{"id":"https://openalex.org/W2982474007","doi":"https://doi.org/10.1109/wcnc.2019.8885793","title":"Mobile-Edge Computation Offloading and Resource Allocation in Heterogeneous Wireless Networks","display_name":"Mobile-Edge Computation Offloading and Resource Allocation in Heterogeneous Wireless Networks","publication_year":2019,"publication_date":"2019-04-01","ids":{"openalex":"https://openalex.org/W2982474007","doi":"https://doi.org/10.1109/wcnc.2019.8885793","mag":"2982474007"},"language":"en","primary_location":{"id":"doi:10.1109/wcnc.2019.8885793","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcnc.2019.8885793","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Wireless Communications and Networking Conference (WCNC)","raw_type":"proceedings-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/A5055297913","display_name":"Yanwen Lan","orcid":"https://orcid.org/0000-0002-7019-7190"},"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":"Yanwen Lan","raw_affiliation_strings":["Key Laboratory of Universal Wireless Communications, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Universal Wireless Communications, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100679196","display_name":"Xiaoxiang Wang","orcid":"https://orcid.org/0000-0002-2924-2295"},"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":"Xiaoxiang Wang","raw_affiliation_strings":["Key Laboratory of Universal Wireless Communications, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Universal Wireless Communications, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100764278","display_name":"Dongyu Wang","orcid":"https://orcid.org/0000-0001-6751-3589"},"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":"Dongyu Wang","raw_affiliation_strings":["Key Laboratory of Universal Wireless Communications, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Universal Wireless Communications, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100449684","display_name":"Yibo Zhang","orcid":"https://orcid.org/0000-0003-2773-4824"},"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":"Yibo Zhang","raw_affiliation_strings":["Key Laboratory of Universal Wireless Communications, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Universal Wireless Communications, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100392054","display_name":"Wei Wang","orcid":"https://orcid.org/0000-0002-6907-1697"},"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":"Wei Wang","raw_affiliation_strings":["Key Laboratory of Universal Wireless Communications, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Universal Wireless Communications, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":0.7265,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.72563586,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11392","display_name":"Energy Harvesting in Wireless Networks","score":0.9998999834060669,"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/T11392","display_name":"Energy Harvesting in Wireless Networks","score":0.9998999834060669,"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/T11458","display_name":"Advanced Wireless Communication Technologies","score":0.9998999834060669,"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":0.9991999864578247,"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/computer-science","display_name":"Computer science","score":0.7795279026031494},{"id":"https://openalex.org/keywords/mobile-edge-computing","display_name":"Mobile edge computing","score":0.7505241632461548},{"id":"https://openalex.org/keywords/resource-allocation","display_name":"Resource allocation","score":0.5833688378334045},{"id":"https://openalex.org/keywords/computation-offloading","display_name":"Computation offloading","score":0.5770236253738403},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.5733380317687988},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5642708539962769},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.508808434009552},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"Convex optimization","score":0.4795943796634674},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4717104136943817},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.4602559804916382},{"id":"https://openalex.org/keywords/greedy-algorithm","display_name":"Greedy algorithm","score":0.45527878403663635},{"id":"https://openalex.org/keywords/telecommunications-link","display_name":"Telecommunications link","score":0.4334453344345093},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.41176143288612366},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.31919166445732117},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.3179788589477539},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2943766117095947},{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.22974324226379395},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.15508818626403809},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1351167857646942},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08352676033973694},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07403990626335144}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7795279026031494},{"id":"https://openalex.org/C2776061582","wikidata":"https://www.wikidata.org/wiki/Q25325231","display_name":"Mobile edge computing","level":3,"score":0.7505241632461548},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.5833688378334045},{"id":"https://openalex.org/C2781041963","wikidata":"https://www.wikidata.org/wiki/Q18348618","display_name":"Computation offloading","level":4,"score":0.5770236253738403},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.5733380317687988},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5642708539962769},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.508808434009552},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.4795943796634674},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4717104136943817},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.4602559804916382},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.45527878403663635},{"id":"https://openalex.org/C138660444","wikidata":"https://www.wikidata.org/wiki/Q5607897","display_name":"Telecommunications link","level":2,"score":0.4334453344345093},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.41176143288612366},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.31919166445732117},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.3179788589477539},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2943766117095947},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.22974324226379395},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.15508818626403809},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1351167857646942},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08352676033973694},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07403990626335144},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wcnc.2019.8885793","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcnc.2019.8885793","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Wireless Communications and Networking Conference (WCNC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1727734017","https://openalex.org/W2236026958","https://openalex.org/W2362238774","https://openalex.org/W2511262144","https://openalex.org/W2511425482","https://openalex.org/W2561715836","https://openalex.org/W2603810864","https://openalex.org/W2740493949","https://openalex.org/W2745537382","https://openalex.org/W2748184427","https://openalex.org/W2765821017","https://openalex.org/W2769447265","https://openalex.org/W2792244469","https://openalex.org/W2792526074","https://openalex.org/W2792758175","https://openalex.org/W3214074647","https://openalex.org/W6803975782"],"related_works":["https://openalex.org/W4200420173","https://openalex.org/W3120617837","https://openalex.org/W3127808443","https://openalex.org/W2916011811","https://openalex.org/W3034137700","https://openalex.org/W4362496467","https://openalex.org/W2896883851","https://openalex.org/W2917127270","https://openalex.org/W3185499500","https://openalex.org/W3014317926"],"abstract_inverted_index":{"Mobile":[0],"edge":[1],"computing":[2,13],"(MEC)":[3],"has":[4],"been":[5,24],"recognized":[6],"as":[7,129],"an":[8,46],"effective":[9],"technology":[10,59],"to":[11,15,97,153],"augment":[12],"capabilities":[14],"user":[16,77,114],"equipments":[17],"(UEs).":[18],"Although":[19],"some":[20],"existing":[21],"works":[22,31],"have":[23],"done":[25],"on":[26,33],"MEC,":[27],"but":[28],"only":[29],"few":[30],"focus":[32],"the":[34,98,155,161],"area":[35],"of":[36,70,160],"full":[37],"duplex":[38],"(FD)":[39],"enabled":[40,63],"Heterogeneous":[41],"Networks":[42],"(HetNets),":[43],"which":[44,76],"is":[45,73,102,127,139,151,164],"important":[47],"scenario":[48],"in":[49,60,75],"future":[50],"5G":[51],"networks.":[52],"In":[53],"this":[54],"paper,":[55],"we":[56,106],"integrate":[57],"FD":[58,84],"a":[61,66,130,146],"MEC":[62],"HetNets.":[64],"Firstly,":[65],"maximization":[67],"optimization":[68,100,116,122,148],"problem":[69,101,117,123,132],"users'":[71],"revenues":[72],"formulated,":[74],"association,":[78],"computation":[79,89],"offloading":[80],"strategy":[81],"policy,":[82],"uplink":[83],"transmission":[85],"power":[86],"allocation,":[87],"and":[88,104,119,133],"resource":[90,120,136],"scheduling":[91],"are":[92],"all":[93],"considered.":[94],"Secondly,":[95],"due":[96],"original":[99,156],"NP-hard":[103],"non-convex,":[105],"transform":[107],"it":[108],"into":[109],"two":[110],"sub":[111],"problems,":[112],"named":[113],"allocation":[115,121,137],"(UAOP)":[118],"(RAOP).":[124],"Moreover,":[125],"RAOP":[126],"proved":[128],"convex":[131],"its":[134],"optimal":[135],"solution":[138],"found":[140],"by":[141,166],"Lagrangian":[142],"multiplier":[143],"method.":[144],"Finally,":[145],"greedy-based":[147],"algorithm":[149],"(GBOA)":[150],"proposed":[152,162],"solve":[154],"problem.":[157],"The":[158],"effectiveness":[159],"scheme":[163],"demonstrated":[165],"simulation":[167],"results":[168],"with":[169],"different":[170],"system":[171],"parameters.":[172]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}