{"id":"https://openalex.org/W7130565224","doi":"https://doi.org/10.1109/tvt.2026.3666220","title":"Model-Based Decentralized Joint Optimization of Resource Allocation, Phase Shift, and UAV Trajectory for Energy-Efficient RIS Assisted UAV-MEC Systems","display_name":"Model-Based Decentralized Joint Optimization of Resource Allocation, Phase Shift, and UAV Trajectory for Energy-Efficient RIS Assisted UAV-MEC Systems","publication_year":2026,"publication_date":"2026-02-19","ids":{"openalex":"https://openalex.org/W7130565224","doi":"https://doi.org/10.1109/tvt.2026.3666220"},"language":null,"primary_location":{"id":"doi:10.1109/tvt.2026.3666220","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2026.3666220","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Vehicular Technology","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/A5065833216","display_name":"Liangshun Wu","orcid":"https://orcid.org/0000-0001-6183-4680"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liangshun Wu","raw_affiliation_strings":["School of Communications and Information Engineering, Xi'an University of Posts and Telecommunications, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0001-6183-4680","affiliations":[{"raw_affiliation_string":"School of Communications and Information Engineering, Xi'an University of Posts and Telecommunications, Xi'an, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126427296","display_name":"Tao Tao","orcid":null},"institutions":[{"id":"https://openalex.org/I11381156","display_name":"Osaka Gakuin University","ror":"https://ror.org/04a8t1e98","country_code":"JP","type":"education","lineage":["https://openalex.org/I11381156"]},{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tao Tao","raw_affiliation_strings":["Department of Information and Computer Sciences, University of Osaka, Suita, Japan"],"raw_orcid":"https://orcid.org/0009-0009-7398-2731","affiliations":[{"raw_affiliation_string":"Department of Information and Computer Sciences, University of Osaka, Suita, Japan","institution_ids":["https://openalex.org/I11381156","https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067734768","display_name":"Bin Zhang","orcid":"https://orcid.org/0000-0003-2511-5843"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Bin Zhang","raw_affiliation_strings":["City University of Hong Kong, Hong Kong, SAR, China"],"raw_orcid":"https://orcid.org/0000-0003-2511-5843","affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong, SAR, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126437170","display_name":"Jianbo Du","orcid":null},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianbo Du","raw_affiliation_strings":["Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-0845-4942","affiliations":[{"raw_affiliation_string":"Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5126437170","display_name":"Jianbo Du","orcid":null},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junsuo Qu","raw_affiliation_strings":["Xi'an Key Laboratory of Advanced Control and Intelligent Process, School of Automation, Xi'an University of Posts and Telecommunications, Xi'an, China"],"raw_orcid":"https://orcid.org/0009-0000-6247-1412","affiliations":[{"raw_affiliation_string":"Xi'an Key Laboratory of Advanced Control and Intelligent Process, School of Automation, Xi'an University of Posts and Telecommunications, Xi'an, China","institution_ids":["https://openalex.org/I4210136859"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":13.5012,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.9695986,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"75","issue":"7","first_page":"15009","last_page":"15022"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11133","display_name":"UAV Applications and Optimization","score":0.7444000244140625,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11133","display_name":"UAV Applications and Optimization","score":0.7444000244140625,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.19269999861717224,"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/T11458","display_name":"Advanced Wireless Communication Technologies","score":0.016300000250339508,"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":0.6495000123977661},{"id":"https://openalex.org/keywords/resource-allocation","display_name":"Resource allocation","score":0.6446999907493591},{"id":"https://openalex.org/keywords/mobile-edge-computing","display_name":"Mobile edge computing","score":0.628600001335144},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.5713000297546387},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.5540000200271606},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.551800012588501},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5436999797821045},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.5159000158309937},{"id":"https://openalex.org/keywords/resource-management","display_name":"Resource management (computing)","score":0.5073000192642212},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.43549999594688416}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7781999707221985},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6495000123977661},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.6446999907493591},{"id":"https://openalex.org/C2776061582","wikidata":"https://www.wikidata.org/wiki/Q25325231","display_name":"Mobile edge computing","level":3,"score":0.628600001335144},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.628000020980835},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.5713000297546387},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.5540000200271606},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.551800012588501},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5436999797821045},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.5159000158309937},{"id":"https://openalex.org/C2780609101","wikidata":"https://www.wikidata.org/wiki/Q17156588","display_name":"Resource management (computing)","level":2,"score":0.5073000192642212},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.43549999594688416},{"id":"https://openalex.org/C173246807","wikidata":"https://www.wikidata.org/wiki/Q7833062","display_name":"Trajectory optimization","level":3,"score":0.43160000443458557},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.39969998598098755},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.38960000872612},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.38690000772476196},{"id":"https://openalex.org/C59519942","wikidata":"https://www.wikidata.org/wiki/Q650665","display_name":"Drone","level":2,"score":0.37929999828338623},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.37299999594688416},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.3531999886035919},{"id":"https://openalex.org/C95491727","wikidata":"https://www.wikidata.org/wiki/Q992968","display_name":"Mobile telephony","level":3,"score":0.3490000069141388},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3474999964237213},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.3402999937534332},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.33000001311302185},{"id":"https://openalex.org/C79487989","wikidata":"https://www.wikidata.org/wiki/Q934680","display_name":"Vehicle dynamics","level":2,"score":0.3100000023841858},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.3003999888896942},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.29420000314712524},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.2935999929904938},{"id":"https://openalex.org/C144543869","wikidata":"https://www.wikidata.org/wiki/Q2738570","display_name":"Mobile computing","level":2,"score":0.2930999994277954},{"id":"https://openalex.org/C114237682","wikidata":"https://www.wikidata.org/wiki/Q5072483","display_name":"Channel allocation schemes","level":3,"score":0.2874999940395355},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.27489998936653137},{"id":"https://openalex.org/C44280652","wikidata":"https://www.wikidata.org/wiki/Q104837","display_name":"Phase (matter)","level":2,"score":0.27079999446868896},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.26649999618530273},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.26579999923706055},{"id":"https://openalex.org/C145424490","wikidata":"https://www.wikidata.org/wiki/Q618465","display_name":"Remotely operated underwater vehicle","level":4,"score":0.2651999890804291},{"id":"https://openalex.org/C14961307","wikidata":"https://www.wikidata.org/wiki/Q5377176","display_name":"Energy minimization","level":2,"score":0.2623000144958496},{"id":"https://openalex.org/C2777958785","wikidata":"https://www.wikidata.org/wiki/Q17120940","display_name":"Resource efficiency","level":2,"score":0.25949999690055847},{"id":"https://openalex.org/C68649174","wikidata":"https://www.wikidata.org/wiki/Q1379116","display_name":"Base station","level":2,"score":0.25429999828338623},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.2538999915122986},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.2531999945640564}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tvt.2026.3666220","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2026.3666220","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Vehicular Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.5589942336082458}],"awards":[{"id":"https://openalex.org/G1695599340","display_name":null,"funder_award_id":"25Z670102051","funder_id":"https://openalex.org/F4320312071","funder_display_name":"Ministry of Education, Libya"},{"id":"https://openalex.org/G4600607170","display_name":null,"funder_award_id":"2026D03","funder_id":"https://openalex.org/F4320324856","funder_display_name":"Southeast University"},{"id":"https://openalex.org/G8139671815","display_name":null,"funder_award_id":"ESSCKF2024-10","funder_id":"https://openalex.org/F4320312071","funder_display_name":"Ministry of Education, Libya"}],"funders":[{"id":"https://openalex.org/F4320312071","display_name":"Ministry of Education, Libya","ror":"https://ror.org/02w030k33"},{"id":"https://openalex.org/F4320321851","display_name":"Fudan University","ror":"https://ror.org/013q1eq08"},{"id":"https://openalex.org/F4320322449","display_name":"Tongji University","ror":"https://ror.org/03rc6as71"},{"id":"https://openalex.org/F4320324856","display_name":"Southeast University","ror":"https://ror.org/04ct4d772"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1936945694","https://openalex.org/W2099618002","https://openalex.org/W2904450917","https://openalex.org/W2915117209","https://openalex.org/W3156295478","https://openalex.org/W3158900575","https://openalex.org/W3159434985","https://openalex.org/W3166015690","https://openalex.org/W3193101426","https://openalex.org/W4214497476","https://openalex.org/W4285142853","https://openalex.org/W4366779578","https://openalex.org/W4377079773","https://openalex.org/W4381327681","https://openalex.org/W4386431815","https://openalex.org/W4390669776","https://openalex.org/W4390738544","https://openalex.org/W4392397280","https://openalex.org/W4396712717","https://openalex.org/W4402194461","https://openalex.org/W4402217571","https://openalex.org/W4402265864","https://openalex.org/W4403421005","https://openalex.org/W4405717643","https://openalex.org/W4407693351","https://openalex.org/W4409014253","https://openalex.org/W4409641033","https://openalex.org/W4409723623","https://openalex.org/W4409796074","https://openalex.org/W4410357147","https://openalex.org/W4410358454","https://openalex.org/W4414538855","https://openalex.org/W4416352685"],"related_works":[],"abstract_inverted_index":{"Mobile":[0],"Edge":[1],"Computing":[2],"(MEC)":[3],"enables":[4],"low-latency,":[5],"energy-efficient":[6],"offloading":[7],"in":[8,21,69,136],"next-generation":[9],"wireless":[10],"networks,":[11],"but":[12],"its":[13],"performance":[14],"degrades":[15],"when":[16],"direct":[17],"links":[18],"are":[19],"blocked":[20],"dense":[22],"urban":[23],"areas.":[24],"To":[25,73],"address":[26],"this,":[27],"recent":[28],"studies":[29],"integrate":[30],"Unmanned":[31],"Aerial":[32],"Vehicles":[33],"(UAVs)":[34],"and":[35,43,48,62,98,105,124,138,143,150],"Reconfigurable":[36],"Intelligent":[37],"Surfaces":[38],"(RIS)":[39],"to":[40],"enhance":[41],"coverage":[42],"efficiency":[44,140],"through":[45],"UAV":[46,91],"mobility":[47],"RIS-assisted":[49],"virtual":[50],"line-of-sight":[51],"paths.":[52],"However,":[53],"existing":[54],"centralized":[55,142],"optimization":[56],"approaches":[57],"suffer":[58],"from":[59],"high":[60],"complexity":[61],"communication":[63],"overhead,":[64],"making":[65],"real-time":[66],"coordination":[67],"difficult":[68],"dynamic":[70],"multi-UAV":[71],"settings.":[72],"overcome":[74],"these":[75],"challenges,":[76],"we":[77],"propose":[78],"a":[79],"decentralized,":[80],"model-based":[81],"reinforcement":[82],"learning":[83,126],"(RL)":[84],"framework":[85],"for":[86,156],"UAV-RIS-MEC":[87],"systems,":[88],"where":[89],"each":[90],"learns":[92],"trajectory,":[93],"RIS":[94],"configuration,":[95],"task":[96],"offloading,":[97],"resource":[99],"allocation":[100],"policies":[101],"using":[102],"local":[103],"observations":[104],"limited$\\kappa$-hop":[106],"neighbor":[107],"communication.":[108],"By":[109],"employing":[110],"short-horizon":[111],"branched":[112],"rollouts":[113],"with":[114,127],"Proximal":[115],"Policy":[116],"Optimization":[117],"(PPO),":[118],"the":[119,148,153],"proposed":[120,154],"method":[121],"achieves":[122],"stable":[123],"sample-efficient":[125],"theoretical":[128],"convergence":[129],"guarantees.":[130],"Simulation":[131],"results":[132],"show":[133],"notable":[134],"gains":[135],"throughput":[137],"energy":[139],"over":[141],"conventional":[144],"decentralized":[145],"baselines,":[146],"demonstrating":[147],"effectiveness":[149],"scalability":[151],"of":[152],"approach":[155],"future":[157],"MEC":[158],"deployments.":[159]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-31T08:31:51.225901","created_date":"2026-02-20T00:00:00"}