{"id":"https://openalex.org/W4414539517","doi":"https://doi.org/10.1109/icc52391.2025.11161088","title":"Gradient-Based Meta Learning for Uplink RSMA with Beyond Diagonal RIS","display_name":"Gradient-Based Meta Learning for Uplink RSMA with Beyond Diagonal RIS","publication_year":2025,"publication_date":"2025-06-08","ids":{"openalex":"https://openalex.org/W4414539517","doi":"https://doi.org/10.1109/icc52391.2025.11161088"},"language":"en","primary_location":{"id":"doi:10.1109/icc52391.2025.11161088","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc52391.2025.11161088","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2025 - IEEE International Conference on Communications","raw_type":"proceedings-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/A5086363712","display_name":"Shreya Khisa","orcid":"https://orcid.org/0000-0003-2854-0722"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Shreya Khisa","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5094001527","display_name":"Ali Amhaz","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ali Amhaz","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059101599","display_name":"Mohamed Elhattab","orcid":"https://orcid.org/0000-0001-7682-9972"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mohamed Elhattab","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072393948","display_name":"Chadi Assi","orcid":"https://orcid.org/0000-0002-3161-1846"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chadi Assi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5071725114","display_name":"Sanaa Sharafeddine","orcid":"https://orcid.org/0000-0001-6548-1624"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sanaa Sharafeddine","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5086363712"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.9018,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.88118521,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1869","last_page":"1874"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9839000105857849,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9839000105857849,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9277999997138977,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T13731","display_name":"Advanced Computing and Algorithms","score":0.9193000197410583,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/telecommunications-link","display_name":"Telecommunications link","score":0.6940000057220459},{"id":"https://openalex.org/keywords/diagonal","display_name":"Diagonal","score":0.6425999999046326},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.6064000129699707},{"id":"https://openalex.org/keywords/beamforming","display_name":"Beamforming","score":0.5936999917030334},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.5335000157356262},{"id":"https://openalex.org/keywords/base-station","display_name":"Base station","score":0.46380001306533813},{"id":"https://openalex.org/keywords/meta-learning","display_name":"Meta learning (computer science)","score":0.4169999957084656},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.41449999809265137}],"concepts":[{"id":"https://openalex.org/C138660444","wikidata":"https://www.wikidata.org/wiki/Q5607897","display_name":"Telecommunications link","level":2,"score":0.6940000057220459},{"id":"https://openalex.org/C130367717","wikidata":"https://www.wikidata.org/wiki/Q189791","display_name":"Diagonal","level":2,"score":0.6425999999046326},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6144999861717224},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6144000291824341},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.6064000129699707},{"id":"https://openalex.org/C54197355","wikidata":"https://www.wikidata.org/wiki/Q5782992","display_name":"Beamforming","level":2,"score":0.5936999917030334},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.5335000157356262},{"id":"https://openalex.org/C68649174","wikidata":"https://www.wikidata.org/wiki/Q1379116","display_name":"Base station","level":2,"score":0.46380001306533813},{"id":"https://openalex.org/C2781002164","wikidata":"https://www.wikidata.org/wiki/Q6822311","display_name":"Meta learning (computer science)","level":3,"score":0.4169999957084656},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.41449999809265137},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.4097999930381775},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.37959998846054077},{"id":"https://openalex.org/C86610423","wikidata":"https://www.wikidata.org/wiki/Q1925081","display_name":"Metamodeling","level":2,"score":0.3472999930381775},{"id":"https://openalex.org/C113313756","wikidata":"https://www.wikidata.org/wiki/Q332791","display_name":"Diagonal matrix","level":3,"score":0.32179999351501465},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.31929999589920044},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.30809998512268066},{"id":"https://openalex.org/C55660270","wikidata":"https://www.wikidata.org/wiki/Q5164377","display_name":"Constrained optimization","level":2,"score":0.3075000047683716},{"id":"https://openalex.org/C193254401","wikidata":"https://www.wikidata.org/wiki/Q2160088","display_name":"Robust optimization","level":2,"score":0.2946000099182129},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.2935999929904938},{"id":"https://openalex.org/C164752517","wikidata":"https://www.wikidata.org/wiki/Q5570875","display_name":"Global optimization","level":2,"score":0.29159998893737793},{"id":"https://openalex.org/C168292644","wikidata":"https://www.wikidata.org/wiki/Q10860336","display_name":"Power optimization","level":4,"score":0.28360000252723694},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.2750000059604645},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.25940001010894775},{"id":"https://openalex.org/C2987595161","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Optimization algorithm","level":2,"score":0.2558000087738037}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc52391.2025.11161088","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc52391.2025.11161088","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2025 - IEEE International Conference on Communications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2975471211","https://openalex.org/W3016981818","https://openalex.org/W3159402647","https://openalex.org/W4210265506","https://openalex.org/W4286374925","https://openalex.org/W4312879451","https://openalex.org/W4322576964","https://openalex.org/W4367277145","https://openalex.org/W4381198702","https://openalex.org/W4384112333","https://openalex.org/W4388624562","https://openalex.org/W4389925694","https://openalex.org/W4390533935","https://openalex.org/W4391096373","https://openalex.org/W4391559555","https://openalex.org/W4391942382","https://openalex.org/W4402159261"],"related_works":[],"abstract_inverted_index":{"Beyond":[0],"diagonal":[1],"reconfigurable":[2],"intelligent":[3],"surface":[4],"(BD-RIS)":[5],"has":[6],"emerged":[7],"as":[8],"an":[9],"innovative":[10],"and":[11,22,76,122],"generalized":[12],"RIS":[13,147],"framework":[14,149],"that":[15,139],"provides":[16],"greater":[17],"flexibility":[18],"in":[19,58,129],"wave":[20],"manipulation":[21],"enhanced":[23],"coverage.":[24],"In":[25],"comparison":[26],"to":[27,37,79,87,95],"conventional":[28,146],"RIS,":[29],"optimization":[30,42,48,51,55,82,108],"of":[31,41,49,92,98,109,120,125],"BD-RIS":[32,121],"is":[33,77,102],"more":[34],"challenging":[35],"due":[36],"the":[38,85,89,93,96,103,114,145],"large":[39],"number":[40],"variables":[43],"associated":[44],"with":[45],"it.":[46],"Typically,":[47],"large-scale":[50],"problems":[52],"utilizing":[53],"traditional":[54],"methods":[56],"results":[57,137],"high":[59],"complexity.":[60],"To":[61],"tackle":[62],"this":[63,101],"issue,":[64],"we":[65],"propose":[66],"a":[67],"gradient-based":[68],"meta":[69],"learning":[70],"algorithm":[71],"which":[72],"works":[73],"without":[74],"pre-training":[75],"able":[78],"solve":[80],"largescale":[81],"problems.":[83],"With":[84],"objective":[86],"maximize":[88],"sum":[90],"rate":[91],"system,":[94],"best":[97],"our":[99,140],"knowledge,":[100],"first":[104],"work":[105],"considering":[106],"joint":[107],"receiving":[110],"beamforming":[111],"vectors":[112],"at":[113],"base":[115],"station":[116],"(BS),":[117],"scattering":[118],"matrix":[119],"transmission":[123],"power":[124],"users":[126],"equipment":[127],"(UEs)":[128],"uplink":[130],"rate-splitting":[131],"multiple":[132],"access":[133],"(RSMA)":[134],"communication.":[135],"Numerical":[136],"demonstrate":[138],"proposed":[141],"scheme":[142],"can":[143],"outperform":[144],"RSMA":[148],"by":[150],"22.5":[151],"%.":[152]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-10T00:00:00"}