{"id":"https://openalex.org/W3123627499","doi":"https://doi.org/10.1109/globecom42002.2020.9321984","title":"Neural Combinatorial Optimization for Throughput Maximization in IRS-Aided Systems","display_name":"Neural Combinatorial Optimization for Throughput Maximization in IRS-Aided Systems","publication_year":2020,"publication_date":"2020-12-01","ids":{"openalex":"https://openalex.org/W3123627499","doi":"https://doi.org/10.1109/globecom42002.2020.9321984","mag":"3123627499"},"language":"en","primary_location":{"id":"doi:10.1109/globecom42002.2020.9321984","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom42002.2020.9321984","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2020 - 2020 IEEE Global Communications Conference","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/A5087377934","display_name":"Rui Huang","orcid":"https://orcid.org/0000-0003-2745-1197"},"institutions":[{"id":"https://openalex.org/I141945490","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Rui Huang","raw_affiliation_strings":["The University of British Columbia, Vancouver, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of British Columbia, Vancouver, Canada","institution_ids":["https://openalex.org/I141945490"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003037377","display_name":"Vincent W. S. Wong","orcid":"https://orcid.org/0000-0003-3821-4365"},"institutions":[{"id":"https://openalex.org/I141945490","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Vincent W.S. Wong","raw_affiliation_strings":["The University of British Columbia, Vancouver, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of British Columbia, Vancouver, Canada","institution_ids":["https://openalex.org/I141945490"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I141945490"],"apc_list":null,"apc_paid":null,"fwci":1.4313,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.81382349,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"8","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11458","display_name":"Advanced Wireless Communication Technologies","score":0.9767000079154968,"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":0.9767000079154968,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9739000201225281,"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/T10851","display_name":"Optical Wireless Communication Technologies","score":0.9592000246047974,"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":0.700786828994751},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.6689531207084656},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.5233256816864014},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3384007513523102},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3061833679676056},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13237109780311584},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.11661505699157715},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09783372282981873}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.700786828994751},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.6689531207084656},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.5233256816864014},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3384007513523102},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3061833679676056},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13237109780311584},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.11661505699157715},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09783372282981873}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/globecom42002.2020.9321984","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom42002.2020.9321984","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2020 - 2020 IEEE Global Communications Conference","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":22,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2119717200","https://openalex.org/W2560592986","https://openalex.org/W2788350651","https://openalex.org/W2891354184","https://openalex.org/W2912555327","https://openalex.org/W2951846985","https://openalex.org/W2952332632","https://openalex.org/W2963403868","https://openalex.org/W2964121744","https://openalex.org/W2969424089","https://openalex.org/W2978330116","https://openalex.org/W3045293271","https://openalex.org/W3046166923","https://openalex.org/W3046974406","https://openalex.org/W3047550466","https://openalex.org/W3081937408","https://openalex.org/W4385245566","https://openalex.org/W6631190155","https://openalex.org/W6730742100","https://openalex.org/W6739901393","https://openalex.org/W6758687306"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2037938733","https://openalex.org/W2001839669"],"abstract_inverted_index":{"Intelligent":[0],"reflecting":[1],"surface":[2],"(IRS)":[3],"is":[4,76,116,126,146],"a":[5,40,61,69,104,120],"promising":[6],"paradigm":[7],"for":[8,51,73],"enhancing":[9],"the":[10,22,35,46,87,91,112,137,150],"spectrum":[11],"efficiency":[12],"of":[13,90,118,149],"wireless":[14],"communication":[15],"systems.":[16,32],"In":[17],"this":[18],"paper,":[19],"we":[20],"study":[21],"joint":[23],"uplink":[24],"scheduling":[25,53,75,158,161],"and":[26,54,154,159],"phase":[27,55,88],"shift":[28,56],"control":[29],"in":[30,67],"IRS-aided":[31],"We":[33,44,59],"formulate":[34],"throughput":[36,144],"maximization":[37],"problem":[38,47],"as":[39],"combinatorial":[41,63],"optimization":[42,64],"problem.":[43],"decompose":[45],"into":[48],"two":[49,110],"subproblems":[50],"user":[52,74],"control,":[57],"respectively.":[58],"propose":[60],"neural":[62,80],"(NCO)-based":[65],"algorithm,":[66,153],"which":[68,102,145],"near-optimal":[70,121],"stochastic":[71],"policy":[72],"learned":[77],"by":[78,107],"deep":[79],"networks":[81],"(DNNs)":[82],"with":[83],"attention":[84],"mechanism,":[85],"while":[86,123],"shifts":[89],"IRS":[92],"are":[93],"optimized":[94],"using":[95],"fractional":[96],"programming.":[97],"Unlike":[98],"alternating":[99],"optimization-based":[100],"approaches":[101],"obtain":[103],"suboptimal":[105],"solution":[106,122],"iteratively":[108],"solving":[109],"subproblems,":[111],"proposed":[113,138],"NCO-based":[114,139],"algorithm":[115,140],"capable":[117],"obtaining":[119],"each":[124],"subproblem":[125],"required":[127],"to":[128],"be":[129],"solved":[130],"only":[131],"once.":[132],"Simulation":[133],"results":[134],"show":[135],"that":[136],"achieves":[141],"an":[142],"aggregate":[143],"within":[147],"98%":[148],"exhaustive":[151],"search":[152],"outperforms":[155],"both":[156],"greedy":[157],"random":[160],"algorithms.":[162]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}