{"id":"https://openalex.org/W3208184986","doi":"https://doi.org/10.1109/pimrc50174.2021.9569283","title":"Deep Reinforcement Learning Based Caching Placement and User Association for Dynamic Cellular Networks","display_name":"Deep Reinforcement Learning Based Caching Placement and User Association for Dynamic Cellular Networks","publication_year":2021,"publication_date":"2021-09-13","ids":{"openalex":"https://openalex.org/W3208184986","doi":"https://doi.org/10.1109/pimrc50174.2021.9569283","mag":"3208184986"},"language":"en","primary_location":{"id":"doi:10.1109/pimrc50174.2021.9569283","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pimrc50174.2021.9569283","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 32nd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)","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/A5100371996","display_name":"Yue Wang","orcid":"https://orcid.org/0000-0002-1287-7710"},"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":"Yue Wang","raw_affiliation_strings":["School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050046664","display_name":"Chunyan Feng","orcid":"https://orcid.org/0000-0002-4277-6857"},"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":"Chunyan Feng","raw_affiliation_strings":["School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102913097","display_name":"Tiankui Zhang","orcid":"https://orcid.org/0000-0002-0694-5844"},"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":"Tiankui Zhang","raw_affiliation_strings":["School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, 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":1.0852,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.74347826,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"8","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/T10796","display_name":"Cooperative Communication and Network Coding","score":0.9898999929428101,"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/T11409","display_name":"Advanced Wireless Network Optimization","score":0.9502000212669373,"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":0.8665242195129395},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.6417381763458252},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.627568781375885},{"id":"https://openalex.org/keywords/cache","display_name":"Cache","score":0.6118737459182739},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5385549664497375},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.47036951780319214},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4678172767162323},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.42496681213378906},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3171515166759491},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2911965847015381},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16993242502212524}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8665242195129395},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6417381763458252},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.627568781375885},{"id":"https://openalex.org/C115537543","wikidata":"https://www.wikidata.org/wiki/Q165596","display_name":"Cache","level":2,"score":0.6118737459182739},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5385549664497375},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.47036951780319214},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4678172767162323},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.42496681213378906},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3171515166759491},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2911965847015381},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16993242502212524},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/pimrc50174.2021.9569283","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pimrc50174.2021.9569283","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 32nd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2051773775","https://openalex.org/W2108619558","https://openalex.org/W2137813581","https://openalex.org/W2173248099","https://openalex.org/W2280358752","https://openalex.org/W2897039430","https://openalex.org/W2898484059","https://openalex.org/W2900490252","https://openalex.org/W2946202044","https://openalex.org/W2963040956","https://openalex.org/W2963355846","https://openalex.org/W2963864421","https://openalex.org/W2969461966","https://openalex.org/W3010576614","https://openalex.org/W3048543830","https://openalex.org/W3102402089","https://openalex.org/W6684921986"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W972276598","https://openalex.org/W4246352526","https://openalex.org/W2121910908","https://openalex.org/W915438175"],"abstract_inverted_index":{"In":[0],"cache-enabling":[1],"cellular":[2],"networks,":[3],"we":[4,25,68,84,100],"investigate":[5],"the":[6,15,41,47,53,61,80,96,116,121,126,138,141,145],"caching":[7,34,62,92,107],"placement":[8,35,63,93,108],"and":[9,19,36,60,106,123],"content":[10,17,42,147],"delivery.":[11],"To":[12],"cope":[13],"with":[14,137],"time-varying":[16],"popularity":[18],"user":[20,37,54,76,104],"location":[21],"in":[22,57,64,79,95,150],"practical":[23],"scenarios,":[24],"formulate":[26],"a":[27,70,86,102,112],"long-term":[28,146],"joint":[29,103],"dynamic":[30,151],"optimization":[31,48],"problem":[32,49],"of":[33,125],"association":[38,55,77,105],"for":[39,115],"minimizing":[40],"delivery":[43,148],"delay.":[44],"We":[45,119],"decompose":[46],"into":[50],"two":[51],"sub-problems,":[52],"sub-problem":[56],"short":[58,81],"time-scale":[59],"long":[65,97],"timescale.":[66],"Specifically,":[67],"propose":[69,101],"low":[71],"complexity":[72],"belief":[73],"propagation":[74],"based":[75,91],"algorithm":[78,94,109,128,143],"time-scale.":[82,98],"Then":[83],"develop":[85],"deep":[87],"deterministic":[88],"policy":[89],"gradient":[90],"Finally,":[99],"to":[110],"obtain":[111],"sub-optimal":[113],"solution":[114],"proposed":[117,127,142],"problem.":[118],"demonstrate":[120],"convergence":[122],"performance":[124],"by":[129],"simulation":[130],"results.":[131],"Simulation":[132],"results":[133],"show":[134],"that":[135],"compared":[136],"benchmark":[139],"algorithms,":[140],"reduces":[144],"delay":[149],"networks":[152],"effectively.":[153]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
