{"id":"https://openalex.org/W4386453616","doi":"https://doi.org/10.1109/tit.2023.3312134","title":"Maximizing Weighted Sum-Rate Over Gaussian Broadcast Channels","display_name":"Maximizing Weighted Sum-Rate Over Gaussian Broadcast Channels","publication_year":2023,"publication_date":"2023-09-05","ids":{"openalex":"https://openalex.org/W4386453616","doi":"https://doi.org/10.1109/tit.2023.3312134"},"language":"en","primary_location":{"id":"doi:10.1109/tit.2023.3312134","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/tit.2023.3312134","pdf_url":null,"source":{"id":"https://openalex.org/S4502562","display_name":"IEEE Transactions on Information Theory","issn_l":"0018-9448","issn":["0018-9448","1557-9654"],"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 Transactions on Information Theory","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/A5036031118","display_name":"Peng\u2010Jun Wan","orcid":"https://orcid.org/0000-0001-7926-5711"},"institutions":[{"id":"https://openalex.org/I180949307","display_name":"Illinois Institute of Technology","ror":"https://ror.org/037t3ry66","country_code":"US","type":"education","lineage":["https://openalex.org/I180949307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peng-Jun Wan","raw_affiliation_strings":["Department of Computer Science, Illinois Institute of Technology, Chicago, IL, USA"],"raw_orcid":"https://orcid.org/0000-0001-7926-5711","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Illinois Institute of Technology, Chicago, IL, USA","institution_ids":["https://openalex.org/I180949307"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064025328","display_name":"Pengpeng Chen","orcid":"https://orcid.org/0000-0002-3720-0175"},"institutions":[{"id":"https://openalex.org/I180949307","display_name":"Illinois Institute of Technology","ror":"https://ror.org/037t3ry66","country_code":"US","type":"education","lineage":["https://openalex.org/I180949307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pengpeng Chen","raw_affiliation_strings":["Department of Computer Science, Illinois Institute of Technology, Chicago, IL, USA"],"raw_orcid":"https://orcid.org/0000-0002-3720-0175","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Illinois Institute of Technology, Chicago, IL, USA","institution_ids":["https://openalex.org/I180949307"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I180949307"],"apc_list":null,"apc_paid":null,"fwci":0.2323,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.51286,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"70","issue":"4","first_page":"2922","last_page":"2935"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11458","display_name":"Advanced Wireless Communication Technologies","score":0.9998000264167786,"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/T11458","display_name":"Advanced Wireless Communication Technologies","score":0.9998000264167786,"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/T10964","display_name":"Wireless Communication Security Techniques","score":0.9990000128746033,"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":0.9969000220298767,"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/gaussian","display_name":"Gaussian","score":0.6425247192382812},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.6050048470497131},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5551387071609497},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.503889262676239},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.436767041683197},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.42759066820144653},{"id":"https://openalex.org/keywords/approximation-algorithm","display_name":"Approximation algorithm","score":0.41323018074035645},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37691470980644226},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.3583714962005615},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3502488136291504},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3377530574798584},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09787800908088684}],"concepts":[{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.6425247192382812},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.6050048470497131},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5551387071609497},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.503889262676239},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.436767041683197},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.42759066820144653},{"id":"https://openalex.org/C148764684","wikidata":"https://www.wikidata.org/wiki/Q621751","display_name":"Approximation algorithm","level":2,"score":0.41323018074035645},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37691470980644226},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.3583714962005615},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3502488136291504},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3377530574798584},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09787800908088684},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tit.2023.3312134","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/tit.2023.3312134","pdf_url":null,"source":{"id":"https://openalex.org/S4502562","display_name":"IEEE Transactions on Information Theory","issn_l":"0018-9448","issn":["0018-9448","1557-9654"],"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 Transactions on Information Theory","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.4000000059604645,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W595252221","https://openalex.org/W1967241124","https://openalex.org/W1976080419","https://openalex.org/W1996641400","https://openalex.org/W1997834106","https://openalex.org/W2033020033","https://openalex.org/W2040082383","https://openalex.org/W2094458162","https://openalex.org/W2099111195","https://openalex.org/W2102412823","https://openalex.org/W2150240794","https://openalex.org/W2296441616","https://openalex.org/W2400480905","https://openalex.org/W2769456309","https://openalex.org/W2964008556","https://openalex.org/W3006316852","https://openalex.org/W3013872719","https://openalex.org/W4252713891"],"related_works":["https://openalex.org/W1976985527","https://openalex.org/W3122413977","https://openalex.org/W2354034738","https://openalex.org/W1963716487","https://openalex.org/W2140288152","https://openalex.org/W2382303592","https://openalex.org/W1489340745","https://openalex.org/W2963637926","https://openalex.org/W2030016043","https://openalex.org/W1534072310"],"abstract_inverted_index":{"A":[0],"power":[1,9,49,97,159,185],"assignment":[2,50,98],"over":[3,51,99],"Gaussian":[4,53,101,198,206],"broadcast":[5,54,102,199],"channels":[6,208],"splits":[7],"the":[8,12,24,32,109,132,144,162,173,176,184,211],"budget":[10,160],"at":[11,161],"access":[13,163],"point":[14],"among":[15],"all":[16,61,115],"user-channel":[17,112],"pairs":[18,113],"subject":[19,165],"to":[20,166],"per-channel":[21],"upper-bounds":[22],"on":[23],"sum-power,":[25],"and":[26,128,139,179],"is":[27,106],"optimal":[28,48,96],"if":[29,60,114],"it":[30],"maximizes":[31,172],"weighted":[33],"sum-rate":[34],"(WSR).":[35],"In":[36],"this":[37,80,191],"paper":[38,192],"we":[39,88,125,150],"first":[40],"present":[41],"a":[42,90,153,158,167,180,196],"geometric":[43,81],"algorithm":[44,92,155],"for":[45,93,156],"computing":[46,94,157],"an":[47,74,95],"single":[52,197],"channel,":[55],"which":[56,171,209],"has":[57],"linear":[58,107,181],"complexity":[59,105],"users":[62,116],"are":[63,117],"presorted":[64,118],"either":[65],"by":[66,69,119],"weight":[67],"or":[68],"noise.":[70],"We":[71],"also":[72,193],"provide":[73],"intuitively":[75],"appealing":[76],"water-filling":[77,86,91],"interpretation":[78],"of":[79,111,131,147,183],"algorithm.":[82],"By":[83,142],"leveraging":[84],"such":[85],"interpretation,":[87],"develop":[89],"parallel":[100,205],"channels,":[103],"whose":[104],"in":[108,135,190],"number":[110],"weight.":[120],"From":[121],"these":[122],"algorithmic":[123,188],"studies,":[124],"derive":[126],"clean":[127],"simple":[129],"expressions":[130],"maximum":[133,177,212],"WSR":[134,178],"both":[136],"integral":[137],"forms":[138],"sum":[140],"forms.":[141],"exploiting":[143],"rich":[145],"property":[146],"those":[148],"forms,":[149],"further":[151],"give":[152],"linear-complexity":[154],"point,":[164],"given":[168],"upper":[169],"bound,":[170],"difference":[174],"between":[175],"cost":[182],"budget.":[186],"The":[187],"studies":[189],"reveal":[194],"that":[195],"channel":[200],"can":[201],"be":[202],"decomposed":[203],"into":[204],"single-user":[207],"preserve":[210],"WSR.":[213]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-25T23:11:45.687758","created_date":"2025-10-10T00:00:00"}