{"id":"https://openalex.org/W2817829786","doi":"https://doi.org/10.1109/iccw.2018.8403711","title":"Joint User Scheduling and Content Caching Strategy for Mobile Edge Networks Using Deep Reinforcement Learning","display_name":"Joint User Scheduling and Content Caching Strategy for Mobile Edge Networks Using Deep Reinforcement Learning","publication_year":2018,"publication_date":"2018-05-01","ids":{"openalex":"https://openalex.org/W2817829786","doi":"https://doi.org/10.1109/iccw.2018.8403711","mag":"2817829786"},"language":"en","primary_location":{"id":"doi:10.1109/iccw.2018.8403711","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccw.2018.8403711","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Communications Workshops (ICC Workshops)","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/A5053142001","display_name":"Yifei Wei","orcid":"https://orcid.org/0000-0002-3842-009X"},"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":"Yifei Wei","raw_affiliation_strings":["School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, P.R. China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100346726","display_name":"Zhiqiang Zhang","orcid":"https://orcid.org/0000-0003-0772-7790"},"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":"Zhiqiang Zhang","raw_affiliation_strings":["School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, P.R. China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100420016","display_name":"F. Richard Yu","orcid":"https://orcid.org/0000-0003-1006-7594"},"institutions":[{"id":"https://openalex.org/I67031392","display_name":"Carleton University","ror":"https://ror.org/02qtvee93","country_code":"CA","type":"education","lineage":["https://openalex.org/I67031392"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"F. Richard Yu","raw_affiliation_strings":["Department of Systems and Computer Engineering, Carleton University, Ottawa, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Systems and Computer Engineering, Carleton University, Ottawa, ON, Canada","institution_ids":["https://openalex.org/I67031392"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063667378","display_name":"Zhu Han","orcid":"https://orcid.org/0000-0002-6606-5822"},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhu Han","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Houston, Houston, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Houston, Houston, TX, USA","institution_ids":["https://openalex.org/I44461941"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.6901,"has_fulltext":false,"cited_by_count":49,"citation_normalized_percentile":{"value":0.98493632,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"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/T11478","display_name":"Caching and Content Delivery","score":0.9998999834060669,"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/T11478","display_name":"Caching and Content Delivery","score":0.9998999834060669,"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/T11896","display_name":"Opportunistic and Delay-Tolerant Networks","score":0.9764000177383423,"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":0.9735000133514404,"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/computer-science","display_name":"Computer science","score":0.8651963472366333},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.8491385579109192},{"id":"https://openalex.org/keywords/backhaul","display_name":"Backhaul (telecommunications)","score":0.8017939925193787},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.6414692997932434},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5813745856285095},{"id":"https://openalex.org/keywords/cache","display_name":"Cache","score":0.5269801616668701},{"id":"https://openalex.org/keywords/cellular-network","display_name":"Cellular network","score":0.4637039303779602},{"id":"https://openalex.org/keywords/transmission-delay","display_name":"Transmission delay","score":0.44975772500038147},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4234761893749237},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.38821589946746826},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.37856051325798035},{"id":"https://openalex.org/keywords/base-station","display_name":"Base station","score":0.3474973440170288},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3291785717010498},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2960810959339142}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8651963472366333},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8491385579109192},{"id":"https://openalex.org/C103760667","wikidata":"https://www.wikidata.org/wiki/Q798444","display_name":"Backhaul (telecommunications)","level":3,"score":0.8017939925193787},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.6414692997932434},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5813745856285095},{"id":"https://openalex.org/C115537543","wikidata":"https://www.wikidata.org/wiki/Q165596","display_name":"Cache","level":2,"score":0.5269801616668701},{"id":"https://openalex.org/C153646914","wikidata":"https://www.wikidata.org/wiki/Q535695","display_name":"Cellular network","level":2,"score":0.4637039303779602},{"id":"https://openalex.org/C108921912","wikidata":"https://www.wikidata.org/wiki/Q7834639","display_name":"Transmission delay","level":3,"score":0.44975772500038147},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4234761893749237},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.38821589946746826},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.37856051325798035},{"id":"https://openalex.org/C68649174","wikidata":"https://www.wikidata.org/wiki/Q1379116","display_name":"Base station","level":2,"score":0.3474973440170288},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3291785717010498},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2960810959339142},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccw.2018.8403711","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccw.2018.8403711","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Communications Workshops (ICC Workshops)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W32403112","https://openalex.org/W1966086707","https://openalex.org/W1969611313","https://openalex.org/W2009303086","https://openalex.org/W2046376809","https://openalex.org/W2051773775","https://openalex.org/W2096220631","https://openalex.org/W2105993113","https://openalex.org/W2122186362","https://openalex.org/W2155027007","https://openalex.org/W2201581102","https://openalex.org/W2490965583","https://openalex.org/W2508712411","https://openalex.org/W2519564973","https://openalex.org/W2615926310","https://openalex.org/W2738109916","https://openalex.org/W2767359317","https://openalex.org/W2963319350","https://openalex.org/W2963477884","https://openalex.org/W2964043796","https://openalex.org/W6683204974","https://openalex.org/W6687681856","https://openalex.org/W6692846177"],"related_works":["https://openalex.org/W4297310313","https://openalex.org/W2963149344","https://openalex.org/W2097644939","https://openalex.org/W2012551222","https://openalex.org/W4200445394","https://openalex.org/W4303414366","https://openalex.org/W2041847789","https://openalex.org/W2594059527","https://openalex.org/W1724300815","https://openalex.org/W2357429841"],"abstract_inverted_index":{"Caching":[0],"popular":[1],"contents":[2],"at":[3],"the":[4,25,32,37,56,60,65,76,84,91,100,104,109,112,117,133,138,141,144,163,172,176],"edge":[5,67],"of":[6,27,58,96,111,123,143,148,162,175],"mobile":[7,66],"networks":[8],"is":[9,80],"an":[10,42],"effective":[11],"technology":[12],"to":[13,82,131,157,170],"relieve":[14],"burden":[15],"on":[16,31],"backhaul":[17],"links":[18],"and":[19,35,51,108,136,151,160],"reduce":[20],"average":[21,61],"transmission":[22,62],"delay.":[23],"However,":[24],"effectiveness":[26],"content":[28,38,52],"caching":[29,39,53,106],"depends":[30],"cache-hit":[33],"probability,":[34],"thus":[36],"strategy":[40],"becomes":[41],"important":[43],"topic.":[44],"This":[45],"paper":[46],"jointly":[47],"addresses":[48],"user":[49],"scheduling":[50],"issues":[54],"with":[55,90,116],"purpose":[57],"minimizing":[59],"delay":[63],"in":[64],"network.":[68],"Since":[69],"network":[70,92,130,154],"states":[71],"are":[72,114,155,168],"unknown":[73],"random":[74],"variables,":[75],"reinforcement":[77],"learning":[78,164],"(RL)":[79],"adopted":[81],"learn":[83],"optimal":[85],"stochastic":[86],"policy":[87,113],"through":[88],"interactions":[89],"environment.":[93],"The":[94,121,146],"actor":[95,139],"RL":[97,124],"agent":[98,125],"uses":[99,126],"Gibbs":[101],"distribution":[102],"as":[103],"probabilistic":[105],"policy,":[107],"parameters":[110],"updated":[115],"gradient":[118,142],"ascent":[119],"method.":[120],"critic":[122],"a":[127],"deep":[128],"neural":[129],"approximate":[132],"value":[134],"function":[135],"helps":[137],"estimate":[140],"policy.":[145],"techniques":[147],"experience":[149],"replay":[150],"fixed":[152],"target":[153],"used":[156],"guarantee":[158],"convergence":[159],"stability":[161],"algorithm.":[165],"Simulation":[166],"results":[167],"shown":[169],"illustrate":[171],"superior":[173],"performance":[174],"proposed":[177],"approach.":[178]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":15},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
