{"id":"https://openalex.org/W4401749493","doi":"https://doi.org/10.1109/jsyst.2024.3442958","title":"Caching for Doubly Selective Fading Channels via Model-Agnostic Meta-Reinforcement Learning","display_name":"Caching for Doubly Selective Fading Channels via Model-Agnostic Meta-Reinforcement Learning","publication_year":2024,"publication_date":"2024-08-22","ids":{"openalex":"https://openalex.org/W4401749493","doi":"https://doi.org/10.1109/jsyst.2024.3442958"},"language":"en","primary_location":{"id":"doi:10.1109/jsyst.2024.3442958","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsyst.2024.3442958","pdf_url":null,"source":{"id":"https://openalex.org/S95999327","display_name":"IEEE Systems Journal","issn_l":"1932-8184","issn":["1932-8184","1937-9234","2373-7816"],"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 Systems Journal","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/A5002107909","display_name":"Weibao He","orcid":null},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weibao He","raw_affiliation_strings":["School of Physics and Materials Science, Guangzhou University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Physics and Materials Science, Guangzhou University, Guangzhou, China","institution_ids":["https://openalex.org/I37987034"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025044325","display_name":"Fasheng Zhou","orcid":"https://orcid.org/0000-0002-2174-6069"},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fasheng Zhou","raw_affiliation_strings":["School of Electronics and Communication Engineering, Guangzhou University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-2174-6069","affiliations":[{"raw_affiliation_string":"School of Electronics and Communication Engineering, Guangzhou University, Guangzhou, China","institution_ids":["https://openalex.org/I37987034"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052842216","display_name":"Dong Tang","orcid":"https://orcid.org/0000-0002-2240-8395"},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Tang","raw_affiliation_strings":["School of Electronics and Communication Engineering, Guangzhou University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-2240-8395","affiliations":[{"raw_affiliation_string":"School of Electronics and Communication Engineering, Guangzhou University, Guangzhou, China","institution_ids":["https://openalex.org/I37987034"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100386867","display_name":"Fang Fang","orcid":"https://orcid.org/0000-0002-6582-6570"},"institutions":[{"id":"https://openalex.org/I125749732","display_name":"Western University","ror":"https://ror.org/02grkyz14","country_code":"CA","type":"education","lineage":["https://openalex.org/I125749732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Fang Fang","raw_affiliation_strings":["Department of Electrical and Computer Engineering and Department of Computer Science, Western University, London, ON, Canada"],"raw_orcid":"https://orcid.org/0000-0002-6582-6570","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering and Department of Computer Science, Western University, London, ON, Canada","institution_ids":["https://openalex.org/I125749732"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108049716","display_name":"Wei Chen","orcid":"https://orcid.org/0000-0002-9066-1448"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Chen","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-9066-1448","affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12553795,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"18","issue":"3","first_page":"1776","last_page":"1785"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10796","display_name":"Cooperative Communication and Network Coding","score":0.9983000159263611,"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/T10796","display_name":"Cooperative Communication and Network Coding","score":0.9983000159263611,"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/T11478","display_name":"Caching and Content Delivery","score":0.9975000023841858,"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/T11321","display_name":"Error Correcting Code Techniques","score":0.9962000250816345,"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/fading","display_name":"Fading","score":0.8283674120903015},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.733421266078949},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6371212005615234},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.34569287300109863},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.2955435514450073},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2801837921142578}],"concepts":[{"id":"https://openalex.org/C81978471","wikidata":"https://www.wikidata.org/wiki/Q1196572","display_name":"Fading","level":3,"score":0.8283674120903015},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.733421266078949},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6371212005615234},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.34569287300109863},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.2955435514450073},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2801837921142578}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jsyst.2024.3442958","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsyst.2024.3442958","pdf_url":null,"source":{"id":"https://openalex.org/S95999327","display_name":"IEEE Systems Journal","issn_l":"1932-8184","issn":["1932-8184","1937-9234","2373-7816"],"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 Systems Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5103494867","display_name":null,"funder_award_id":"62394331","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"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":44,"referenced_works":["https://openalex.org/W595252221","https://openalex.org/W1980516134","https://openalex.org/W2000444555","https://openalex.org/W2102019950","https://openalex.org/W2165723962","https://openalex.org/W2747746134","https://openalex.org/W2794673877","https://openalex.org/W2800086317","https://openalex.org/W2963991174","https://openalex.org/W2971156130","https://openalex.org/W2978510400","https://openalex.org/W2981618170","https://openalex.org/W2984041531","https://openalex.org/W3011498824","https://openalex.org/W3017065515","https://openalex.org/W3027857024","https://openalex.org/W3037798974","https://openalex.org/W3041552970","https://openalex.org/W3048552011","https://openalex.org/W3081523688","https://openalex.org/W3094622999","https://openalex.org/W3111674505","https://openalex.org/W3120770059","https://openalex.org/W3123440119","https://openalex.org/W3150521705","https://openalex.org/W3166024011","https://openalex.org/W3185443634","https://openalex.org/W3195241811","https://openalex.org/W3199166031","https://openalex.org/W3210635777","https://openalex.org/W4205923567","https://openalex.org/W4210381730","https://openalex.org/W4212799982","https://openalex.org/W4212888567","https://openalex.org/W4225571404","https://openalex.org/W4280573532","https://openalex.org/W4285159124","https://openalex.org/W4296913252","https://openalex.org/W4323544023","https://openalex.org/W4382203381","https://openalex.org/W4386869737","https://openalex.org/W4387717579","https://openalex.org/W6638018090","https://openalex.org/W6736057607"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2327053383","https://openalex.org/W2356834760","https://openalex.org/W1964600846","https://openalex.org/W2127563499","https://openalex.org/W2030191005","https://openalex.org/W1865172210","https://openalex.org/W2027568561","https://openalex.org/W2790025453"],"abstract_inverted_index":{"Edge":[0],"caching":[1,47,56],"is":[2,68],"expected":[3],"to":[4,39,70,80,103,120,139,156],"alleviate":[5],"the":[6,17,29,40,46,65,75,82,107,122,126,132,141,158,161,168,172],"traffic":[7],"consumption":[8],"in":[9,20,49,106,180],"next-generation":[10],"communications.":[11],"In":[12],"this":[13],"article,":[14],"we":[15,52,113],"consider":[16],"transmission":[18,143],"delay":[19,144,184],"wideband":[21,31],"communications":[22],"deteriorated":[23],"by":[24,85],"rapid":[25],"user":[26,41],"movements,":[27],"where":[28],"frequency-selective":[30],"fading":[32,111],"channels":[33,135],"become":[34],"fast":[35],"time-varying":[36],"and":[37,58,89,136,164,185],"hencedoubly-selectivedue":[38],"movements.":[42],"To":[43],"preferably":[44],"allocate":[45],"resource":[48],"such":[50],"circumstance,":[51],"introduce":[53],"a":[54,92,115,148],"coordinated":[55],"network":[57],"accordingly":[59,137],"formulate":[60],"an":[61],"allocation":[62],"problem.":[63,124],"However,":[64],"formulated":[66,123],"problem":[67,84],"shown":[69],"be":[71,96],"NP-hard.":[72],"By":[73],"considering":[74,90],"extremely":[76],"high":[77],"computational":[78],"complexity":[79],"solve":[81],"NP-hard":[83],"traditional":[86],"optimization":[87],"algorithm,":[88],"only":[91,146],"few":[93,149],"samples":[94],"can":[95,129],"obtained":[97],"for":[98],"each":[99],"training":[100,150],"instance":[101],"due":[102],"shortened":[104],"coherence-time":[105],"dynamical":[108],"doubly":[109],"selective":[110],"channels,":[112],"propose":[114],"model-agnostic":[116],"meta-reinforcement":[117],"learning":[118,179],"method":[119,128,163,176],"address":[121],"Particularly,":[125],"proposed":[127,162,169],"efficiently":[130],"recognize":[131],"unstable":[133],"mobile":[134],"cache":[138,186],"reduce":[140],"overall":[142],"while":[145],"requires":[147],"samples.":[151],"Numerical":[152],"simulations":[153],"are":[154],"performed":[155],"verify":[157],"effectiveness":[159],"of":[160,177,182],"results":[165],"show":[166],"that":[167],"one":[170],"outperforms":[171],"commonly":[173],"adopted":[174],"existing":[175],"deep-deterministic-policy-gradient":[178],"terms":[181],"average":[183],"hit":[187],"rate.":[188]},"counts_by_year":[],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}