haibin Zhang","raw_affiliation_strings":["School of Cyber Engineering, Xidian University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0002-0080-6341","affiliations":[{"raw_affiliation_string":"School of Cyber Engineering, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":null,"display_name":"Liang Jin","orcid":"https://orcid.org/0000-0001-6464-6263"},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Jin","raw_affiliation_strings":["Information Engineering University, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-6464-6263","affiliations":[{"raw_affiliation_string":"Information Engineering University, Zhengzhou, China","institution_ids":["https://openalex.org/I169689159"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.48708877,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"74","issue":null,"first_page":"433","last_page":"445"},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T11458","display_name":"Advanced Wireless Communication Technologies","score":0.911300003528595,"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/T11458","display_name":"Advanced Wireless Communication Technologies","score":0.911300003528595,"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":0.024900000542402267,"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/T12131","display_name":"Wireless Signal Modulation Classification","score":0.010300000198185444,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/telecommunications-link","display_name":"Telecommunications link","score":0.7272999882698059},{"id":"https://openalex.org/keywords/precoding","display_name":"Precoding","score":0.6322000026702881},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5418000221252441},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5299000144004822},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4991999864578247},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"Convex optimization","score":0.4876999855041504},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.4262999892234802},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.38690000772476196}],"concepts":[{"id":"https://openalex.org/C138660444","wikidata":"https://www.wikidata.org/wiki/Q5607897","display_name":"Telecommunications link","level":2,"score":0.7272999882698059},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6951000094413757},{"id":"https://openalex.org/C160562895","wikidata":"https://www.wikidata.org/wiki/Q7239557","display_name":"Precoding","level":4,"score":0.6322000026702881},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5418000221252441},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5299000144004822},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5271000266075134},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4991999864578247},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.4876999855041504},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.4262999892234802},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4171999990940094},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.38690000772476196},{"id":"https://openalex.org/C143587482","wikidata":"https://www.wikidata.org/wiki/Q1543216","display_name":"Iterative and incremental development","level":2,"score":0.37439998984336853},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3569999933242798},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.34950000047683716},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.3278000056743622},{"id":"https://openalex.org/C106516650","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm design","level":2,"score":0.29739999771118164},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.27959999442100525},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.2768000066280365},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.2669000029563904},{"id":"https://openalex.org/C145446738","wikidata":"https://www.wikidata.org/wiki/Q319913","display_name":"Convex function","level":3,"score":0.26510000228881836},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.25429999828338623}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcomm.2025.3626023","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcomm.2025.3626023","pdf_url":null,"source":{"id":"https://openalex.org/S196647941","display_name":"IEEE Transactions on Communications","issn_l":"0090-6778","issn":["0090-6778","1558-0857"],"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 Transactions on Communications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1946603690","display_name":null,"funder_award_id":"62371357","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7259884313","display_name":null,"funder_award_id":"2025GHYBXM-048","funder_id":"https://openalex.org/F4320336350","funder_display_name":"Key Research and Development Projects of Shaanxi Province"},{"id":"https://openalex.org/G8853341699","display_name":null,"funder_award_id":"U22A2001","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"},{"id":"https://openalex.org/F4320336350","display_name":"Key Research and Development Projects of Shaanxi Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W151604921","https://openalex.org/W1577575122","https://openalex.org/W1970830346","https://openalex.org/W2165732314","https://openalex.org/W2508393166","https://openalex.org/W2963328334","https://openalex.org/W2963504849","https://openalex.org/W2966038277","https://openalex.org/W2981598692","https://openalex.org/W2999690840","https://openalex.org/W3005526854","https://openalex.org/W3036383181","https://openalex.org/W3039366958","https://openalex.org/W3048657120","https://openalex.org/W3096252532","https://openalex.org/W3104419102","https://openalex.org/W3106035754","https://openalex.org/W3138535611","https://openalex.org/W3162708859","https://openalex.org/W3173963812","https://openalex.org/W3193952356","https://openalex.org/W3196647917","https://openalex.org/W3206671995","https://openalex.org/W4221160108","https://openalex.org/W4250589301","https://openalex.org/W4285740641","https://openalex.org/W4289792779","https://openalex.org/W4308037375","https://openalex.org/W4312391321","https://openalex.org/W4312790010","https://openalex.org/W4318586167","https://openalex.org/W4360996858","https://openalex.org/W4362496223","https://openalex.org/W4385288078","https://openalex.org/W4386249766","https://openalex.org/W4392153330","https://openalex.org/W4393139936","https://openalex.org/W4393253044","https://openalex.org/W4394698491","https://openalex.org/W4400645162","https://openalex.org/W4407129060","https://openalex.org/W4415482238"],"related_works":[],"abstract_inverted_index":{"The":[0],"non-convexity":[1],"of":[2,10,67,83,114,121],"rate-splitting":[3,31],"precoder":[4,28,74,146],"design":[5,29,75],"precludes":[6],"the":[7,81,112,119,137],"direct":[8],"use":[9],"efficient":[11],"convex":[12,17],"optimization":[13,44,86,154],"algorithms.":[14],"Instead,":[15],"successive":[16],"approximation":[18],"(SCA)-based":[19],"methods":[20],"have":[21],"emerged":[22],"as":[23],"a":[24,106,122,126],"promising":[25],"approach":[26],"for":[27,76,163],"in":[30],"multiple":[32],"access":[33],"(RSMA)":[34],"systems.":[35],"Although":[36],"SCA-based":[37],"algorithms":[38],"deliver":[39],"satisfactory":[40],"performance,":[41],"their":[42],"lengthy":[43],"process":[45],"and":[46,87],"high":[47],"computational":[48,158],"complexity\u2014due":[49],"to":[50,151],"repeatedly":[51],"solving":[52],"approximate":[53],"problems\u2014hinder":[54],"real-time":[55,164],"implementation.":[56],"To":[57,129],"address":[58],"this":[59,115],"challenge,":[60],"we":[61,92,110,132],"propose":[62],"an":[63,95],"alternating":[64],"direction":[65],"method":[66],"multipliers":[68],"(ADMM)-induced":[69],"deep":[70,89],"learning":[71],"network":[72],"(AIDLN)-based":[73],"multiuser":[77],"downlink":[78],"communications,":[79],"leveraging":[80],"strengths":[82],"both":[84],"model-based":[85,153],"data-driven":[88],"learning.":[90],"Specifically,":[91],"first":[93],"develop":[94],"iterative":[96],"precoding":[97],"algorithm":[98,117],"based":[99],"on":[100],"ADMM,":[101],"where":[102],"each":[103],"subproblem":[104],"admits":[105],"closed-form":[107],"solution.":[108],"Next,":[109],"unfold":[111],"iterations":[113],"ADMM-based":[116],"into":[118],"layers":[120],"neural":[123],"network,":[124],"constructing":[125],"deep-unfolding":[127],"architecture.":[128],"accelerate":[130],"convergence,":[131],"introduce":[133],"trainable":[134],"parameters":[135],"alongside":[136],"ADMM":[138],"hyperparameters.":[139],"Numerical":[140],"results":[141],"demonstrate":[142],"that":[143],"our":[144],"AIDLN-based":[145],"achieves":[147],"superior":[148],"performance":[149],"compared":[150],"traditional":[152],"while":[155],"maintaining":[156],"low":[157],"complexity,":[159],"making":[160],"it":[161],"suitable":[162],"applications.":[165]},"counts_by_year":[],"updated_date":"2026-01-08T20:05:33.558190","created_date":"2025-10-28T00:00:00"}
