{"id":"https://openalex.org/W4409883096","doi":"https://doi.org/10.1109/tcomm.2025.3564727","title":"Collaborative Inference in RIS-Assisted MEC Networks Under Computing Backlog Constraints","display_name":"Collaborative Inference in RIS-Assisted MEC Networks Under Computing Backlog Constraints","publication_year":2025,"publication_date":"2025-04-28","ids":{"openalex":"https://openalex.org/W4409883096","doi":"https://doi.org/10.1109/tcomm.2025.3564727"},"language":"en","primary_location":{"id":"doi:10.1109/tcomm.2025.3564727","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcomm.2025.3564727","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":"https://openalex.org/A5115501025","display_name":"Yang Yang","orcid":"https://orcid.org/0009-0006-0703-3798"},"institutions":[{"id":"https://openalex.org/I70983195","display_name":"Syracuse University","ror":"https://ror.org/025r5qe02","country_code":"US","type":"education","lineage":["https://openalex.org/I70983195"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yang Yang","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY, USA"],"raw_orcid":"https://orcid.org/0009-0006-0703-3798","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY, USA","institution_ids":["https://openalex.org/I70983195"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076753154","display_name":"M. Cenk Gursoy","orcid":"https://orcid.org/0000-0002-7352-1013"},"institutions":[{"id":"https://openalex.org/I70983195","display_name":"Syracuse University","ror":"https://ror.org/025r5qe02","country_code":"US","type":"education","lineage":["https://openalex.org/I70983195"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"M. Cenk Gursoy","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY, USA"],"raw_orcid":"https://orcid.org/0000-0002-7352-1013","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY, USA","institution_ids":["https://openalex.org/I70983195"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I70983195"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08074765,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"73","issue":"11","first_page":"10172","last_page":"10185"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10829","display_name":"Interconnection Networks and Systems","score":0.9833999872207642,"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"}},"topics":[{"id":"https://openalex.org/T10829","display_name":"Interconnection Networks and Systems","score":0.9833999872207642,"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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9746000170707703,"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/T13052","display_name":"Molecular Communication and Nanonetworks","score":0.973800003528595,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/inference","display_name":"Inference","score":0.6743721961975098},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5967432260513306},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3943212032318115},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.32854774594306946},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23168721795082092}],"concepts":[{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6743721961975098},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5967432260513306},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3943212032318115},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.32854774594306946},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23168721795082092}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcomm.2025.3564727","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcomm.2025.3564727","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/G733917873","display_name":null,"funder_award_id":"CNS-2221875","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2400861403","https://openalex.org/W2461301363","https://openalex.org/W2624989916","https://openalex.org/W2891354184","https://openalex.org/W2962804345","https://openalex.org/W2962814013","https://openalex.org/W2969424089","https://openalex.org/W2993781509","https://openalex.org/W3035049807","https://openalex.org/W3043220753","https://openalex.org/W3047565185","https://openalex.org/W3059280052","https://openalex.org/W3084432478","https://openalex.org/W3129486236","https://openalex.org/W3174911677","https://openalex.org/W4225737845","https://openalex.org/W4226061238","https://openalex.org/W4301852635","https://openalex.org/W4313144683","https://openalex.org/W4377971462","https://openalex.org/W4387870353"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"In":[0,21],"this":[1],"paper,":[2],"we":[3,23],"analyze":[4],"collaborative":[5,30],"inference":[6,31],"in":[7,88],"a":[8,16,53,67,74],"mobile":[9],"edge":[10],"computing":[11,56,176],"(MEC)":[12],"network":[13,104],"aided":[14],"by":[15],"reconfigurable":[17],"intelligent":[18],"surface":[19],"(RIS).":[20],"particular,":[22],"consider":[24],"multiple":[25],"user":[26],"equipments":[27],"(UEs)":[28],"with":[29],"tasks":[32],"that":[33,128,151],"require":[34],"the":[35,46,63,89,95,100,113,119,129,133,137,141,159,164,172],"execution":[36],"of":[37],"deep":[38,75,102],"neural":[39,103],"networks.":[40],"The":[41],"goal":[42],"is":[43,86,126,149],"to":[44,52,80,92],"minimize":[45],"long-term":[47,54,142],"average":[48,55,143],"energy":[49,144,173],"consumption":[50,145,174],"subject":[51],"queue":[57],"backlog":[58,177],"constraint.":[59],"We":[60],"first":[61],"transform":[62],"considered":[64],"problem":[65,70,134],"into":[66],"Lyapunov":[68],"optimization":[69,84],"and":[71,108,136,158,175],"then":[72],"propose":[73],"reinforcement":[76],"learning":[77],"(DRL)-based":[78],"algorithm":[79,91,131],"solve":[81],"it.":[82],"An":[83],"subroutine":[85],"embedded":[87],"proposed":[90,130],"directly":[93],"obtain":[94],"optimal":[96],"RIS":[97,139],"coefficients,":[98],"while":[99],"UEs\u2019":[101],"(DNN)":[105],"partition":[106],"decisions":[107],"computational":[109],"resource":[110],"allocations":[111],"at":[112,163],"MEC":[114,165],"server":[115],"are":[116],"obtained":[117],"from":[118],"DRL-based":[120],"algorithm.":[121],"Via":[122],"numerical":[123],"results,":[124],"it":[125,148],"shown":[127],"solves":[132],"efficiently,":[135],"introduced":[138],"improves":[140],"significantly.":[146],"Furthermore,":[147],"demonstrated":[150],"system":[152],"parameters":[153],"(such":[154],"as":[155],"communication":[156],"bandwidth":[157],"maximum":[160],"CPU":[161],"frequency":[162],"server)":[166],"can":[167],"have":[168],"significant":[169],"impact":[170],"on":[171],"levels.":[178]},"counts_by_year":[],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}