{"id":"https://openalex.org/W2026495621","doi":"https://doi.org/10.1109/glocomw.2014.7063541","title":"Optimal caching for device-to-device content distribution in 5G networks","display_name":"Optimal caching for device-to-device content distribution in 5G networks","publication_year":2014,"publication_date":"2014-12-01","ids":{"openalex":"https://openalex.org/W2026495621","doi":"https://doi.org/10.1109/glocomw.2014.7063541","mag":"2026495621"},"language":"en","primary_location":{"id":"doi:10.1109/glocomw.2014.7063541","is_oa":false,"landing_page_url":"https://doi.org/10.1109/glocomw.2014.7063541","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Globecom Workshops (GC Wkshps)","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/A5091783801","display_name":"Derya Malak","orcid":"https://orcid.org/0000-0002-5991-6641"},"institutions":[{"id":"https://openalex.org/I4210146936","display_name":"Huawei Technologies (United States)","ror":"https://ror.org/03jyqk712","country_code":"US","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210146936"]},{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Derya Malak","raw_affiliation_strings":["WNCG, The University of Texas at Austin, Huawei Technologies, USA","WNCG, The University of Texas at Austin, USA"],"affiliations":[{"raw_affiliation_string":"WNCG, The University of Texas at Austin, Huawei Technologies, USA","institution_ids":["https://openalex.org/I4210146936","https://openalex.org/I86519309"]},{"raw_affiliation_string":"WNCG, The University of Texas at Austin, USA","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051265229","display_name":"Mazin Al\u2010Shalash","orcid":null},"institutions":[{"id":"https://openalex.org/I4210146936","display_name":"Huawei Technologies (United States)","ror":"https://ror.org/03jyqk712","country_code":"US","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210146936"]},{"id":"https://openalex.org/I4210160618","display_name":"Huawei Technologies (United Kingdom)","ror":"https://ror.org/056gzgs71","country_code":"GB","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210160618"]},{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["GB","US"],"is_corresponding":false,"raw_author_name":"Mazin Al-Shalash","raw_affiliation_strings":["WNCG, The University of Texas at Austin, Huawei Technologies, USA","HuaWei technologies"],"affiliations":[{"raw_affiliation_string":"WNCG, The University of Texas at Austin, Huawei Technologies, USA","institution_ids":["https://openalex.org/I4210146936","https://openalex.org/I86519309"]},{"raw_affiliation_string":"HuaWei technologies","institution_ids":["https://openalex.org/I4210160618"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5091783801"],"corresponding_institution_ids":["https://openalex.org/I4210146936","https://openalex.org/I86519309"],"apc_list":null,"apc_paid":null,"fwci":11.3788,"has_fulltext":false,"cited_by_count":76,"citation_normalized_percentile":{"value":0.98654995,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"863","last_page":"868"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11478","display_name":"Caching and Content Delivery","score":0.9991999864578247,"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":0.9991999864578247,"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9937999844551086,"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"}},{"id":"https://openalex.org/T11896","display_name":"Opportunistic and Delay-Tolerant Networks","score":0.9902999997138977,"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/zipfs-law","display_name":"Zipf's law","score":0.8562902808189392},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6786911487579346},{"id":"https://openalex.org/keywords/distribution","display_name":"Distribution (mathematics)","score":0.6002885699272156},{"id":"https://openalex.org/keywords/probability-distribution","display_name":"Probability distribution","score":0.4990386962890625},{"id":"https://openalex.org/keywords/content-distribution","display_name":"Content distribution","score":0.4947180449962616},{"id":"https://openalex.org/keywords/poisson-distribution","display_name":"Poisson distribution","score":0.46221062541007996},{"id":"https://openalex.org/keywords/cache","display_name":"Cache","score":0.43461596965789795},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.4274847209453583},{"id":"https://openalex.org/keywords/content","display_name":"Content (measure theory)","score":0.4153901934623718},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.35400158166885376},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.29854071140289307},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21949005126953125},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.19716715812683105}],"concepts":[{"id":"https://openalex.org/C125932096","wikidata":"https://www.wikidata.org/wiki/Q205472","display_name":"Zipf's law","level":2,"score":0.8562902808189392},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6786911487579346},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.6002885699272156},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.4990386962890625},{"id":"https://openalex.org/C3018752578","wikidata":"https://www.wikidata.org/wiki/Q269415","display_name":"Content distribution","level":2,"score":0.4947180449962616},{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.46221062541007996},{"id":"https://openalex.org/C115537543","wikidata":"https://www.wikidata.org/wiki/Q165596","display_name":"Cache","level":2,"score":0.43461596965789795},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.4274847209453583},{"id":"https://openalex.org/C2778152352","wikidata":"https://www.wikidata.org/wiki/Q5165061","display_name":"Content (measure theory)","level":2,"score":0.4153901934623718},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.35400158166885376},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.29854071140289307},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21949005126953125},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.19716715812683105},{"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/glocomw.2014.7063541","is_oa":false,"landing_page_url":"https://doi.org/10.1109/glocomw.2014.7063541","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Globecom Workshops (GC Wkshps)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1550774584","https://openalex.org/W1558559965","https://openalex.org/W1611674276","https://openalex.org/W1964721119","https://openalex.org/W1971814938","https://openalex.org/W2009708702","https://openalex.org/W2054581561","https://openalex.org/W2067309023","https://openalex.org/W2101015150","https://openalex.org/W2108090232","https://openalex.org/W2109381211","https://openalex.org/W2109383955","https://openalex.org/W2150166076","https://openalex.org/W2156077514","https://openalex.org/W2962981229","https://openalex.org/W2964101002","https://openalex.org/W3103426447","https://openalex.org/W6632890943"],"related_works":["https://openalex.org/W3123832408","https://openalex.org/W2137719806","https://openalex.org/W2044606595","https://openalex.org/W2744330362","https://openalex.org/W2096748633","https://openalex.org/W2963431268","https://openalex.org/W2063584014","https://openalex.org/W3131094596","https://openalex.org/W2146223937","https://openalex.org/W2165913690"],"abstract_inverted_index":{"Content":[0],"distribution":[1,33,41,61,68,130,147,162,190],"using":[2],"direct":[3],"device-to-device":[4],"D2D":[5,35,116],"communication":[6],"is":[7,69,191],"a":[8,92,145,164,177,199],"promising":[9],"approach":[10],"for":[11,34],"optimizing":[12],"the":[13,30,40,50,56,60,76,106,113,127,133,159,168,187,203],"utilization":[14,52],"of":[15,42,53,62,91,108,115,136,186],"air-interface":[16],"resources":[17],"in":[18,22,46,112],"5G":[19],"network.":[20],"Research":[21],"this":[23,81],"area":[24],"has":[25],"indicated,":[26],"perhaps":[27],"unexpectedly,":[28],"that":[29,131,158],"optimal":[31,66,160,188],"caching":[32,67,129,161,189],"content":[36,77,110,137],"does":[37],"not":[38,73],"match":[39],"user":[43,140],"demands/requests.":[44],"Therefore,":[45],"order":[47],"to":[48,104,193],"achieve":[49],"best":[51,128],"network":[54,57],"resources,":[55],"should":[58],"bias":[59],"cached":[63],"content.":[64],"The":[65,180],"dependent":[70],"on,":[71],"but":[72],"identical":[74],"to,":[75],"demand":[78,169],"distribution.":[79,179],"In":[80],"paper":[82],"we":[83],"model":[84],"transmitting":[85],"and":[86,98,118,125,171],"receiving":[87],"devices":[88],"as":[89,167,176],"member":[90],"homogeneous":[93],"Poisson":[94],"Point":[95],"Process":[96],"(PPP),":[97],"use":[99],"results":[100,156],"from":[101],"stochastic":[102],"geometry":[103],"derive":[105],"probability":[107,135],"successful":[109],"delivery":[111],"presence":[114],"interference":[117],"noise.":[119],"We":[120],"formulate":[121],"an":[122],"optimization":[123],"problem,":[124],"find":[126],"maximizes":[132],"total":[134],"delivery,":[138],"assuming":[139],"demands/requests":[141],"are":[142],"modeled":[143,175],"by":[144],"Zipf":[146,178],"with":[148],"exponent":[149,181],"\u03b3":[150,182,194],"<sub":[151,183,195],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[152,184,196],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">r</sub>":[153,197],".":[154],"Our":[155],"show":[157],"follows":[163],"similar":[165],"trend":[166],"distribution,":[170],"can":[172],"also":[173],"be":[174],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">c</sub>":[185],"related":[192],"through":[198],"simple":[200],"expression":[201],"involving":[202],"path":[204],"loss":[205],"exponent.":[206]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":15},{"year":2017,"cited_by_count":14},{"year":2016,"cited_by_count":14},{"year":2015,"cited_by_count":5}],"updated_date":"2026-02-11T14:41:00.668223","created_date":"2025-10-10T00:00:00"}