{"id":"https://openalex.org/W7128307085","doi":"https://doi.org/10.1109/tcomm.2026.3662093","title":"Dynamic Multi-Layer Aerial System for Latent Diffusion-Based Generative AI Inference at the Edge","display_name":"Dynamic Multi-Layer Aerial System for Latent Diffusion-Based Generative AI Inference at the Edge","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7128307085","doi":"https://doi.org/10.1109/tcomm.2026.3662093"},"language":"en","primary_location":{"id":"doi:10.1109/tcomm.2026.3662093","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcomm.2026.3662093","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/A5120591802","display_name":"Dao Quang Hiep","orcid":null},"institutions":[{"id":"https://openalex.org/I4210124651","display_name":"Phenikaa University","ror":"https://ror.org/03anxx281","country_code":"VN","type":"education","lineage":["https://openalex.org/I4210124651"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Dao Quang Hiep","raw_affiliation_strings":["Phenikaa School of Computing, Phenikaa University, Hanoi, Vietnam"],"raw_orcid":"https://orcid.org/0009-0002-0590-5389","affiliations":[{"raw_affiliation_string":"Phenikaa School of Computing, Phenikaa University, Hanoi, Vietnam","institution_ids":["https://openalex.org/I4210124651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125357926","display_name":"Nguyen Cong Luong","orcid":null},"institutions":[{"id":"https://openalex.org/I4210124651","display_name":"Phenikaa University","ror":"https://ror.org/03anxx281","country_code":"VN","type":"education","lineage":["https://openalex.org/I4210124651"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Nguyen Cong Luong","raw_affiliation_strings":["Phenikaa School of Computing, Phenikaa University, Hanoi, Vietnam"],"raw_orcid":"https://orcid.org/0000-0002-4299-3456","affiliations":[{"raw_affiliation_string":"Phenikaa School of Computing, Phenikaa University, Hanoi, Vietnam","institution_ids":["https://openalex.org/I4210124651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038275002","display_name":"Shimin. Gong","orcid":null},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shimin Gong","raw_affiliation_strings":["School of Intelligent Systems Engineering, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-4874-8766","affiliations":[{"raw_affiliation_string":"School of Intelligent Systems Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125343889","display_name":"Xingwang Li","orcid":null},"institutions":[{"id":"https://openalex.org/I4210166499","display_name":"Henan Polytechnic University","ror":"https://ror.org/05vr1c885","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210166499"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingwang Li","raw_affiliation_strings":["School of Physics and Electronic Information Engineering, Henan Polytechnic University, Jiaozuo, China"],"raw_orcid":"https://orcid.org/0000-0002-0907-6517","affiliations":[{"raw_affiliation_string":"School of Physics and Electronic Information Engineering, Henan Polytechnic University, Jiaozuo, China","institution_ids":["https://openalex.org/I4210166499"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125366386","display_name":"Ngoc Hung Nguyen","orcid":null},"institutions":[{"id":"https://openalex.org/I187531555","display_name":"Lund University","ror":"https://ror.org/012a77v79","country_code":"SE","type":"education","lineage":["https://openalex.org/I187531555"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Ngoc Hung Nguyen","raw_affiliation_strings":["Department of Electrical and Information Technology, Faculty of Engineering (LTH), Lund University, Lund, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Information Technology, Faculty of Engineering (LTH), Lund University, Lund, Sweden","institution_ids":["https://openalex.org/I187531555"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123197187","display_name":"Dusit Niyato","orcid":null},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Dusit Niyato","raw_affiliation_strings":["College of Computing and Data Science, Nanyang Technological University, Jurong West, Singapore"],"raw_orcid":"https://orcid.org/0000-0002-7442-7416","affiliations":[{"raw_affiliation_string":"College of Computing and Data Science, Nanyang Technological University, Jurong West, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5125355771","display_name":"Dong In Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Dong In Kim","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon, South Korea"],"raw_orcid":"https://orcid.org/0000-0001-7711-8072","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon, South Korea","institution_ids":["https://openalex.org/I848706"]}]}],"institutions":[],"countries_distinct_count":5,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12698448,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"74","issue":null,"first_page":"4461","last_page":"4476"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.14820000529289246,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11448","display_name":"Face recognition and analysis","score":0.14820000529289246,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.1371999979019165,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.12919999659061432,"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/inference","display_name":"Inference","score":0.5530999898910522},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5109999775886536},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4772000014781952},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.40149998664855957},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.3831000030040741},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.3734000027179718}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6694999933242798},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6679999828338623},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5530999898910522},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5109999775886536},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4772000014781952},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.40149998664855957},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.3831000030040741},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.3734000027179718},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3691999912261963},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.29120001196861267},{"id":"https://openalex.org/C2776429412","wikidata":"https://www.wikidata.org/wiki/Q4688011","display_name":"Aerial image","level":3,"score":0.27399998903274536},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2669000029563904},{"id":"https://openalex.org/C2987819851","wikidata":"https://www.wikidata.org/wiki/Q191839","display_name":"Aerial imagery","level":2,"score":0.25600001215934753},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.25380000472068787}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tcomm.2026.3662093","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcomm.2026.3662093","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"},{"id":"pmh:oai:dr.ntu.edu.sg:10356/212251","is_oa":false,"landing_page_url":"https://hdl.handle.net/10356/212251","pdf_url":null,"source":{"id":"https://openalex.org/S4306402609","display_name":"DR-NTU (Nanyang Technological University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I172675005","host_organization_name":"Nanyang Technological University","host_organization_lineage":["https://openalex.org/I172675005"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Journal Article"},{"id":"pmh:oai:lup.lub.lu.se:c2c4be10-653e-4370-9084-12bf44d8ce27","is_oa":false,"landing_page_url":"https://lup.lub.lu.se/record/c2c4be10-653e-4370-9084-12bf44d8ce27","pdf_url":null,"source":{"id":"https://openalex.org/S4306400536","display_name":"Lund University Publications (Lund University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I187531555","host_organization_name":"Lund University","host_organization_lineage":["https://openalex.org/I187531555"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISSN: 0096-1965","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"In":[0,97,243],"this":[1,98,170],"paper,":[2],"we":[3,100,180],"investigate":[4],"a":[5,26,285],"Multi-layer":[6],"Aerial":[7,43],"system":[8],"for":[9,38,52],"GenAI":[10],"inference":[11,241,256],"at":[12,70,124],"the":[13,33,50,59,63,67,71,73,78,90,95,104,109,114,119,125,131,140,153,164,189,199,206,209,220,225,245,249,268,276],"Edge":[14],"(MAGE).":[15],"Therein,":[16],"ground":[17],"user":[18],"equipments":[19],"(UEs)":[20],"request":[21],"image":[22,39,83,282],"synthesis":[23],"services":[24],"from":[25],"remote":[27],"base":[28],"station":[29],"(BS)":[30],"that":[31,186,224],"leverages":[32],"Latent":[34],"Diffusion":[35],"Model":[36],"(LDM)":[37],"generation.":[40],"Multiple":[41],"Unmanned":[42],"Vehicles":[44],"(UAVs)":[45],"are":[46],"deployed":[47],"to":[48,58,94,102,152,172,213,254,260,272,275],"serve":[49],"UEs":[51,110],"relaying":[53],"their":[54],"images":[55],"and":[56,66,85,88,127,240,267],"prompts":[57],"BS.":[60,96],"To":[61,175],"reduce":[62],"communication":[64],"cost":[65],"computation":[68],"burden":[69],"BS,":[72,126],"UAVs":[74],"can":[75],"partially":[76],"execute":[77],"LDM":[79],"inference,":[80],"i.e.,":[81],"an":[82,182],"autoencoder":[84],"prompt":[86],"encoder,":[87],"offload":[89],"diffusion":[91],"process":[92],"task":[93],"work,":[99],"aim":[101],"minimize":[103],"BRISQUE":[105,145,235,250],"scores":[106,146],"across":[107],"all":[108],"by":[111,204,252,265,270],"jointly":[112],"optimizing":[113],"UAVs'":[115,237],"positions,":[116],"UE-UAV":[117],"associations,":[118],"number":[120],"of":[121,130,157,208,234,289],"denoising":[122],"steps":[123],"offloading":[128],"strategies":[129],"UAVs.":[132],"The":[133],"optimization":[134],"problem":[135],"is":[136,202],"non-convex,":[137],"in":[138,167,196,231,280],"which":[139,162],"objective":[141],"function":[142],"based":[143,192,218],"on":[144,193,219],"has":[147],"no":[148],"closed-form":[149],"expression.":[150],"Due":[151],"fixed":[154],"exploration":[155,184,190,200],"strategy":[156,185],"Proximal":[158],"Policy":[159],"Optimization":[160],"(PPO),":[161],"limits":[163],"policy's":[165],"adaptability":[166],"dynamic":[168],"environments,":[169],"leads":[171],"sub-optimal":[173],"solutions.":[174],"address":[176],"these":[177],"potential":[178],"drawbacks,":[179],"propose":[181],"adaptive":[183],"dynamically":[187],"adjusts":[188],"rate":[191],"observed":[194],"improvements":[195],"rewards.":[197],"Specifically,":[198],"capability":[201],"controlled":[203],"modulating":[205],"influence":[207],"entropy":[210],"bonus":[211],"according":[212],"recent":[214],"reward":[215],"gains.":[216],"Simulations":[217],"COCO-Stuff":[221],"datasets":[222],"show":[223],"proposed":[226,246],"scheme":[227,247],"outperforms":[228],"baseline":[229,277],"schemes":[230],"different":[232],"terms":[233],"score,":[236],"energy":[238,257,263,293],"consumption,":[239],"latency.":[242],"particular,":[244],"reduces":[248],"score":[251],"up":[253,259,271],"20-28.57%,":[255],"consumption":[258,264],"15.98-30.17%,":[261],"transmission":[262],"15.4-18.5%,":[266],"latency":[269],"33.33-43.28%":[273],"compared":[274],"methods,":[278],"resulting":[279],"higher":[281],"quality":[283],"with":[284],"noticeably":[286],"improved":[287,292],"level":[288],"perceptual":[290],"naturalness,":[291],"efficiency,":[294],"as":[295,297],"well":[296],"substantially":[298],"faster":[299],"performance.":[300]},"counts_by_year":[],"updated_date":"2026-02-21T06:11:54.161237","created_date":"2026-02-09T00:00:00"}