{"id":"https://openalex.org/W7118490420","doi":"https://doi.org/10.1109/vtc2025-fall65116.2025.11310140","title":"Semantic-Aware Resource Allocation in MEC-Assisted SAGIN: A Deep Reinforcement Learning-based Approach","display_name":"Semantic-Aware Resource Allocation in MEC-Assisted SAGIN: A Deep Reinforcement Learning-based Approach","publication_year":2025,"publication_date":"2025-10-19","ids":{"openalex":"https://openalex.org/W7118490420","doi":"https://doi.org/10.1109/vtc2025-fall65116.2025.11310140"},"language":null,"primary_location":{"id":"doi:10.1109/vtc2025-fall65116.2025.11310140","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2025-fall65116.2025.11310140","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 102nd Vehicular Technology Conference (VTC2025-Fall)","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":"https://openalex.org/A5122013668","display_name":"Yuexin Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I4391768176","display_name":"State Key Laboratory of Media Convergence and Communication","ror":"https://ror.org/0595ys057","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391768176","https://openalex.org/I75689368"]},{"id":"https://openalex.org/I75689368","display_name":"Communication University of China","ror":"https://ror.org/04facbs33","country_code":"CN","type":"education","lineage":["https://openalex.org/I75689368"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuexin Liu","raw_affiliation_strings":["Communication University of China,State Key Laboratory of Media Convergence and Communication,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Communication University of China,State Key Laboratory of Media Convergence and Communication,Beijing,China","institution_ids":["https://openalex.org/I4391768176","https://openalex.org/I75689368"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103258353","display_name":"Fangfang Yin","orcid":"https://orcid.org/0000-0002-7602-9390"},"institutions":[{"id":"https://openalex.org/I4391768176","display_name":"State Key Laboratory of Media Convergence and Communication","ror":"https://ror.org/0595ys057","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391768176","https://openalex.org/I75689368"]},{"id":"https://openalex.org/I75689368","display_name":"Communication University of China","ror":"https://ror.org/04facbs33","country_code":"CN","type":"education","lineage":["https://openalex.org/I75689368"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fangfang Yin","raw_affiliation_strings":["Communication University of China,State Key Laboratory of Media Convergence and Communication,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Communication University of China,State Key Laboratory of Media Convergence and Communication,Beijing,China","institution_ids":["https://openalex.org/I4391768176","https://openalex.org/I75689368"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122001780","display_name":"Qihong Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I4391768176","display_name":"State Key Laboratory of Media Convergence and Communication","ror":"https://ror.org/0595ys057","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391768176","https://openalex.org/I75689368"]},{"id":"https://openalex.org/I75689368","display_name":"Communication University of China","ror":"https://ror.org/04facbs33","country_code":"CN","type":"education","lineage":["https://openalex.org/I75689368"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qihong Liu","raw_affiliation_strings":["Communication University of China,State Key Laboratory of Media Convergence and Communication,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Communication University of China,State Key Laboratory of Media Convergence and Communication,Beijing,China","institution_ids":["https://openalex.org/I4391768176","https://openalex.org/I75689368"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048802154","display_name":"Danpu Liu","orcid":"https://orcid.org/0000-0003-4296-5209"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Danpu Liu","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,Beijing Key Laboratory of Network System Architecture and Convergence,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,Beijing Key Laboratory of Network System Architecture and Convergence,Beijing,China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122010790","display_name":"Libiao Jin","orcid":null},"institutions":[{"id":"https://openalex.org/I4391768176","display_name":"State Key Laboratory of Media Convergence and Communication","ror":"https://ror.org/0595ys057","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391768176","https://openalex.org/I75689368"]},{"id":"https://openalex.org/I75689368","display_name":"Communication University of China","ror":"https://ror.org/04facbs33","country_code":"CN","type":"education","lineage":["https://openalex.org/I75689368"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Libiao Jin","raw_affiliation_strings":["Communication University of China,State Key Laboratory of Media Convergence and Communication,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Communication University of China,State Key Laboratory of Media Convergence and Communication,Beijing,China","institution_ids":["https://openalex.org/I4391768176","https://openalex.org/I75689368"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5121991912","display_name":"Shufeng Li","orcid":null},"institutions":[{"id":"https://openalex.org/I4391768176","display_name":"State Key Laboratory of Media Convergence and Communication","ror":"https://ror.org/0595ys057","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391768176","https://openalex.org/I75689368"]},{"id":"https://openalex.org/I75689368","display_name":"Communication University of China","ror":"https://ror.org/04facbs33","country_code":"CN","type":"education","lineage":["https://openalex.org/I75689368"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shufeng Li","raw_affiliation_strings":["Communication University of China,State Key Laboratory of Media Convergence and Communication,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Communication University of China,State Key Laboratory of Media Convergence and Communication,Beijing,China","institution_ids":["https://openalex.org/I4391768176","https://openalex.org/I75689368"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11133","display_name":"UAV Applications and Optimization","score":0.8407999873161316,"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":0.8407999873161316,"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":0.09440000355243683,"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/T12042","display_name":"Satellite Communication Systems","score":0.03689999878406525,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.8508999943733215},{"id":"https://openalex.org/keywords/resource-allocation","display_name":"Resource allocation","score":0.5333999991416931},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.51419997215271},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.5094000101089478},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4666999876499176},{"id":"https://openalex.org/keywords/resource-management","display_name":"Resource management (computing)","score":0.4611999988555908},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.45840001106262207},{"id":"https://openalex.org/keywords/base-station","display_name":"Base station","score":0.4523000121116638},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"Convex optimization","score":0.44179999828338623},{"id":"https://openalex.org/keywords/q-learning","display_name":"Q-learning","score":0.41130000352859497}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8508999943733215},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8007000088691711},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.5333999991416931},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.51419997215271},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.5094000101089478},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4984999895095825},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4666999876499176},{"id":"https://openalex.org/C2780609101","wikidata":"https://www.wikidata.org/wiki/Q17156588","display_name":"Resource management (computing)","level":2,"score":0.4611999988555908},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.45840001106262207},{"id":"https://openalex.org/C68649174","wikidata":"https://www.wikidata.org/wiki/Q1379116","display_name":"Base station","level":2,"score":0.4523000121116638},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.44179999828338623},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.42579999566078186},{"id":"https://openalex.org/C188116033","wikidata":"https://www.wikidata.org/wiki/Q2664563","display_name":"Q-learning","level":3,"score":0.41130000352859497},{"id":"https://openalex.org/C137631369","wikidata":"https://www.wikidata.org/wiki/Q7617831","display_name":"Stochastic programming","level":2,"score":0.4020000100135803},{"id":"https://openalex.org/C194387892","wikidata":"https://www.wikidata.org/wiki/Q1747770","display_name":"Stochastic optimization","level":2,"score":0.40139999985694885},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.3995000123977661},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.39340001344680786},{"id":"https://openalex.org/C106189395","wikidata":"https://www.wikidata.org/wiki/Q176789","display_name":"Markov decision process","level":3,"score":0.3887999951839447},{"id":"https://openalex.org/C115527620","wikidata":"https://www.wikidata.org/wiki/Q769909","display_name":"Nonlinear programming","level":3,"score":0.3767000138759613},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.35850000381469727},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.35569998621940613},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.35519999265670776},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.31679999828338623},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.31450000405311584},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30379998683929443},{"id":"https://openalex.org/C187633118","wikidata":"https://www.wikidata.org/wiki/Q1317949","display_name":"Economic dispatch","level":4,"score":0.30329999327659607},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.2969000041484833},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.2919999957084656},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.28769999742507935},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.2824999988079071},{"id":"https://openalex.org/C56685638","wikidata":"https://www.wikidata.org/wiki/Q2300474","display_name":"Power control","level":3,"score":0.27649998664855957},{"id":"https://openalex.org/C46637626","wikidata":"https://www.wikidata.org/wiki/Q6693015","display_name":"Low latency (capital markets)","level":2,"score":0.26649999618530273},{"id":"https://openalex.org/C56086750","wikidata":"https://www.wikidata.org/wiki/Q6042592","display_name":"Integer programming","level":2,"score":0.25999999046325684},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.25940001010894775}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vtc2025-fall65116.2025.11310140","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2025-fall65116.2025.11310140","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 102nd Vehicular Technology Conference (VTC2025-Fall)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.8376535773277283,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W4295788739","https://openalex.org/W4319996394","https://openalex.org/W4387870996","https://openalex.org/W4390357418","https://openalex.org/W4391935850","https://openalex.org/W4392174040","https://openalex.org/W4394862998","https://openalex.org/W4395069600","https://openalex.org/W4399039858","https://openalex.org/W4399665953","https://openalex.org/W4404294174","https://openalex.org/W4407830441","https://openalex.org/W4408324608"],"related_works":[],"abstract_inverted_index":{"In":[0,69],"this":[1],"paper,":[2],"we":[3,79],"propose":[4,80],"a":[5],"semantic":[6,46,99],"communication":[7],"framework":[8],"facilitated":[9],"by":[10],"multi-access":[11],"edge":[12],"computing":[13],"(MEC)assisted":[14],"satellite-air-ground":[15],"integrated":[16],"networks":[17],"(SAGIN),":[18],"which":[19],"comprises":[20],"of":[21,41,45,54,60],"LEO":[22],"satellites,":[23],"unmanned":[24],"aerial":[25],"vehicles":[26],"(UAVs),":[27],"and":[28,38,64,103,135,140],"macro-cell":[29],"base":[30],"stations":[31],"(MBSs).":[32],"Considering":[33],"the":[34,52,61,73,91],"limited":[35],"wireless":[36],"resources":[37],"diversified":[39],"quality":[40],"service":[42],"(QoS)":[43],"requirements":[44],"tasks,":[47],"an":[48,81],"optimization":[49,83,107,116],"problem":[50],"with":[51,90,108],"goal":[53],"minimizing":[55],"system":[56],"cost":[57],"in":[58],"terms":[59],"task":[62,97],"latency":[63],"energy":[65],"consumption":[66],"is":[67],"formulated.":[68],"order":[70],"to":[71],"address":[72],"mixed-integer":[74],"nonlinear":[75],"programming":[76],"(MINLP)":[77],"problem,":[78],"alternating":[82],"algorithm":[84,125],"that":[85,122],"tackles":[86],"UAV":[87],"deployment":[88],"sub-problem":[89],"successive":[92],"convex":[93],"approximation":[94],"(SCA)":[95],"method,":[96],"offloading,":[98],"compression,":[100],"power":[101],"allocation":[102,106],"computation":[104],"resource":[105],"deep":[109],"reinforcement":[110,128],"learning":[111,129],"(DRL)-based":[112],"multi-agent":[113],"proximal":[114],"policy":[115],"(MAPPO)":[117],"method.":[118],"Simulation":[119],"results":[120],"demonstrate":[121],"our":[123],"proposed":[124],"outperformes":[126],"other":[127],"algorithms,":[130],"i.e.,":[131],"about":[132],"5.12%,":[133],"23.72%":[134],"35.64%":[136],"over":[137],"PPO,":[138],"DDPG,":[139],"A2C,":[141],"respectively.":[142]},"counts_by_year":[],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2026-01-08T00:00:00"}