{"id":"https://openalex.org/W3158184762","doi":"https://doi.org/10.1109/wcnc49053.2021.9417585","title":"Energy-Delay Tradeoff in Device-Assisted NOMA MEC Systems: A Matching-Based Algorithm","display_name":"Energy-Delay Tradeoff in Device-Assisted NOMA MEC Systems: A Matching-Based Algorithm","publication_year":2021,"publication_date":"2021-03-29","ids":{"openalex":"https://openalex.org/W3158184762","doi":"https://doi.org/10.1109/wcnc49053.2021.9417585","mag":"3158184762"},"language":"en","primary_location":{"id":"doi:10.1109/wcnc49053.2021.9417585","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcnc49053.2021.9417585","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Wireless Communications and Networking Conference (WCNC)","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/A5063572920","display_name":"Mengmeng Ren","orcid":"https://orcid.org/0000-0002-1880-730X"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengmeng Ren","raw_affiliation_strings":["State Key Laboratory of Integrated Services Networks, Xidian University, Xi\u2019an, China","State Key Laboratory of Integrated Services Networks, Xidian University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100762325","display_name":"Jian Chen","orcid":"https://orcid.org/0000-0002-6740-6043"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Chen","raw_affiliation_strings":["State Key Laboratory of Integrated Services Networks, Xidian University, Xi\u2019an, China","State Key Laboratory of Integrated Services Networks, Xidian University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075343261","display_name":"Yuchen Zhou","orcid":"https://orcid.org/0000-0003-2290-066X"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuchen Zhou","raw_affiliation_strings":["State Key Laboratory of Integrated Services Networks, Xidian University, Xi\u2019an, China","State Key Laboratory of Integrated Services Networks, Xidian University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037478980","display_name":"Long Yang","orcid":"https://orcid.org/0000-0002-9363-2044"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Long Yang","raw_affiliation_strings":["State Key Laboratory of Integrated Services Networks, Xidian University, Xi\u2019an, China","State Key Laboratory of Integrated Services Networks, Xidian University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":3.663,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.94022733,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":97},"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/T11458","display_name":"Advanced Wireless Communication Technologies","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T11458","display_name":"Advanced Wireless Communication Technologies","score":0.9998000264167786,"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"}},{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9983000159263611,"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/T13052","display_name":"Molecular Communication and Nanonetworks","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/cluster-analysis","display_name":"Cluster analysis","score":0.654904842376709},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5906092524528503},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5905555486679077},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.5035476088523865},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"Convex optimization","score":0.4869771897792816},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4842362105846405},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.47218218445777893},{"id":"https://openalex.org/keywords/time-complexity","display_name":"Time complexity","score":0.46330907940864563},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.45830702781677246},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.444531112909317},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.44389867782592773},{"id":"https://openalex.org/keywords/approximation-algorithm","display_name":"Approximation algorithm","score":0.43427759408950806},{"id":"https://openalex.org/keywords/assignment-problem","display_name":"Assignment problem","score":0.4242510199546814},{"id":"https://openalex.org/keywords/mobile-edge-computing","display_name":"Mobile edge computing","score":0.42283719778060913},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.2907428741455078},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.28578639030456543},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2671547532081604},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07937544584274292}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.654904842376709},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5906092524528503},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5905555486679077},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.5035476088523865},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.4869771897792816},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4842362105846405},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.47218218445777893},{"id":"https://openalex.org/C311688","wikidata":"https://www.wikidata.org/wiki/Q2393193","display_name":"Time complexity","level":2,"score":0.46330907940864563},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45830702781677246},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.444531112909317},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.44389867782592773},{"id":"https://openalex.org/C148764684","wikidata":"https://www.wikidata.org/wiki/Q621751","display_name":"Approximation algorithm","level":2,"score":0.43427759408950806},{"id":"https://openalex.org/C85044808","wikidata":"https://www.wikidata.org/wiki/Q620614","display_name":"Assignment problem","level":2,"score":0.4242510199546814},{"id":"https://openalex.org/C2776061582","wikidata":"https://www.wikidata.org/wiki/Q25325231","display_name":"Mobile edge computing","level":3,"score":0.42283719778060913},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.2907428741455078},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.28578639030456543},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2671547532081604},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07937544584274292},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wcnc49053.2021.9417585","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcnc49053.2021.9417585","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Wireless Communications and Networking Conference (WCNC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.9100000262260437,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2010073242","https://openalex.org/W2886323124","https://openalex.org/W2890022354","https://openalex.org/W2892363146","https://openalex.org/W2901845465","https://openalex.org/W2964733302","https://openalex.org/W3000601297","https://openalex.org/W3003541603","https://openalex.org/W3009233422","https://openalex.org/W3010452400","https://openalex.org/W3021823339","https://openalex.org/W3034271151","https://openalex.org/W3042617392","https://openalex.org/W3048821333","https://openalex.org/W3082278499","https://openalex.org/W3103644987","https://openalex.org/W4250589301"],"related_works":["https://openalex.org/W3127808443","https://openalex.org/W2962917430","https://openalex.org/W2028468530","https://openalex.org/W4299801389","https://openalex.org/W2574604093","https://openalex.org/W2775068415","https://openalex.org/W1903284337","https://openalex.org/W2150852281","https://openalex.org/W1777219914","https://openalex.org/W2151194851"],"abstract_inverted_index":{"This":[0],"paper":[1],"develops":[2],"a":[3,22,32,65,104,112,136,146,166],"multi-helper":[4],"non-orthogonal":[5],"multiple":[6],"access":[7],"(NOMA)-enabled":[8],"mobile":[9],"edge":[10],"computing":[11],"(MEC)":[12],"system,":[13],"in":[14,189],"order":[15],"to":[16,88,172,181],"support":[17],"massive":[18],"connectivity.":[19],"To":[20,100],"achieve":[21],"tradeoff":[23],"between":[24],"the":[25,43,72,76,89,122,126,132,143,157,161,174,183,190],"energy":[26,47,193],"consumption":[27,48,194],"and":[28,49,59,84,115,195],"delay,":[29],"we":[30,107,129,164],"introduce":[31],"novel":[33],"performance":[34],"metric,":[35],"called":[36],"energy-delay":[37,77],"tradeoff,":[38],"which":[39,92],"is":[40,62,152],"defined":[41],"as":[42,64,135],"weighted":[44],"sum":[45],"of":[46,54,74,185,192],"delay.":[50,196],"The":[51,79],"joint":[52],"optimization":[53],"helper":[55,138],"clustering,":[56],"power":[57,113],"allocation":[58,114],"task":[60,116],"assignment":[61,117],"formulated":[63,80],"mixed":[66],"integer":[67],"nonlinear":[68],"programming":[69],"problem":[70,81,134],"with":[71,82,121],"aim":[73],"minimizing":[75],"tradeoff.":[78],"coupled":[83],"0-1":[85],"variables":[86],"belongs":[87],"NP-hard":[90],"problem,":[91,106],"cannot":[93],"be":[94],"directly":[95],"solved":[96],"within":[97],"polynomial":[98],"time.":[99],"efficiently":[101],"solve":[102,173],"such":[103],"challenging":[105],"first":[108],"decouple":[109],"it":[110],"into":[111],"(PATA)":[118],"subproblem.":[119],"Then,":[120,154],"solution":[123,158],"obtained":[124,159],"from":[125,160],"PATA":[127,144,162],"subproblem,":[128,145,163],"equivalently":[130],"reformulate":[131],"original":[133],"discrete":[137],"clustering":[139,169],"(DHC)":[140],"problem.":[141,176],"For":[142],"successive":[147],"convex":[148],"approximation":[149],"(SCA)-based":[150],"algorithm":[151,171,188],"proposed.":[153],"based":[155],"on":[156],"design":[165],"low-complexity":[167],"matching-based":[168],"(MBC)":[170],"DHC":[175],"Simulation":[177],"results":[178],"are":[179],"provided":[180],"demonstrate":[182],"effectiveness":[184],"our":[186],"proposed":[187],"compromise":[191]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
