{"id":"https://openalex.org/W2584056816","doi":"https://doi.org/10.1109/glocom.2016.7841931","title":"Joint Resource Allocation and User Association in Multi-Antenna Heterogeneous Networks","display_name":"Joint Resource Allocation and User Association in Multi-Antenna Heterogeneous Networks","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2584056816","doi":"https://doi.org/10.1109/glocom.2016.7841931","mag":"2584056816"},"language":"en","primary_location":{"id":"doi:10.1109/glocom.2016.7841931","is_oa":false,"landing_page_url":"https://doi.org/10.1109/glocom.2016.7841931","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 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/A5040294474","display_name":"Ghaith Hattab","orcid":"https://orcid.org/0000-0001-9190-1573"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ghaith Hattab","raw_affiliation_strings":["Department of Electrical Engineering, University of California, Los Angeles"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of California, Los Angeles","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008128583","display_name":"Danijela \u010cabri\u0107","orcid":"https://orcid.org/0000-0002-5967-2683"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Danijela Cabric","raw_affiliation_strings":["Department of Electrical Engineering, University of California, Los Angeles"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of California, Los Angeles","institution_ids":["https://openalex.org/I161318765"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I161318765"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"95","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10148","display_name":"Advanced MIMO Systems Optimization","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10148","display_name":"Advanced MIMO Systems Optimization","score":1.0,"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/T11409","display_name":"Advanced Wireless Network Optimization","score":0.9995999932289124,"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/T10796","display_name":"Cooperative Communication and Network Coding","score":0.9993000030517578,"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":0.7312169671058655},{"id":"https://openalex.org/keywords/resource-allocation","display_name":"Resource allocation","score":0.7280396223068237},{"id":"https://openalex.org/keywords/telecommunications-link","display_name":"Telecommunications link","score":0.6753078699111938},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5071227550506592},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"Convex optimization","score":0.5052617192268372},{"id":"https://openalex.org/keywords/transmitter-power-output","display_name":"Transmitter power output","score":0.500676155090332},{"id":"https://openalex.org/keywords/association","display_name":"Association (psychology)","score":0.4980740547180176},{"id":"https://openalex.org/keywords/resource-management","display_name":"Resource management (computing)","score":0.4887197017669678},{"id":"https://openalex.org/keywords/macro","display_name":"Macro","score":0.4656468331813812},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4528152048587799},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2967991828918457},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.26231706142425537},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13097986578941345},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1292605698108673}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7312169671058655},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.7280396223068237},{"id":"https://openalex.org/C138660444","wikidata":"https://www.wikidata.org/wiki/Q5607897","display_name":"Telecommunications link","level":2,"score":0.6753078699111938},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5071227550506592},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.5052617192268372},{"id":"https://openalex.org/C65422117","wikidata":"https://www.wikidata.org/wiki/Q358527","display_name":"Transmitter power output","level":4,"score":0.500676155090332},{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.4980740547180176},{"id":"https://openalex.org/C2780609101","wikidata":"https://www.wikidata.org/wiki/Q17156588","display_name":"Resource management (computing)","level":2,"score":0.4887197017669678},{"id":"https://openalex.org/C166955791","wikidata":"https://www.wikidata.org/wiki/Q629579","display_name":"Macro","level":2,"score":0.4656468331813812},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4528152048587799},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2967991828918457},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.26231706142425537},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13097986578941345},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1292605698108673},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C47798520","wikidata":"https://www.wikidata.org/wiki/Q190157","display_name":"Transmitter","level":3,"score":0.0},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/glocom.2016.7841931","is_oa":false,"landing_page_url":"https://doi.org/10.1109/glocom.2016.7841931","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Global Communications Conference (GLOBECOM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W631335369","https://openalex.org/W1522045078","https://openalex.org/W1990810841","https://openalex.org/W2010630450","https://openalex.org/W2013366448","https://openalex.org/W2034420299","https://openalex.org/W2039688938","https://openalex.org/W2054692642","https://openalex.org/W2076933439","https://openalex.org/W2109159967","https://openalex.org/W2136530738","https://openalex.org/W2155860576","https://openalex.org/W2164179872","https://openalex.org/W2182484825","https://openalex.org/W2493309683","https://openalex.org/W2963533254","https://openalex.org/W3101445254","https://openalex.org/W3102351675","https://openalex.org/W3113221786","https://openalex.org/W4250589301"],"related_works":["https://openalex.org/W2160044169","https://openalex.org/W2922528709","https://openalex.org/W3185837504","https://openalex.org/W2139244120","https://openalex.org/W2558107934","https://openalex.org/W3182660834","https://openalex.org/W3145680184","https://openalex.org/W2807822357","https://openalex.org/W2740113683","https://openalex.org/W3124399021"],"abstract_inverted_index":{"We":[0,53,90],"study":[1],"the":[2,23,26,47,50,56,62,71,77,93,104],"joint":[3,72],"optimization":[4,73,117],"of":[5,49,70,98],"resource":[6,17,95,130,143],"allocation":[7,18,96,131,144],"and":[8,65],"user":[9,27,41,87,136,147],"association":[10,28,88,106,137],"in":[11,22,138],"downlink":[12],"multi-antenna":[13],"heterogeneous":[14],"networks.":[15],"The":[16,35],"is":[19,29,37,101,132],"done":[20],"orthogonally":[21],"spectrum":[24],"while":[25],"implemented":[30],"using":[31,113],"cell":[32],"range":[33],"extension.":[34],"objective":[36],"to":[38,55,60,103,124],"maximize":[39],"a":[40,67,80,85,114],"utility":[42],"function":[43],"that":[44,92],"depends":[45],"on":[46],"rate":[48,127],"typical":[51],"user.":[52],"resort":[54],"Gil-Pelaez":[57],"Inversion":[58],"Theorem":[59],"approximate":[61],"coverage":[63],"probability":[64],"present":[66],"concave":[68],"formulation":[69],"problem.":[74],"By":[75],"interpreting":[76],"problem":[78],"as":[79],"multi-criterion":[81],"one,":[82],"we":[83],"propose":[84],"suboptimal":[86],"policy.":[89],"show":[91,121],"optimal":[94,105],"factor":[97],"each":[99],"tier":[100],"equal":[102],"probability,":[107],"which":[108],"can":[109],"be":[110],"efficiently":[111],"computed":[112],"standard":[115],"convex":[116],"solver.":[118],"Simulation":[119],"results":[120],"significant":[122],"(up":[123],"three":[125],"times)":[126],"gains":[128],"when":[129],"jointly":[133],"optimized":[134],"with":[135,140,145],"comparison":[139],"merely":[141],"optimizing":[142],"max-power":[146],"association.":[148]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":5}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}