{"id":"https://openalex.org/W2165303525","doi":"https://doi.org/10.1109/glocom.2003.1258369","title":"An analytical foundation for resource management in wireless communication","display_name":"An analytical foundation for resource management in wireless communication","publication_year":2004,"publication_date":"2004-07-08","ids":{"openalex":"https://openalex.org/W2165303525","doi":"https://doi.org/10.1109/glocom.2003.1258369","mag":"2165303525"},"language":"en","primary_location":{"id":"doi:10.1109/glocom.2003.1258369","is_oa":false,"landing_page_url":"https://doi.org/10.1109/glocom.2003.1258369","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM '03. IEEE Global Telecommunications Conference (IEEE Cat. No.03CH37489)","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/A5018100007","display_name":"Virgilio Rodriguez","orcid":"https://orcid.org/0000-0001-5251-6779"},"institutions":[{"id":"https://openalex.org/I90965887","display_name":"SUNY Polytechnic Institute","ror":"https://ror.org/000fxgx19","country_code":"US","type":"education","lineage":["https://openalex.org/I90965887"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"V. Rodriguez","raw_affiliation_strings":["ECE Department, Polytechnic University, Brooklyn, NY, USA"],"affiliations":[{"raw_affiliation_string":"ECE Department, Polytechnic University, Brooklyn, NY, USA","institution_ids":["https://openalex.org/I90965887"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5018100007"],"corresponding_institution_ids":["https://openalex.org/I90965887"],"apc_list":null,"apc_paid":null,"fwci":4.2342,"has_fulltext":false,"cited_by_count":127,"citation_normalized_percentile":{"value":0.94783984,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"2","issue":null,"first_page":"898","last_page":"902"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10575","display_name":"Wireless Communication Networks Research","score":0.9970999956130981,"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/T10575","display_name":"Wireless Communication Networks Research","score":0.9970999956130981,"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/T11130","display_name":"Coding theory and cryptography","score":0.9915000200271606,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10792","display_name":"Matrix Theory and Algorithms","score":0.9914000034332275,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/wireless","display_name":"Wireless","score":0.6305120587348938},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.5914266705513},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5661970376968384},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.509624719619751},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.48497867584228516},{"id":"https://openalex.org/keywords/univariate","display_name":"Univariate","score":0.4546615481376648},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.4268389940261841},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.42552900314331055},{"id":"https://openalex.org/keywords/sigmoid-function","display_name":"Sigmoid function","score":0.42176857590675354},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.38238850235939026},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3297986388206482},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2932354807853699},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.20962035655975342},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1493716835975647},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.12105417251586914},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.11830401420593262}],"concepts":[{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.6305120587348938},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.5914266705513},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5661970376968384},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.509624719619751},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.48497867584228516},{"id":"https://openalex.org/C199163554","wikidata":"https://www.wikidata.org/wiki/Q1681619","display_name":"Univariate","level":3,"score":0.4546615481376648},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.4268389940261841},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.42552900314331055},{"id":"https://openalex.org/C81388566","wikidata":"https://www.wikidata.org/wiki/Q526668","display_name":"Sigmoid function","level":3,"score":0.42176857590675354},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.38238850235939026},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3297986388206482},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2932354807853699},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.20962035655975342},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1493716835975647},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.12105417251586914},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.11830401420593262},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/glocom.2003.1258369","is_oa":false,"landing_page_url":"https://doi.org/10.1109/glocom.2003.1258369","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM '03. IEEE Global Telecommunications Conference (IEEE Cat. No.03CH37489)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.3.4040","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.3.4040","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://eeweb.poly.edu/dream-it/publications/globecom_virgil03.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.5,"id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2064551963","https://openalex.org/W2093156090","https://openalex.org/W2097415784","https://openalex.org/W2110326814","https://openalex.org/W2114430285","https://openalex.org/W2118655087","https://openalex.org/W2136157118","https://openalex.org/W2167144534","https://openalex.org/W2595897327","https://openalex.org/W6673920812","https://openalex.org/W6674801067"],"related_works":["https://openalex.org/W4385957115","https://openalex.org/W2061372042","https://openalex.org/W3047779762","https://openalex.org/W1520030019","https://openalex.org/W2071654592","https://openalex.org/W3104477175","https://openalex.org/W2088157920","https://openalex.org/W1828158523","https://openalex.org/W4313324256","https://openalex.org/W2919730180"],"abstract_inverted_index":{"The":[0,102],"maximization":[1],"of":[2,5,132],"a":[3,14,28,46,79,93,129],"ratio":[4,74],"the":[6,65,73,112,123],"form":[7,120],"f(x)/x,":[8,75],"with":[9,64],"f":[10,77],"some":[11],"\"S-curve\",":[12],"plays":[13],"central":[15],"role":[16],"in":[17,45],"several":[18],"important":[19],"problems":[20],"involving":[21],"resource":[22],"management":[23],"for":[24,41,55],"data":[25,38],"communication":[26],"over":[27],"wireless":[29],"medium.":[30],"This":[31],"includes":[32],"decentralized":[33],"power":[34,36,50],"control,":[35],"and":[37,49,51,67,89],"rate":[39,53],"assignment":[40],"maximal":[42],"network":[43],"throughput":[44],"3G-CDMA":[47],"context,":[48],"coding":[52],"choice":[54],"multimedia":[56],"files":[57],"which":[58,97],"have":[59,92],"been":[60],"scalably":[61],"encoded,":[62],"as":[63],"JPEG-2000":[66],"MPEG-4":[68],"standards.":[69],"In":[70],"this":[71],"note,":[72],"where":[76],"is":[78,84,104],"real-valued,":[80],"univariate":[81],"\"s-shaped\"":[82],"function,":[83],"shown":[85],"to":[86,90,128],"be":[87,99],"quasiconcave,":[88],"always":[91],"unique":[94],"global":[95],"maximizer,":[96],"can":[98],"identified":[100],"graphically.":[101],"analysis":[103],"strictly":[105],"based":[106],"on":[107,122],"geometrical":[108],"properties":[109],"derived":[110],"from":[111],"sigmoidal":[113],"shape,":[114],"imposing":[115],"no":[116],"specific":[117],"algebraic":[118],"functional":[119],"(\"equation\")":[121],"function.":[124],"Hence,":[125],"it":[126],"applies":[127],"wide":[130],"range":[131],"practical":[133],"situations.":[134]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":8},{"year":2014,"cited_by_count":13},{"year":2013,"cited_by_count":13},{"year":2012,"cited_by_count":18}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
