{"id":"https://openalex.org/W4415123934","doi":"https://doi.org/10.1109/tccn.2025.3620385","title":"Prune-Based Deep Reinforcement Learning Offloading Algorithm for Mobile Edge Computing","display_name":"Prune-Based Deep Reinforcement Learning Offloading Algorithm for Mobile Edge Computing","publication_year":2025,"publication_date":"2025-10-13","ids":{"openalex":"https://openalex.org/W4415123934","doi":"https://doi.org/10.1109/tccn.2025.3620385"},"language":"en","primary_location":{"id":"doi:10.1109/tccn.2025.3620385","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tccn.2025.3620385","pdf_url":null,"source":{"id":"https://openalex.org/S2484188435","display_name":"IEEE Transactions on Cognitive Communications and Networking","issn_l":"2332-7731","issn":["2332-7731","2372-2045"],"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 Cognitive Communications and Networking","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/A5104294055","display_name":"Jia Hao","orcid":"https://orcid.org/0009-0004-7241-3178"},"institutions":[{"id":"https://openalex.org/I2722730","display_name":"Inner Mongolia University","ror":"https://ror.org/0106qb496","country_code":"CN","type":"education","lineage":["https://openalex.org/I2722730"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia Hao","raw_affiliation_strings":["College of Computer Science, Inner Mongolia University, Hohhot, China"],"raw_orcid":"https://orcid.org/0009-0004-7241-3178","affiliations":[{"raw_affiliation_string":"College of Computer Science, Inner Mongolia University, Hohhot, China","institution_ids":["https://openalex.org/I2722730"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Lei Wang","orcid":"https://orcid.org/0009-0004-5879-5325"},"institutions":[{"id":"https://openalex.org/I2722730","display_name":"Inner Mongolia University","ror":"https://ror.org/0106qb496","country_code":"CN","type":"education","lineage":["https://openalex.org/I2722730"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Wang","raw_affiliation_strings":["College of Computer Science, Inner Mongolia University, Hohhot, China"],"raw_orcid":"https://orcid.org/0009-0004-5879-5325","affiliations":[{"raw_affiliation_string":"College of Computer Science, Inner Mongolia University, Hohhot, China","institution_ids":["https://openalex.org/I2722730"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074658627","display_name":"Murugaraj Odiathevar","orcid":"https://orcid.org/0000-0001-9397-8478"},"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":"Murugaraj Odiathevar","raw_affiliation_strings":["Research Business Foundation, Sungkyunkwan University, Seoul, Gyeonggi-Do, South Korea","Research Business Foundation, Sungkyunkwan University, Gyeonggi-Do, South Korea"],"raw_orcid":"https://orcid.org/0000-0001-9397-8478","affiliations":[{"raw_affiliation_string":"Research Business Foundation, Sungkyunkwan University, Seoul, Gyeonggi-Do, South Korea","institution_ids":["https://openalex.org/I848706"]},{"raw_affiliation_string":"Research Business Foundation, Sungkyunkwan University, Gyeonggi-Do, South Korea","institution_ids":["https://openalex.org/I848706"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036767777","display_name":"Winston K.G. Seah","orcid":"https://orcid.org/0000-0001-7147-5167"},"institutions":[{"id":"https://openalex.org/I41156924","display_name":"Victoria University of Wellington","ror":"https://ror.org/0040r6f76","country_code":"NZ","type":"education","lineage":["https://openalex.org/I41156924"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Winston K. G. Seah","raw_affiliation_strings":["School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand","School of Engineering &#x0026; Computer Science, Victoria University of Wellington, Wellington, New Zealand"],"raw_orcid":"https://orcid.org/0000-0001-7147-5167","affiliations":[{"raw_affiliation_string":"School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand","institution_ids":["https://openalex.org/I41156924"]},{"raw_affiliation_string":"School of Engineering &#x0026; Computer Science, Victoria University of Wellington, Wellington, New Zealand","institution_ids":["https://openalex.org/I41156924"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Gang Xu","orcid":"https://orcid.org/0000-0002-1071-6577"},"institutions":[{"id":"https://openalex.org/I2722730","display_name":"Inner Mongolia University","ror":"https://ror.org/0106qb496","country_code":"CN","type":"education","lineage":["https://openalex.org/I2722730"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Xu","raw_affiliation_strings":["College of Computer Science, Inner Mongolia University, Hohhot, China"],"raw_orcid":"https://orcid.org/0000-0002-1071-6577","affiliations":[{"raw_affiliation_string":"College of Computer Science, Inner Mongolia University, Hohhot, China","institution_ids":["https://openalex.org/I2722730"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062695688","display_name":"Baoqi Huang","orcid":"https://orcid.org/0000-0003-4027-1756"},"institutions":[{"id":"https://openalex.org/I2722730","display_name":"Inner Mongolia University","ror":"https://ror.org/0106qb496","country_code":"CN","type":"education","lineage":["https://openalex.org/I2722730"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baoqi Huang","raw_affiliation_strings":["College of Computer Science, Inner Mongolia University, Hohhot, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Inner Mongolia University, Hohhot, China","institution_ids":["https://openalex.org/I2722730"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101456383","display_name":"Yongqiang Gao","orcid":"https://orcid.org/0000-0003-3273-3148"},"institutions":[{"id":"https://openalex.org/I2722730","display_name":"Inner Mongolia University","ror":"https://ror.org/0106qb496","country_code":"CN","type":"education","lineage":["https://openalex.org/I2722730"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongqiang Gao","raw_affiliation_strings":["College of Computer Science, Inner Mongolia University, Hohhot, China"],"raw_orcid":"https://orcid.org/0000-0003-3273-3148","affiliations":[{"raw_affiliation_string":"College of Computer Science, Inner Mongolia University, Hohhot, China","institution_ids":["https://openalex.org/I2722730"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4012,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.84766148,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"12","issue":null,"first_page":"2874","last_page":"2887"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.906000018119812,"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":0.906000018119812,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.8586999773979187},{"id":"https://openalex.org/keywords/markov-decision-process","display_name":"Markov decision process","score":0.8513000011444092},{"id":"https://openalex.org/keywords/mobile-edge-computing","display_name":"Mobile edge computing","score":0.8248000144958496},{"id":"https://openalex.org/keywords/computation-offloading","display_name":"Computation offloading","score":0.7075999975204468},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.5604000091552734},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.5037999749183655},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.4643999934196472},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.460999995470047},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.43950000405311584},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.3921000063419342}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8672000169754028},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8586999773979187},{"id":"https://openalex.org/C106189395","wikidata":"https://www.wikidata.org/wiki/Q176789","display_name":"Markov decision process","level":3,"score":0.8513000011444092},{"id":"https://openalex.org/C2776061582","wikidata":"https://www.wikidata.org/wiki/Q25325231","display_name":"Mobile edge computing","level":3,"score":0.8248000144958496},{"id":"https://openalex.org/C2781041963","wikidata":"https://www.wikidata.org/wiki/Q18348618","display_name":"Computation offloading","level":4,"score":0.7075999975204468},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.5604000091552734},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.5037999749183655},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.4643999934196472},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.460999995470047},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.43950000405311584},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4293999969959259},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.3921000063419342},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.3720000088214874},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3700999915599823},{"id":"https://openalex.org/C144543869","wikidata":"https://www.wikidata.org/wiki/Q2738570","display_name":"Mobile computing","level":2,"score":0.3587000072002411},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.3495999872684479},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.34880000352859497},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.32899999618530273},{"id":"https://openalex.org/C188116033","wikidata":"https://www.wikidata.org/wiki/Q2664563","display_name":"Q-learning","level":3,"score":0.326200008392334},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.32429999113082886},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31040000915527344},{"id":"https://openalex.org/C153646914","wikidata":"https://www.wikidata.org/wiki/Q535695","display_name":"Cellular network","level":2,"score":0.29760000109672546},{"id":"https://openalex.org/C17098449","wikidata":"https://www.wikidata.org/wiki/Q176814","display_name":"Partially observable Markov decision process","level":4,"score":0.2924000024795532},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.29019999504089355},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.2856000065803528},{"id":"https://openalex.org/C95491727","wikidata":"https://www.wikidata.org/wiki/Q992968","display_name":"Mobile telephony","level":3,"score":0.2842000126838684},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.27379998564720154},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.27300000190734863},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.2572000026702881},{"id":"https://openalex.org/C101403955","wikidata":"https://www.wikidata.org/wiki/Q6707083","display_name":"Lyapunov optimization","level":5,"score":0.2522999942302704}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tccn.2025.3620385","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tccn.2025.3620385","pdf_url":null,"source":{"id":"https://openalex.org/S2484188435","display_name":"IEEE Transactions on Cognitive Communications and Networking","issn_l":"2332-7731","issn":["2332-7731","2372-2045"],"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 Cognitive Communications and Networking","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3187336393","display_name":null,"funder_award_id":"2023YFSW0017","funder_id":"https://openalex.org/F4320322868","funder_display_name":"Natural Science Foundation of Inner Mongolia"},{"id":"https://openalex.org/G5262969511","display_name":"\u9762\u5411\u8fb9\u8fdc\u5730\u533a\u57fa\u4e8e\u4e0d\u786e\u5b9a\u793e\u4f1a\u5173\u7cfb\u7684\u9ad8\u8986\u76d6\u4f4e\u5ef6\u8fdf\u5f02\u6784\u673a\u4f1a\u7f51\u7edc\u7814\u7a76","funder_award_id":"62061036","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322868","display_name":"Natural Science Foundation of Inner Mongolia","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W2114715837","https://openalex.org/W2461067967","https://openalex.org/W2896089337","https://openalex.org/W2934940064","https://openalex.org/W3082598040","https://openalex.org/W3093793239","https://openalex.org/W3105504538","https://openalex.org/W3109858579","https://openalex.org/W3134947650","https://openalex.org/W3137932838","https://openalex.org/W3172247901","https://openalex.org/W3174997142","https://openalex.org/W3176164341","https://openalex.org/W3212845011","https://openalex.org/W4221160470","https://openalex.org/W4226200846","https://openalex.org/W4295736419","https://openalex.org/W4313059436","https://openalex.org/W4386212337","https://openalex.org/W4386275760","https://openalex.org/W4388709702","https://openalex.org/W4390187147","https://openalex.org/W4408725847","https://openalex.org/W4409049948"],"related_works":[],"abstract_inverted_index":{"Task":[0],"offloading":[1,20,48,95,117],"strategies":[2,49],"in":[3,55,172],"Mobile":[4],"Edge":[5],"Computing":[6],"(MEC)":[7],"aim":[8],"to":[9,22,28,51,59,62,78,102,123],"reduce":[10,124],"computation":[11],"delay":[12],"and":[13,33,91,127,153],"energy":[14],"consumption":[15],"of":[16,107,145],"mobile":[17],"devices":[18],"by":[19,157],"tasks":[21],"edge":[23],"servers,":[24],"which":[25,119],"is":[26],"key":[27],"improving":[29],"MEC":[30,80,88,109,146],"system":[31,81,89,133,155],"performance":[32],"user":[34],"experience.":[35],"Recent":[36],"efforts":[37],"have":[38],"focused":[39],"on":[40],"utilizing":[41],"deep":[42],"reinforcement":[43,73],"learning":[44,74,129],"(DRL)":[45],"but":[46],"DRL-based":[47],"struggle":[50],"achieve":[52],"optimal":[53],"decisions":[54],"limited":[56],"iterations":[57],"due":[58],"complexity.":[60],"Therefore,":[61],"address":[63],"the":[64,93,104,108,125,142],"complexity":[65,126],"challenge,":[66],"this":[67],"paper":[68],"proposes":[69],"a":[70,86,98,114,164],"Prune-based":[71],"Deep":[72],"Offloading":[75],"Algorithm":[76],"(PDOA)":[77],"enhance":[79],"performance.":[82],"First,":[83],"we":[84,112],"construct":[85],"dynamic":[87],"model":[90],"formulate":[92],"task":[94],"problem":[96],"as":[97],"Markov":[99],"decision":[100],"process":[101],"minimize":[103],"total":[105],"cost":[106,144],"system.":[110],"Next,":[111],"propose":[113],"prune-based":[115],"DRL":[116,121,170],"algorithm,":[118],"prunes":[120],"models":[122,171],"improve":[128],"efficiency,":[130],"thereby":[131],"lowering":[132],"costs.":[134],"The":[135],"experimental":[136],"results":[137],"show":[138],"that":[139],"PDOA":[140],"reduces":[141],"computational":[143],"systems":[147],"significantly":[148],"compared":[149],"with":[150],"other":[151],"methods":[152],"lowers":[154],"costs":[156],"over":[158],"10%.":[159],"This":[160],"optimization":[161],"approach":[162],"provides":[163],"novel":[165],"research":[166],"perspective":[167],"for":[168],"applying":[169],"MEC.":[173]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-14T00:00:00"}
