{"id":"https://openalex.org/W3094622999","doi":"https://doi.org/10.1109/twc.2020.3030973","title":"Deep Learning for Wireless Coded Caching With Unknown and Time-Variant Content Popularity","display_name":"Deep Learning for Wireless Coded Caching With Unknown and Time-Variant Content Popularity","publication_year":2020,"publication_date":"2020-10-21","ids":{"openalex":"https://openalex.org/W3094622999","doi":"https://doi.org/10.1109/twc.2020.3030973","mag":"3094622999"},"language":"en","primary_location":{"id":"doi:10.1109/twc.2020.3030973","is_oa":false,"landing_page_url":"https://doi.org/10.1109/twc.2020.3030973","pdf_url":null,"source":{"id":"https://openalex.org/S63459445","display_name":"IEEE Transactions on Wireless Communications","issn_l":"1536-1276","issn":["1536-1276","1558-2248"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Wireless Communications","raw_type":"journal-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/A5055652487","display_name":"Zhe Zhang","orcid":"https://orcid.org/0000-0003-1816-3740"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhe Zhang","raw_affiliation_strings":["Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-1816-3740","affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016127527","display_name":"Meixia Tao","orcid":"https://orcid.org/0000-0002-0799-0954"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meixia Tao","raw_affiliation_strings":["Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-0799-0954","affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5055652487"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":6.6363,"has_fulltext":false,"cited_by_count":59,"citation_normalized_percentile":{"value":0.96976811,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"20","issue":"2","first_page":"1152","last_page":"1163"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11478","display_name":"Caching and Content Delivery","score":1.0,"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":1.0,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9573000073432922,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.9510999917984009,"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":0.8982385993003845},{"id":"https://openalex.org/keywords/cache","display_name":"Cache","score":0.6127684712409973},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.576653003692627},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5420975685119629},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.5150651335716248},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4781547486782074},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.46896472573280334},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38947874307632446},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.35170650482177734}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8982385993003845},{"id":"https://openalex.org/C115537543","wikidata":"https://www.wikidata.org/wiki/Q165596","display_name":"Cache","level":2,"score":0.6127684712409973},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.576653003692627},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5420975685119629},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.5150651335716248},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4781547486782074},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.46896472573280334},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38947874307632446},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.35170650482177734},{"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/twc.2020.3030973","is_oa":false,"landing_page_url":"https://doi.org/10.1109/twc.2020.3030973","pdf_url":null,"source":{"id":"https://openalex.org/S63459445","display_name":"IEEE Transactions on Wireless Communications","issn_l":"1536-1276","issn":["1536-1276","1558-2248"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Wireless Communications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W1514535095","https://openalex.org/W1522301498","https://openalex.org/W1665214252","https://openalex.org/W1722699250","https://openalex.org/W1767905185","https://openalex.org/W1869752048","https://openalex.org/W1972458861","https://openalex.org/W1972738071","https://openalex.org/W2051773775","https://openalex.org/W2064675550","https://openalex.org/W2073459066","https://openalex.org/W2102113734","https://openalex.org/W2127218421","https://openalex.org/W2130942839","https://openalex.org/W2165150801","https://openalex.org/W2425152312","https://openalex.org/W2495983308","https://openalex.org/W2616867685","https://openalex.org/W2762076598","https://openalex.org/W2802673255","https://openalex.org/W2883094398","https://openalex.org/W2885828982","https://openalex.org/W2885965959","https://openalex.org/W2916618346","https://openalex.org/W2921224230","https://openalex.org/W2925689392","https://openalex.org/W2962983993","https://openalex.org/W2963069010","https://openalex.org/W2963531342","https://openalex.org/W2963805280","https://openalex.org/W2963864421","https://openalex.org/W2964150361","https://openalex.org/W2965834989","https://openalex.org/W2979180961","https://openalex.org/W2984041531","https://openalex.org/W3002080107","https://openalex.org/W3006721800","https://openalex.org/W3010113599","https://openalex.org/W3033597088","https://openalex.org/W3102090507","https://openalex.org/W3122800475","https://openalex.org/W4302570325","https://openalex.org/W6630875275","https://openalex.org/W6631190155","https://openalex.org/W6637242042","https://openalex.org/W6639082767","https://openalex.org/W6668990524","https://openalex.org/W6675365184","https://openalex.org/W6678914141","https://openalex.org/W6679436768","https://openalex.org/W6684205842","https://openalex.org/W6684921986"],"related_works":["https://openalex.org/W4362501864","https://openalex.org/W4306904969","https://openalex.org/W4380318855","https://openalex.org/W2138720691","https://openalex.org/W2031695474","https://openalex.org/W2586732548","https://openalex.org/W3049728571","https://openalex.org/W20361778","https://openalex.org/W2024136090","https://openalex.org/W4375867731"],"abstract_inverted_index":{"Coded":[0],"caching":[1,33,139,187],"is":[2,58],"effective":[3],"in":[4,10,21,141],"leveraging":[5],"the":[6,37,65,73,91,103,106,117,138,147,151,156,161,166,174,183,193],"accumulated":[7],"storage":[8],"size":[9],"wireless":[11,31],"networks":[12],"by":[13,145,159],"distributing":[14],"different":[15,111],"coded":[16,32],"segments":[17],"of":[18,93,105,168],"each":[19],"file":[20],"multiple":[22],"cache":[23,48],"nodes.":[24],"This":[25,100,131],"paper":[26],"aims":[27],"to":[28,35,60,64,89],"find":[29],"a":[30,81,123],"policy":[34,127,140,188],"minimize":[36],"total":[38],"discounted":[39],"network":[40,163],"cost,":[41,50],"which":[42],"involves":[43],"both":[44],"transmission":[45],"delay":[46],"and":[47,186],"replacement":[49],"using":[51,96,146,189],"tools":[52],"from":[53],"deep":[54,125,190],"learning.":[55],"The":[56],"problem":[57,171],"known":[59],"be":[61],"challenging":[62],"due":[63],"unknown,":[66],"time-variant":[67],"content":[68,94],"popularity":[69],"as":[70,72],"well":[71],"continuous,":[74],"high-dimensional":[75],"action":[76,143],"space.":[77],"We":[78],"first":[79],"propose":[80,122],"clustering":[82],"based":[83,164],"long":[84],"short-term":[85],"memory":[86],"(C-LTSM)":[87],"approach":[88,101],"predict":[90],"number":[92],"requests":[95],"historical":[97,107],"request":[98,108],"information.":[99],"exploits":[102],"correlation":[104],"information":[109],"between":[110],"files":[112],"through":[113],"clustering.":[114],"Based":[115],"on":[116,133,165],"predicted":[118],"results,":[119],"we":[120],"then":[121],"supervised":[124],"deterministic":[126],"gradient":[128],"(SDDPG)":[129],"approach.":[130],"approach,":[132],"one":[134],"hand,":[135,153],"can":[136],"learn":[137],"continuous":[142],"space":[144],"actor-critic":[148],"architecture.":[149],"On":[150],"other":[152],"it":[154],"accelerates":[155],"learning":[157,191],"process":[158],"pre-training":[160],"actor":[162],"solution":[167],"an":[169],"approximate":[170],"that":[172,182],"minimizes":[173],"per-slot":[175],"cost.":[176],"Real-world":[177],"trace-based":[178],"numerical":[179],"results":[180],"show":[181],"proposed":[184],"prediction":[185],"outperform":[192],"considered":[194],"existing":[195],"methods.":[196]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":22},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}