{"id":"https://openalex.org/W4413876890","doi":"https://doi.org/10.1145/3765519","title":"MEAN: Mixture-of-Experts Neural Receiver - Architecture and Performance Analysis","display_name":"MEAN: Mixture-of-Experts Neural Receiver - Architecture and Performance Analysis","publication_year":2025,"publication_date":"2025-09-01","ids":{"openalex":"https://openalex.org/W4413876890","doi":"https://doi.org/10.1145/3765519"},"language":"en","primary_location":{"id":"doi:10.1145/3765519","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3765519","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3765519","source":{"id":"https://openalex.org/S136160450","display_name":"ACM Transactions on Embedded Computing Systems","issn_l":"1539-9087","issn":["1539-9087","1558-3465"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Embedded Computing Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3765519","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5114547694","display_name":"Bram Van Bolderik","orcid":null},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Bram van Bolderik","raw_affiliation_strings":["Electronic systems, Eindhoven University of Technology"],"raw_orcid":"https://orcid.org/0009-0002-5393-2031","affiliations":[{"raw_affiliation_string":"Electronic systems, Eindhoven University of Technology","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034523015","display_name":"Vlado Menkovski","orcid":"https://orcid.org/0000-0001-5262-0605"},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Vlado Menkovski","raw_affiliation_strings":["Electronic systems, Eindhoven University of Technology"],"raw_orcid":"https://orcid.org/0000-0001-5262-0605","affiliations":[{"raw_affiliation_string":"Electronic systems, Eindhoven University of Technology","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083310528","display_name":"Sonia Heemstra de Groot","orcid":"https://orcid.org/0000-0003-2270-727X"},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Sonia Heemstra de Groot","raw_affiliation_strings":["Electronic systems, Eindhoven University of Technology"],"raw_orcid":"https://orcid.org/0000-0003-2270-727X","affiliations":[{"raw_affiliation_string":"Electronic systems, Eindhoven University of Technology","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086060203","display_name":"Manil Dev Gomony","orcid":"https://orcid.org/0000-0002-5889-0785"},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Manil Dev Gomony","raw_affiliation_strings":["Electronic systems, Eindhoven University of Technology"],"raw_orcid":"https://orcid.org/0000-0002-5889-0785","affiliations":[{"raw_affiliation_string":"Electronic systems, Eindhoven University of Technology","institution_ids":["https://openalex.org/I83019370"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I83019370"],"apc_list":null,"apc_paid":null,"fwci":3.9127,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.93697441,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"25","issue":"3","first_page":"1","last_page":"23"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9980000257492065,"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/T10320","display_name":"Neural Networks and Applications","score":0.9980000257492065,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/architecture","display_name":"Architecture","score":0.5120125412940979},{"id":"https://openalex.org/keywords/receiver-operating-characteristic","display_name":"Receiver operating characteristic","score":0.46531298756599426},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.41941478848457336},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34981316328048706},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.20360839366912842},{"id":"https://openalex.org/keywords/history","display_name":"History","score":0.1631980836391449},{"id":"https://openalex.org/keywords/archaeology","display_name":"Archaeology","score":0.07199543714523315}],"concepts":[{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.5120125412940979},{"id":"https://openalex.org/C58471807","wikidata":"https://www.wikidata.org/wiki/Q327120","display_name":"Receiver operating characteristic","level":2,"score":0.46531298756599426},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.41941478848457336},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34981316328048706},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.20360839366912842},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.1631980836391449},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.07199543714523315}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3765519","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3765519","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3765519","source":{"id":"https://openalex.org/S136160450","display_name":"ACM Transactions on Embedded Computing Systems","issn_l":"1539-9087","issn":["1539-9087","1558-3465"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Embedded Computing Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3765519","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3765519","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3765519","source":{"id":"https://openalex.org/S136160450","display_name":"ACM Transactions on Embedded Computing Systems","issn_l":"1539-9087","issn":["1539-9087","1558-3465"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Embedded Computing Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4413876890.pdf","grobid_xml":"https://content.openalex.org/works/W4413876890.grobid-xml"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W2150884987","https://openalex.org/W2513568085","https://openalex.org/W2809290718","https://openalex.org/W2940862705","https://openalex.org/W2963393494","https://openalex.org/W2979644612","https://openalex.org/W2980612010","https://openalex.org/W3011944543","https://openalex.org/W3132942233","https://openalex.org/W3135807226","https://openalex.org/W3153174751","https://openalex.org/W3192336523","https://openalex.org/W3194939904","https://openalex.org/W3204647170","https://openalex.org/W4288083528","https://openalex.org/W4293025067","https://openalex.org/W4379115849"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4385649027","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4400094315","https://openalex.org/W4396701345","https://openalex.org/W2376932109"],"abstract_inverted_index":{"Neural":[0,60],"network-based":[1],"wireless":[2,279],"receivers,":[3,16],"also":[4],"known":[5],"as":[6],"neural":[7,39,50,108,305],"receivers":[8,40,51],",":[9],"have":[10],"demonstrated":[11],"superior":[12],"performance":[13,185],"over":[14,233],"traditional":[15],"but":[17],"come":[18],"with":[19,289],"greater":[20],"computational":[21,66,96],"complexity.":[22,97,145],"The":[23,111,146,251,268],"need":[24],"to":[25,41,52,93,117,129,143,211,300],"use":[26,118],"these":[27],"networks":[28,124],"on":[29,158,178],"energy-conscious":[30],"edge":[31],"devices":[32],"is":[33,116,253],"increasing,":[34],"necessitating":[35],"energy-efficient":[36],"and":[37,68,82,193,265],"adaptive":[38],"function":[42,205],"well":[43],"under":[44],"varying":[45,85],"channel":[46,86,180],"conditions.":[47,181],"Transitioning":[48],"static":[49,304],"dynamic":[53],"models":[54],"using":[55,255],"the":[56,77,84,95,135,139,150,169,208,213],"concepts":[57],"of":[58,149,187,198,215,240,244,302],"Dynamic":[59],"Networks":[61],"(DyNN)":[62],"could":[63,72],"reduce":[64,94,144],"runtime":[65],"complexity":[67,227],"energy":[69],"consumption.":[70],"This":[71,98,222],"be":[73],"achieved":[74],"by":[75],"adapting":[76],"network":[78,132,210,226],"architecture":[79,156,271],"during":[80,127,201],"run-time":[81,128],"exploit":[83],"conditions":[87],"in":[88,218,247,285,294],"a":[89,102,131,241,256,273,282,303],"mobile":[90],"communication":[91],"system":[92,280],"work":[99],"introduces":[100],"MEAN,":[101],"novel":[103],"hard-gated":[104,163],"Mixture-of-Experts":[105],"(MOE)":[106],"based":[107,157,177],"receiver":[109],"architecture.":[110],"main":[112],"idea":[113],"behind":[114],"MEAN":[115,155,188,235,245,270],"several":[119],"smaller":[120],"Signal-to-Noise-Ratio":[121],"(SNR)":[122],"expert":[123,137,172,199,230],"are":[125],"used":[126],"create":[130],"that":[133,166,301],"selects":[134,168],"correct":[136],"for":[138,173,207,272],"current":[140,179],"data":[141],"input":[142,175],"paper":[147],"consists":[148],"following":[151],"key":[152],"contributions.":[153],"(1)":[154],"[":[159],"25":[160],"]:":[161],"A":[162],"MoE":[164],"model":[165],"dynamically":[167,176],"most":[170],"suitable":[171],"each":[174],"(2)":[182],"Comprehensive":[183],"system-level":[184],"analysis":[186,239],"across":[189],"different":[190],"code":[191],"rates":[192],"modulation":[194],"schemes,":[195],"including":[196],"validation":[197],"selection":[200,231],"inference.":[202],"(3)":[203],"Loss":[204],"optimization":[206],"gating":[209,225],"promote":[212],"activation":[214],"specific":[216],"experts":[217],"designated":[219],"noise":[220],"regions.":[221],"enhancement":[223],"reduces":[224],"while":[228,296],"improving":[229],"accuracy":[232,298],"previous":[234],"implementations.":[236],"(4)":[237],"Hardware":[238],"gate-level":[242],"implementation":[243],"synthesized":[246],"22nm":[248],"FD-SOI":[249],"technology.":[250],"design":[252],"generated":[254],"custom":[257],"High-Level":[258],"Synthesis":[259],"(HLS)":[260],"framework,":[261],"providing":[262],"detailed":[263],"power":[264,287],"area":[266],"evaluations.":[267],"proposed":[269],"Single":[274],"Input":[275],"Multiple":[276],"Output":[277],"(SIMO)":[278],"achieves":[281],"37.11%":[283],"reduction":[284],"total":[286],"consumption":[288],"only":[290],"an":[291],"11.04%":[292],"increase":[293],"area,":[295],"maintaining":[297],"comparable":[299],"network.":[306]},"counts_by_year":[{"year":2026,"cited_by_count":3}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}