{"id":"https://openalex.org/W3013238194","doi":"https://doi.org/10.1109/ieeeconf44664.2019.9048737","title":"Linear Approximation based Q-Learning for Edge Caching in Massive MIMO Networks","display_name":"Linear Approximation based Q-Learning for Edge Caching in Massive MIMO Networks","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3013238194","doi":"https://doi.org/10.1109/ieeeconf44664.2019.9048737","mag":"3013238194"},"language":"en","primary_location":{"id":"doi:10.1109/ieeeconf44664.2019.9048737","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf44664.2019.9048737","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 53rd Asilomar Conference on Signals, Systems, and Computers","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/A5008815990","display_name":"Navneet Garg","orcid":"https://orcid.org/0000-0001-8535-7663"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Navneet Garg","raw_affiliation_strings":["The Univesity of Edinburgh, Edinburgh, UK"],"affiliations":[{"raw_affiliation_string":"The Univesity of Edinburgh, Edinburgh, UK","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071345719","display_name":"Mathini Sellathurai","orcid":"https://orcid.org/0000-0002-8738-8583"},"institutions":[{"id":"https://openalex.org/I32062511","display_name":"Heriot-Watt University","ror":"https://ror.org/04mghma93","country_code":"GB","type":"education","lineage":["https://openalex.org/I32062511"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Mathini Sellathurai","raw_affiliation_strings":["Herriot-Watt University, Edinburgh, UK"],"affiliations":[{"raw_affiliation_string":"Herriot-Watt University, Edinburgh, UK","institution_ids":["https://openalex.org/I32062511"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091847007","display_name":"Tharmalingam Ratnarajah","orcid":"https://orcid.org/0000-0002-7636-1246"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Tharmalingam Ratnarajah","raw_affiliation_strings":["The Univesity of Edinburgh, Edinburgh, UK"],"affiliations":[{"raw_affiliation_string":"The Univesity of Edinburgh, Edinburgh, UK","institution_ids":["https://openalex.org/I98677209"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5008815990"],"corresponding_institution_ids":["https://openalex.org/I98677209"],"apc_list":null,"apc_paid":null,"fwci":0.1769,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.58160948,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1769","last_page":"1773"},"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":0.9747999906539917,"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":0.9703999757766724,"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":0.7479544878005981},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5961142778396606},{"id":"https://openalex.org/keywords/q-learning","display_name":"Q-learning","score":0.5762416124343872},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.5688387751579285},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5663785338401794},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.49329012632369995},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.48699790239334106},{"id":"https://openalex.org/keywords/base-station","display_name":"Base station","score":0.48643016815185547},{"id":"https://openalex.org/keywords/mimo","display_name":"MIMO","score":0.46952906250953674},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.4562664031982422},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3808740973472595},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.35120850801467896},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23828941583633423},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.1805257499217987},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1756446659564972},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16632863879203796}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7479544878005981},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5961142778396606},{"id":"https://openalex.org/C188116033","wikidata":"https://www.wikidata.org/wiki/Q2664563","display_name":"Q-learning","level":3,"score":0.5762416124343872},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5688387751579285},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5663785338401794},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.49329012632369995},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.48699790239334106},{"id":"https://openalex.org/C68649174","wikidata":"https://www.wikidata.org/wiki/Q1379116","display_name":"Base station","level":2,"score":0.48643016815185547},{"id":"https://openalex.org/C207987634","wikidata":"https://www.wikidata.org/wiki/Q176862","display_name":"MIMO","level":3,"score":0.46952906250953674},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.4562664031982422},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3808740973472595},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.35120850801467896},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23828941583633423},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.1805257499217987},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1756446659564972},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16632863879203796},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ieeeconf44664.2019.9048737","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf44664.2019.9048737","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 53rd Asilomar Conference on Signals, Systems, and Computers","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7668219610","display_name":null,"funder_award_id":"EP/P009549/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G8402760336","display_name":null,"funder_award_id":"EP/P009670/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1481341908","https://openalex.org/W1483283748","https://openalex.org/W1767905185","https://openalex.org/W1972738071","https://openalex.org/W2106248279","https://openalex.org/W2322725250","https://openalex.org/W2425152312","https://openalex.org/W2495983308","https://openalex.org/W2516631548","https://openalex.org/W2519564973","https://openalex.org/W2736697459","https://openalex.org/W2746390786","https://openalex.org/W2765317060","https://openalex.org/W2771556079","https://openalex.org/W2774305250","https://openalex.org/W2806171402","https://openalex.org/W2900490252","https://openalex.org/W2963051739","https://openalex.org/W3122800475","https://openalex.org/W6745804537"],"related_works":["https://openalex.org/W2561058892","https://openalex.org/W2742483371","https://openalex.org/W3096874164","https://openalex.org/W2166117066","https://openalex.org/W2357975469","https://openalex.org/W2136202932","https://openalex.org/W3087814763","https://openalex.org/W4376605461","https://openalex.org/W4400868993","https://openalex.org/W2361647908"],"abstract_inverted_index":{"To":[0,74],"meet":[1],"increasing":[2],"demands":[3],"in":[4,12,26,60,108],"wireless":[5],"multimedia":[6],"communications,":[7],"caching":[8,21,67],"of":[9,16,93,99,101,115,118,122,127,156],"important":[10],"contents":[11],"advance":[13],"is":[14,29,45,84],"one":[15],"the":[17,55,112,134,142,151,157],"key":[18],"solutions.":[19],"Optimal":[20],"depends":[22],"on":[23],"content":[24,35,50,145],"popularity":[25,36],"future":[27],"which":[28,86,149],"unknown.":[30],"In":[31],"this":[32,109],"paper,":[33],"modeling":[34],"as":[37,147],"a":[38,78,90,125],"finite":[39],"state":[40,102],"Markov":[41],"chain,":[42],"reinforcement":[43],"Q-learning":[44,83,107,136],"employed":[46],"to":[47,53],"learn":[48],"optimal":[49],"placement":[51,129,146],"strategy":[52],"maximize":[54],"average":[56],"success":[57],"probability":[58],"(ASP)":[59],"homogeneous":[61],"Poisson":[62],"point":[63],"process":[64],"(PPP)":[65],"distributed":[66],"network":[68],"having":[69],"massive":[70],"MIMO":[71],"base":[72],"stations.":[73],"improve":[75],"over":[76],"Q-learning,":[77,148],"linear":[79],"function":[80],"approximation":[81],"based":[82],"proposed":[85],"shows":[87,150],"that":[88,133],"only":[89],"constant":[91],"number":[92,117,121],"(three)":[94],"parameters":[95,113],"need":[96],"updation":[97],"irrespective":[98],"size":[100,116],"and":[103,140,154],"action":[104],"sets,":[105],"while":[106],"context":[110],"requires":[111],"update":[114],"states":[119],"times":[120],"actions.":[123],"Given":[124],"set":[126],"available":[128],"strategies,":[130],"simulations":[131],"show":[132],"approximate":[135,158],"converge,":[137],"successfully":[138],"learns":[139],"provides":[141],"same":[143],"best":[144],"successful":[152],"applicability":[153],"scalability":[155],"Q-learning.":[159]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}