{"id":"https://openalex.org/W4210713758","doi":"https://doi.org/10.1109/globecom46510.2021.9685947","title":"Content Popularity Prediction in Fog-RANs: A Bayesian Learning Approach","display_name":"Content Popularity Prediction in Fog-RANs: A Bayesian Learning Approach","publication_year":2021,"publication_date":"2021-12-01","ids":{"openalex":"https://openalex.org/W4210713758","doi":"https://doi.org/10.1109/globecom46510.2021.9685947"},"language":"en","primary_location":{"id":"doi:10.1109/globecom46510.2021.9685947","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom46510.2021.9685947","pdf_url":null,"source":{"id":"https://openalex.org/S4363607714","display_name":"2021 IEEE Global Communications Conference (GLOBECOM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Global Communications Conference (GLOBECOM)","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/A5036833081","display_name":"Yunwei Tao","orcid":"https://orcid.org/0000-0001-9726-0252"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunwei Tao","raw_affiliation_strings":["National Mobile Communications Research Laboratory, Southeast University,Nanjing,China,210096"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Mobile Communications Research Laboratory, Southeast University,Nanjing,China,210096","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014004455","display_name":"Yanxiang Jiang","orcid":"https://orcid.org/0000-0001-8062-7767"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]},{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanxiang Jiang","raw_affiliation_strings":["National Mobile Communications Research Laboratory, Southeast University,Nanjing,China,210096","School of Electronic and Information Engineering, Harbin Institute of Technology, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Mobile Communications Research Laboratory, Southeast University,Nanjing,China,210096","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"School of Electronic and Information Engineering, Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016793245","display_name":"Fu\u2010Chun Zheng","orcid":"https://orcid.org/0000-0003-3184-3054"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]},{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fu-Chun Zheng","raw_affiliation_strings":["National Mobile Communications Research Laboratory, Southeast University,Nanjing,China,210096","School of Electronic and Information Engineering, Harbin Institute of Technology, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Mobile Communications Research Laboratory, Southeast University,Nanjing,China,210096","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"School of Electronic and Information Engineering, Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061429095","display_name":"Mehdi Bennis","orcid":"https://orcid.org/0000-0003-0261-0171"},"institutions":[{"id":"https://openalex.org/I98381234","display_name":"University of Oulu","ror":"https://ror.org/03yj89h83","country_code":"FI","type":"education","lineage":["https://openalex.org/I98381234"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Mehdi Bennis","raw_affiliation_strings":["University of Oulu,Centre for Wireless Communications,Oulu,Finland,90014"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Oulu,Centre for Wireless Communications,Oulu,Finland,90014","institution_ids":["https://openalex.org/I98381234"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072916702","display_name":"Xiaohu You","orcid":"https://orcid.org/0000-0002-0809-8511"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohu You","raw_affiliation_strings":["National Mobile Communications Research Laboratory, Southeast University,Nanjing,China,210096"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Mobile Communications Research Laboratory, Southeast University,Nanjing,China,210096","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"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":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":0.9957000017166138,"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/T12238","display_name":"Green IT and Sustainability","score":0.9868999719619751,"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":0.7201509475708008},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.5419751405715942},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.5418340563774109},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.49803662300109863},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4858538806438446},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4535277485847473},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18392249941825867},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15872153639793396}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7201509475708008},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.5419751405715942},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.5418340563774109},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.49803662300109863},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4858538806438446},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4535277485847473},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18392249941825867},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15872153639793396},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/globecom46510.2021.9685947","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom46510.2021.9685947","pdf_url":null,"source":{"id":"https://openalex.org/S4363607714","display_name":"2021 IEEE Global Communications Conference (GLOBECOM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Global Communications Conference (GLOBECOM)","raw_type":"proceedings-article"},{"id":"pmh:oai:oulu.fi:nbnfi-fe2023040535117","is_oa":false,"landing_page_url":"http://urn.fi/urn:nbn:fi-fe2023040535117","pdf_url":null,"source":{"id":"https://openalex.org/S4306400284","display_name":"University of Oulu Repository (University of Oulu)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98381234","host_organization_name":"University of Oulu","host_organization_lineage":["https://openalex.org/I98381234"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","score":0.4099999964237213,"display_name":"Partnerships for the goals"}],"awards":[{"id":"https://openalex.org/G1201895806","display_name":null,"funder_award_id":"BK20181264","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G2051078533","display_name":"\u96fe\u65e0\u7ebf\u63a5\u5165\u7f51\u4f4e\u65f6\u5ef6\u9ad8\u80fd\u6548\u8fb9\u7f18\u7f13\u5b58\u7406\u8bba\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61971129","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"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1502922572","https://openalex.org/W2009708702","https://openalex.org/W2081646413","https://openalex.org/W2144193737","https://openalex.org/W2219888463","https://openalex.org/W2592755103","https://openalex.org/W2746390786","https://openalex.org/W2900490252","https://openalex.org/W2907932505","https://openalex.org/W2982287213","https://openalex.org/W3025543640","https://openalex.org/W3046032603","https://openalex.org/W3088733992","https://openalex.org/W3125471574","https://openalex.org/W6681286327"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W3046775127","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474"],"abstract_inverted_index":{"In":[0,17],"this":[1,90],"paper,":[2],"the":[3,21,40,45,65,85,105,117,129,136],"content":[4,22,41,48,112],"popularity":[5,23,51,113],"prediction":[6],"problem":[7],"in":[8],"cache-enabled":[9],"fog":[10],"radio":[11],"access":[12],"networks":[13],"(F-RANs)":[14],"is":[15,52],"investigated.":[16],"order":[18],"to":[19,38,63,71,79,103],"predict":[20],"with":[24],"high":[25],"accuracy":[26],"and":[27,50,122],"low":[28],"complexity,":[29],"we":[30,59,92],"propose":[31],"a":[32,81,94],"Gaussian":[33],"process":[34],"based":[35,138,143],"Poisson":[36],"regressor":[37],"model":[39,66],"request":[42],"pattern.":[43],"Firstly,":[44],"relationship":[46],"between":[47],"features":[49],"captured":[53],"by":[54],"our":[55,132],"developed":[56],"model.":[57],"Then,":[58],"utilize":[60],"Bayesian":[61,74],"learning":[62],"learn":[64],"parameters,":[67],"which":[68],"are":[69,76,114],"robust":[70],"over-fitting.":[72],"However,":[73],"methods":[75],"usually":[77],"unable":[78],"find":[80],"closed-form":[82],"expression":[83],"of":[84,110,119,131],"posterior":[86,106],"distribution.":[87,107],"To":[88],"tackle":[89],"issue,":[91],"apply":[93],"Stochastic":[95],"Variance":[96],"Reduced":[97],"Gradient":[98],"Hamiltonian":[99],"Monte":[100,141],"Carlo":[101,142],"(SVRG-HMC)":[102],"approximate":[104],"Two":[108],"types":[109],"predictive":[111],"formulated":[115],"for":[116],"requests":[118],"existing":[120],"contents":[121],"newly-added":[123],"contents.":[124],"Simulation":[125],"results":[126],"show":[127],"that":[128],"performance":[130],"proposed":[133],"policy":[134,137],"outperforms":[135],"on":[139],"other":[140],"method.":[144]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
