{"id":"https://openalex.org/W7138865614","doi":"https://doi.org/10.1109/globecom59602.2025.11432519","title":"Adaptive Multiple Access and Service Placement for Generative Diffusion Models","display_name":"Adaptive Multiple Access and Service Placement for Generative Diffusion Models","publication_year":2025,"publication_date":"2025-12-08","ids":{"openalex":"https://openalex.org/W7138865614","doi":"https://doi.org/10.1109/globecom59602.2025.11432519"},"language":null,"primary_location":{"id":"doi:10.1109/globecom59602.2025.11432519","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom59602.2025.11432519","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2025 - 2025 IEEE Global Communications Conference","raw_type":"proceedings-article"},"type":"conference-paper","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":"Hamidreza Mazandarani","orcid":null},"institutions":[{"id":"https://openalex.org/I904495901","display_name":"Ruhr University Bochum","ror":"https://ror.org/04tsk2644","country_code":"DE","type":"education","lineage":["https://openalex.org/I904495901"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Hamidreza Mazandarani","raw_affiliation_strings":["Ruhr University Bochum,Bochum,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ruhr University Bochum,Bochum,Germany","institution_ids":["https://openalex.org/I904495901"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Mohammad Farhoudi","orcid":null},"institutions":[{"id":"https://openalex.org/I98381234","display_name":"University of Oulu","ror":"https://ror.org/03yj89h83","country_code":"FI","type":"education","lineage":["https://openalex.org/I98381234"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Mohammad Farhoudi","raw_affiliation_strings":["Oulu University,Oulu,Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Oulu University,Oulu,Finland","institution_ids":["https://openalex.org/I98381234"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Masoud Shokrnezhad","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Masoud Shokrnezhad","raw_affiliation_strings":["ICTFICIAL Oy,Espoo,Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ICTFICIAL Oy,Espoo,Finland","institution_ids":[]}]},{"author_position":"last","author":{"id":null,"display_name":"Tarik Taleb","orcid":null},"institutions":[{"id":"https://openalex.org/I904495901","display_name":"Ruhr University Bochum","ror":"https://ror.org/04tsk2644","country_code":"DE","type":"education","lineage":["https://openalex.org/I904495901"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Tarik Taleb","raw_affiliation_strings":["Ruhr University Bochum,Bochum,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ruhr University Bochum,Bochum,Germany","institution_ids":["https://openalex.org/I904495901"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.9814,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.90884778,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"5332","last_page":"5338"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10714","display_name":"Software-Defined Networks and 5G","score":0.15600000321865082,"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/T10714","display_name":"Software-Defined Networks and 5G","score":0.15600000321865082,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.12950000166893005,"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/T13918","display_name":"Advanced Data and IoT Technologies","score":0.11129999905824661,"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/scalability","display_name":"Scalability","score":0.636900007724762},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4772999882698059},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.42899999022483826},{"id":"https://openalex.org/keywords/service","display_name":"Service (business)","score":0.41130000352859497},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.41100001335144043},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.39879998564720154},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.3887999951839447},{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.3840000033378601},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.37450000643730164}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7986999750137329},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.6473000049591064},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.636900007724762},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4772999882698059},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.42899999022483826},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.41130000352859497},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.41100001335144043},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.39879998564720154},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.3887999951839447},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.3840000033378601},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37610000371932983},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.37450000643730164},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.37220001220703125},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.36910000443458557},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.35679998993873596},{"id":"https://openalex.org/C46637626","wikidata":"https://www.wikidata.org/wiki/Q6693015","display_name":"Low latency (capital markets)","level":2,"score":0.35499998927116394},{"id":"https://openalex.org/C48209547","wikidata":"https://www.wikidata.org/wiki/Q1331104","display_name":"Controllability","level":2,"score":0.32499998807907104},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32440000772476196},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.3158000111579895},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3140999972820282},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.3041999936103821},{"id":"https://openalex.org/C106189395","wikidata":"https://www.wikidata.org/wiki/Q176789","display_name":"Markov decision process","level":3,"score":0.2962999939918518},{"id":"https://openalex.org/C2776061582","wikidata":"https://www.wikidata.org/wiki/Q25325231","display_name":"Mobile edge computing","level":3,"score":0.2897000014781952},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.28790000081062317},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.27549999952316284},{"id":"https://openalex.org/C527821871","wikidata":"https://www.wikidata.org/wiki/Q228502","display_name":"Access control","level":2,"score":0.2728999853134155},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.27090001106262207},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.2567000091075897},{"id":"https://openalex.org/C35578498","wikidata":"https://www.wikidata.org/wiki/Q193424","display_name":"Web service","level":2,"score":0.2554999887943268},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.250900000333786}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/globecom59602.2025.11432519","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom59602.2025.11432519","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2025 - 2025 IEEE Global Communications Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320328501","display_name":"Business Finland","ror":"https://ror.org/05bgf9v38"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W4213425359","https://openalex.org/W4387412871","https://openalex.org/W4388107615","https://openalex.org/W4391468387","https://openalex.org/W4392152850","https://openalex.org/W4396782906","https://openalex.org/W4396817538","https://openalex.org/W4399282665","https://openalex.org/W4400228901","https://openalex.org/W4400277610","https://openalex.org/W4401306811","https://openalex.org/W4405488026","https://openalex.org/W4405718148","https://openalex.org/W4405778578","https://openalex.org/W4405800317","https://openalex.org/W4406610547","https://openalex.org/W4406890562","https://openalex.org/W4408071444","https://openalex.org/W4408359306","https://openalex.org/W4409426190","https://openalex.org/W4412537509","https://openalex.org/W4412722524","https://openalex.org/W4413146115"],"related_works":[],"abstract_inverted_index":{"Generative":[0,10],"Diffusion":[1],"Models":[2],"(GDMs)":[3],"have":[4],"emerged":[5],"as":[6],"key":[7],"components":[8],"of":[9,41,97,128,136,142,161],"Artificial":[11],"Intelligence":[12],"(GenAI),":[13],"offering":[14,168],"unparalleled":[15],"expressiveness":[16],"and":[17,29,38,60,93,111,122,144,151,185],"controllability":[18],"for":[19,64,89,119,172,179],"complex":[20],"data":[21],"generation":[22],"tasks.":[23],"However,":[24],"their":[25],"deployment":[26],"in":[27,66,140,164],"real-time":[28],"mobile":[30,67],"environments":[31],"remains":[32],"challenging":[33],"due":[34],"to":[35,148],"the":[36,42,133,137,159,162,177],"iterative":[37],"resource-intensive":[39],"nature":[40],"inference":[43,98],"process.":[44],"Addressing":[45],"these":[46],"challenges,":[47],"this":[48],"paper":[49],"introduces":[50],"a":[51,73,103,109],"unified":[52],"optimization":[53],"framework":[54,139],"that":[55,78],"jointly":[56],"tackles":[57],"service":[58,116,129],"placement":[59,154],"multiple":[61,105],"access":[62,106],"control":[63],"GDMs":[65],"edge":[68,85],"networks.":[69],"We":[70],"propose":[71],"LEARN-GDM,":[72],"Deep":[74,113],"Reinforcement":[75],"Learning-based":[76],"algorithm":[77],"dynamically":[79],"partitions":[80],"denoising":[81],"blocks":[82],"across":[83,187],"heterogeneous":[84],"nodes,":[86],"while":[87],"accounting":[88],"latent":[90],"transmission":[91],"costs":[92],"enabling":[94],"adaptive":[95],"reduction":[96],"steps.":[99],"Our":[100],"approach":[101],"integrates":[102],"greedy":[104],"scheme":[107],"with":[108],"Double":[110],"Dueling":[112],"Q-Learning":[114],"(D3QL)-based":[115],"placement,":[117],"allowing":[118],"scalable,":[120],"adaptable,":[121],"resource-efficient":[123],"operation":[124],"under":[125],"stringent":[126],"quality":[127],"requirements.":[130],"Simulations":[131],"demonstrate":[132],"superior":[134],"performance":[135],"proposed":[138],"terms":[141],"scalability":[143],"latency":[145],"resilience":[146],"compared":[147],"conventional":[149],"monolithic":[150],"fixed":[152],"chain-length":[153],"strategies.":[155],"This":[156],"work":[157],"advances":[158],"state":[160],"art":[163],"edge-enabled":[165],"GenAI":[166],"by":[167],"an":[169],"adaptable":[170],"solution":[171],"GDM":[173],"services":[174],"orchestration,":[175],"paving":[176],"way":[178],"future":[180],"extensions":[181],"toward":[182],"semantic":[183],"networking":[184],"co-inference":[186],"distributed":[188],"environments.":[189]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-02-08T00:00:00"}
