{"id":"https://openalex.org/W4406754300","doi":"https://doi.org/10.1109/access.2025.3533034","title":"Power Controlled Resource Allocation and Task Offloading via Optimized Deep Reinforcement Learning in D2D Assisted Mobile Edge Computing","display_name":"Power Controlled Resource Allocation and Task Offloading via Optimized Deep Reinforcement Learning in D2D Assisted Mobile Edge Computing","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4406754300","doi":"https://doi.org/10.1109/access.2025.3533034"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3533034","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3533034","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2025.3533034","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5116004056","display_name":"Sambi Reddy Gottam","orcid":"https://orcid.org/0009-0005-6251-8512"},"institutions":[{"id":"https://openalex.org/I4210131147","display_name":"SRM University","ror":"https://ror.org/037skf023","country_code":"IN","type":"education","lineage":["https://openalex.org/I145286018","https://openalex.org/I4210131147"]},{"id":"https://openalex.org/I4401726783","display_name":"VIT-AP University","ror":"https://ror.org/007v4hf75","country_code":null,"type":"education","lineage":["https://openalex.org/I4401726783"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sambi Reddy Gottam","raw_affiliation_strings":["School of Computer Science and Engineering, VIT-AP University, Amaravati, Andhra Pradesh, India"],"raw_orcid":"https://orcid.org/0009-0005-6251-8512","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, VIT-AP University, Amaravati, Andhra Pradesh, India","institution_ids":["https://openalex.org/I4210131147","https://openalex.org/I4401726783"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059934492","display_name":"Udit Narayana Kar","orcid":"https://orcid.org/0000-0003-4254-3866"},"institutions":[{"id":"https://openalex.org/I4210131147","display_name":"SRM University","ror":"https://ror.org/037skf023","country_code":"IN","type":"education","lineage":["https://openalex.org/I145286018","https://openalex.org/I4210131147"]},{"id":"https://openalex.org/I4401726783","display_name":"VIT-AP University","ror":"https://ror.org/007v4hf75","country_code":null,"type":"education","lineage":["https://openalex.org/I4401726783"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Udit Narayana Kar","raw_affiliation_strings":["School of Computer Science and Engineering, VIT-AP University, Amaravati, Andhra Pradesh, India"],"raw_orcid":"https://orcid.org/0000-0003-4254-3866","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, VIT-AP University, Amaravati, Andhra Pradesh, India","institution_ids":["https://openalex.org/I4210131147","https://openalex.org/I4401726783"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":6.572,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.96385891,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"13","issue":null,"first_page":"19420","last_page":"19437"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9994999766349792,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9994999766349792,"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/T13553","display_name":"Age of Information Optimization","score":0.9911999702453613,"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/T12238","display_name":"Green IT and Sustainability","score":0.9793000221252441,"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/reinforcement-learning","display_name":"Reinforcement learning","score":0.8463004231452942},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8128269910812378},{"id":"https://openalex.org/keywords/mobile-edge-computing","display_name":"Mobile edge computing","score":0.7491917014122009},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6458064913749695},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.587552547454834},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.5865413546562195},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.5759124755859375},{"id":"https://openalex.org/keywords/resource-allocation","display_name":"Resource allocation","score":0.5623619556427002},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.558035135269165},{"id":"https://openalex.org/keywords/resource-management","display_name":"Resource management (computing)","score":0.49362003803253174},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4475935101509094},{"id":"https://openalex.org/keywords/mobile-computing","display_name":"Mobile computing","score":0.4295978546142578},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.31228724122047424},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.26956892013549805},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.1305205225944519},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.10631117224693298},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08467918634414673}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8463004231452942},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8128269910812378},{"id":"https://openalex.org/C2776061582","wikidata":"https://www.wikidata.org/wiki/Q25325231","display_name":"Mobile edge computing","level":3,"score":0.7491917014122009},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6458064913749695},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.587552547454834},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.5865413546562195},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.5759124755859375},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.5623619556427002},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.558035135269165},{"id":"https://openalex.org/C2780609101","wikidata":"https://www.wikidata.org/wiki/Q17156588","display_name":"Resource management (computing)","level":2,"score":0.49362003803253174},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4475935101509094},{"id":"https://openalex.org/C144543869","wikidata":"https://www.wikidata.org/wiki/Q2738570","display_name":"Mobile computing","level":2,"score":0.4295978546142578},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.31228724122047424},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26956892013549805},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.1305205225944519},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.10631117224693298},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08467918634414673},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3533034","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3533034","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:3498c32af72c4c49ad579fa5777a9b27","is_oa":true,"landing_page_url":"https://doaj.org/article/3498c32af72c4c49ad579fa5777a9b27","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 13, Pp 19420-19437 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3533034","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3533034","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W2805472753","https://openalex.org/W2897516447","https://openalex.org/W2973485181","https://openalex.org/W2996942942","https://openalex.org/W3007416275","https://openalex.org/W3011299664","https://openalex.org/W3036811270","https://openalex.org/W3042423058","https://openalex.org/W3044751912","https://openalex.org/W3047037323","https://openalex.org/W3120265095","https://openalex.org/W3135616033","https://openalex.org/W3161037238","https://openalex.org/W3164769238","https://openalex.org/W3170718966","https://openalex.org/W3188272948","https://openalex.org/W3193533776","https://openalex.org/W3193719682","https://openalex.org/W3198123857","https://openalex.org/W3200449052","https://openalex.org/W4211067533","https://openalex.org/W4226087151","https://openalex.org/W4283211712","https://openalex.org/W4283219705","https://openalex.org/W4285204145","https://openalex.org/W4285220735","https://openalex.org/W4285283446","https://openalex.org/W4288435125","https://openalex.org/W4289821779","https://openalex.org/W4293198317","https://openalex.org/W4296281130","https://openalex.org/W4301184307","https://openalex.org/W4310036753","https://openalex.org/W4312389599","https://openalex.org/W4315478957","https://openalex.org/W4317038564","https://openalex.org/W4319300581","https://openalex.org/W4322503617","https://openalex.org/W4323022485","https://openalex.org/W4327500305","https://openalex.org/W4385194732","https://openalex.org/W4388736503","https://openalex.org/W4389459125","https://openalex.org/W4390507054","https://openalex.org/W4390691391","https://openalex.org/W4390909962","https://openalex.org/W4391924062","https://openalex.org/W4399854483","https://openalex.org/W4401753387","https://openalex.org/W4402490841","https://openalex.org/W4403318892"],"related_works":["https://openalex.org/W4361251304","https://openalex.org/W3024547383","https://openalex.org/W4210813012","https://openalex.org/W3174690704","https://openalex.org/W4322761281","https://openalex.org/W4238233472","https://openalex.org/W4221092438","https://openalex.org/W4406207611","https://openalex.org/W4407633523","https://openalex.org/W3111395152"],"abstract_inverted_index":{"Device-to-device":[0],"(D2D)":[1],"technology":[2,48],"enables":[3],"continuous":[4],"communication":[5,18],"between":[6,189],"devices,":[7],"effectively":[8],"addressing":[9,241],"the":[10,67,125,128,134,179,209],"challenge":[11],"of":[12,72,127,136,232],"limited":[13],"bandwidth":[14],"resources":[15,22,170],"in":[16,30,53,78,240,248],"5G":[17,35],"systems.":[19],"However,":[20],"shared":[21],"among":[23],"multiple":[24],"D2D":[25],"user":[26],"pairs":[27],"can":[28],"result":[29],"significant":[31,76],"interference.":[32],"In":[33],"advanced":[34],"networks":[36,74],"and":[37,60,70,108,153,163,192,201,212,222,228,244,256],"beyond,":[38],"mobile":[39],"edge":[40],"computing":[41],"(MEC)":[42],"has":[43],"emerged":[44],"as":[45,217],"a":[46,137,252],"promising":[47],"for":[49,63,98,199],"reducing":[50],"power":[51,164],"consumption":[52,165],"cloud":[54],"data":[55],"centers":[56],"while":[57,167],"ensuring":[58],"reliability":[59],"real-time":[61],"access":[62],"end":[64,172,190],"devices.":[65,173],"Nonetheless,":[66],"inherent":[68],"complexity":[69],"variability":[71],"MEC":[73,129,193],"present":[75],"challenges":[77,247],"task":[79,100,151,187,245],"offloading":[80,101,152,188,200,246],"(<inline-formula":[81,102,111,142],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[82,103,112,143],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[83,104,113,144],"<tex-math":[84,105,114,145],"notation=\"LaTeX\">$T_{o}$":[85,106],"</tex-math></inline-formula>)":[86,107,116,147],"solutions.":[87],"This":[88],"study":[89],"introduces":[90],"an":[91,196],"optimized":[92],"deep":[93],"reinforcement":[94],"learning":[95],"(DRL)":[96],"approach":[97],"D2D-assisted":[99],"resource":[109,154,202,242],"allocation":[110,155,243],"notation=\"LaTeX\">$R_{a}$":[115],"to":[117,149,184],"address":[118],"these":[119],"challenges.":[120],"The":[121,158,174,204,235],"process":[122,182],"begins":[123],"with":[124,230,251],"construction":[126],"network":[130],"scenario,":[131],"followed":[132],"by":[133],"implementation":[135],"human":[138],"evolutionary":[139],"optimization-aided":[140],"DRL":[141,176],"notation=\"LaTeX\">$HEOp-DRL$":[146],"model":[148,177],"handle":[150],"tasks":[156],"jointly.":[157],"HEOp":[159],"method":[160],"minimizes":[161],"time":[162],"constraints":[166],"efficiently":[168],"allocating":[169],"across":[171],"proposed":[175],"uses":[178],"Markov":[180],"decision":[181],"(MDP)":[183],"facilitate":[185],"collaborative":[186],"devices":[191],"servers,":[194],"deriving":[195],"optimal":[197],"policy":[198],"allocation.":[203],"system":[205],"is":[206],"simulated":[207],"on":[208],"MATLAB":[210],"platform,":[211],"key":[213],"performance":[214],"metrics":[215],"such":[216],"latency,":[218,255],"average":[219],"energy":[220,258],"consumption,":[221],"sum":[223],"rate":[224],"(SR)":[225],"are":[226],"analyzed":[227],"compared":[229],"those":[231],"existing":[233],"methods.":[234],"results":[236],"demonstrate":[237],"enhanced":[238],"robustness":[239],"D2D-MEC":[249],"systems,":[250],"minimized":[253],"overall":[254],"less":[257],"consumption.":[259]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-01-24T00:00:00"}
