{"id":"https://openalex.org/W4386766930","doi":"https://doi.org/10.1109/lwc.2023.3316114","title":"Deep Unsupervised Learning for Optimization With Box and Monotone Matrix Based Polytope Constraints: A Case-Study of D2D Wireless Networks","display_name":"Deep Unsupervised Learning for Optimization With Box and Monotone Matrix Based Polytope Constraints: A Case-Study of D2D Wireless Networks","publication_year":2023,"publication_date":"2023-09-15","ids":{"openalex":"https://openalex.org/W4386766930","doi":"https://doi.org/10.1109/lwc.2023.3316114"},"language":"en","primary_location":{"id":"doi:10.1109/lwc.2023.3316114","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lwc.2023.3316114","pdf_url":null,"source":{"id":"https://openalex.org/S2500830676","display_name":"IEEE Wireless Communications Letters","issn_l":"2162-2337","issn":["2162-2337","2162-2345"],"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 Wireless Communications Letters","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/A5092877292","display_name":"Bindubritta Acharjee","orcid":null},"institutions":[{"id":"https://openalex.org/I160262251","display_name":"Thompson Rivers University","ror":"https://ror.org/01v9wj339","country_code":"CA","type":"education","lineage":["https://openalex.org/I160262251"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Bindubritta Acharjee","raw_affiliation_strings":["Department of Mathematics and Statistics, Thompson Rivers University, Kamloops, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Statistics, Thompson Rivers University, Kamloops, Canada","institution_ids":["https://openalex.org/I160262251"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101938610","display_name":"Muhammad Hanif","orcid":"https://orcid.org/0000-0003-1645-7083"},"institutions":[{"id":"https://openalex.org/I160262251","display_name":"Thompson Rivers University","ror":"https://ror.org/01v9wj339","country_code":"CA","type":"education","lineage":["https://openalex.org/I160262251"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Muhammad Hanif","raw_affiliation_strings":["Department of Engineering, Thompson Rivers University, Kamloops, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Engineering, Thompson Rivers University, Kamloops, Canada","institution_ids":["https://openalex.org/I160262251"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035909356","display_name":"Omer Waqar","orcid":"https://orcid.org/0000-0003-1787-7100"},"institutions":[{"id":"https://openalex.org/I170606269","display_name":"University of the Fraser Valley","ror":"https://ror.org/04h6w7946","country_code":"CA","type":"education","lineage":["https://openalex.org/I170606269"]},{"id":"https://openalex.org/I160262251","display_name":"Thompson Rivers University","ror":"https://ror.org/01v9wj339","country_code":"CA","type":"education","lineage":["https://openalex.org/I160262251"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Omer Waqar","raw_affiliation_strings":["Department of Engineering, Thompson Rivers University, Kamloops, Canada","School of Computing, University of the Fraser Valley, Abbotsford, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Engineering, Thompson Rivers University, Kamloops, Canada","institution_ids":["https://openalex.org/I160262251"]},{"raw_affiliation_string":"School of Computing, University of the Fraser Valley, Abbotsford, Canada","institution_ids":["https://openalex.org/I170606269"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5092877292"],"corresponding_institution_ids":["https://openalex.org/I160262251"],"apc_list":null,"apc_paid":null,"fwci":1.2034,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.79013752,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"12","issue":"12","first_page":"2223","last_page":"2227"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9994999766349792,"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":0.9994999766349792,"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/T11873","display_name":"PAPR reduction in OFDM","score":0.9994999766349792,"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/T10575","display_name":"Wireless Communication Networks Research","score":0.9983999729156494,"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/polytope","display_name":"Polytope","score":0.7033435702323914},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6624220609664917},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.658014178276062},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5664134621620178},{"id":"https://openalex.org/keywords/monotone-polygon","display_name":"Monotone polygon","score":0.5268279910087585},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.5111146569252014},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.48256129026412964},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.47651994228363037},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.42126697301864624},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.41470348834991455},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29880279302597046},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.27723270654678345},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23996347188949585},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.07531070709228516}],"concepts":[{"id":"https://openalex.org/C145691206","wikidata":"https://www.wikidata.org/wiki/Q747980","display_name":"Polytope","level":2,"score":0.7033435702323914},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6624220609664917},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.658014178276062},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5664134621620178},{"id":"https://openalex.org/C2834757","wikidata":"https://www.wikidata.org/wiki/Q4925424","display_name":"Monotone polygon","level":2,"score":0.5268279910087585},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.5111146569252014},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.48256129026412964},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.47651994228363037},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.42126697301864624},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.41470348834991455},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29880279302597046},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.27723270654678345},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23996347188949585},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.07531070709228516},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lwc.2023.3316114","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lwc.2023.3316114","pdf_url":null,"source":{"id":"https://openalex.org/S2500830676","display_name":"IEEE Wireless Communications Letters","issn_l":"2162-2337","issn":["2162-2337","2162-2345"],"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 Wireless Communications Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2002618989","https://openalex.org/W2116702047","https://openalex.org/W2137983211","https://openalex.org/W2992716901","https://openalex.org/W3036513045","https://openalex.org/W3176252472","https://openalex.org/W3192277190","https://openalex.org/W4210914097","https://openalex.org/W4220935189","https://openalex.org/W4226054318","https://openalex.org/W4300716758","https://openalex.org/W4301496368","https://openalex.org/W4379116684","https://openalex.org/W6790879498"],"related_works":["https://openalex.org/W4280529077","https://openalex.org/W2507185596","https://openalex.org/W1493684871","https://openalex.org/W4286224459","https://openalex.org/W2886567582","https://openalex.org/W4289703404","https://openalex.org/W4387265813","https://openalex.org/W2378211422","https://openalex.org/W3103454236","https://openalex.org/W4320410061"],"abstract_inverted_index":{"In":[0,72],"this":[1,41],"letter,":[2],"we":[3,43,74],"consider":[4],"an":[5,89],"optimization":[6,24,86],"problem":[7,87,91],"with":[8,12],"box":[9,64],"constraints":[10,67],"coupled":[11],"polytope":[13,66],"constraints.":[14],"The":[15],"existing":[16,110],"deep":[17,49],"learning":[18,51],"methodologies":[19],"for":[20],"solving":[21],"such":[22],"constrained":[23,85],"problems":[25],"are":[26],"incapable":[27],"to":[28,81],"ensure":[29],"feasible":[30],"solution,":[31],"require":[32],"a":[33,45,69,78,102,114],"resource-intensive":[34],"projection":[35],"step,":[36],"or":[37],"involve":[38],"iterations.":[39],"To":[40],"end,":[42],"propose":[44],"novel":[46],"and":[47,65,109,138],"efficient":[48],"unsupervised":[50],"(DUL)-based":[52],"approach":[53,108],"that":[54,123],"minimizes":[55],"the":[56,83,128],"loss":[57],"function":[58],"while":[59],"guaranteeing":[60],"satisfaction":[61,136],"of":[62,77,133],"both":[63,134],"involving":[68],"monotone":[70,79],"matrix.":[71],"particular,":[73],"utilize":[75],"properties":[76],"matrix":[80],"transform":[82],"original":[84],"into":[88],"equivalent":[90],"which":[92],"can":[93],"easily":[94],"be":[95],"optimized":[96],"using":[97],"DUL.":[98],"We":[99],"have":[100,121],"conducted":[101],"performance":[103],"comparison":[104],"between":[105],"our":[106,124],"proposed":[107,125],"DUL-based":[111],"benchmarks":[112],"considering":[113],"device-to-device":[115],"(D2D)":[116],"wireless":[117],"network.":[118],"Simulation":[119],"results":[120],"shown":[122],"scheme":[126],"outperforms":[127],"benchmark":[129],"schemes":[130],"in":[131],"terms":[132],"constraint":[135],"probability":[137],"achievable":[139],"average":[140],"sum-rate.":[141]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}