{"id":"https://openalex.org/W3169089094","doi":"https://doi.org/10.1109/ieeeconf51394.2020.9443457","title":"Two-Layer J-Best Selection / Maximal-Ratio Combining in Rayleigh Fading","display_name":"Two-Layer J-Best Selection / Maximal-Ratio Combining in Rayleigh Fading","publication_year":2020,"publication_date":"2020-11-01","ids":{"openalex":"https://openalex.org/W3169089094","doi":"https://doi.org/10.1109/ieeeconf51394.2020.9443457","mag":"3169089094"},"language":"en","primary_location":{"id":"doi:10.1109/ieeeconf51394.2020.9443457","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf51394.2020.9443457","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 54th Asilomar Conference on Signals, Systems, and Computers","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/A5062938524","display_name":"S\u00e9bastien Roy","orcid":"https://orcid.org/0000-0002-1262-9485"},"institutions":[{"id":"https://openalex.org/I135117807","display_name":"Universit\u00e9 de Sherbrooke","ror":"https://ror.org/00kybxq39","country_code":"CA","type":"education","lineage":["https://openalex.org/I135117807"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Sebastien Roy","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Universit\u00e9 de Sherbrooke, Qu\u00e9bec, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Universit\u00e9 de Sherbrooke, Qu\u00e9bec, Canada","institution_ids":["https://openalex.org/I135117807"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5062938524"],"corresponding_institution_ids":["https://openalex.org/I135117807"],"apc_list":null,"apc_paid":null,"fwci":0.1027,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.47118273,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"44","issue":null,"first_page":"1075","last_page":"1082"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10125","display_name":"Advanced Wireless Communication 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"}},"topics":[{"id":"https://openalex.org/T10125","display_name":"Advanced Wireless Communication 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/T10069","display_name":"Antenna Design and Analysis","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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":0.9983000159263611,"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/maximal-ratio-combining","display_name":"Maximal-ratio combining","score":0.7475103139877319},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6267390251159668},{"id":"https://openalex.org/keywords/antenna","display_name":"Antenna (radio)","score":0.5661457180976868},{"id":"https://openalex.org/keywords/rayleigh-fading","display_name":"Rayleigh fading","score":0.5543416142463684},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.5001864433288574},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.49082574248313904},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.49064770340919495},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4771782457828522},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.45117560029029846},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4146340489387512},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.41347578167915344},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.2961868643760681},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.23837509751319885},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.23172879219055176},{"id":"https://openalex.org/keywords/fading","display_name":"Fading","score":0.22971978783607483},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19660106301307678}],"concepts":[{"id":"https://openalex.org/C86024645","wikidata":"https://www.wikidata.org/wiki/Q6795632","display_name":"Maximal-ratio combining","level":4,"score":0.7475103139877319},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6267390251159668},{"id":"https://openalex.org/C21822782","wikidata":"https://www.wikidata.org/wiki/Q131214","display_name":"Antenna (radio)","level":2,"score":0.5661457180976868},{"id":"https://openalex.org/C56985126","wikidata":"https://www.wikidata.org/wiki/Q854039","display_name":"Rayleigh fading","level":4,"score":0.5543416142463684},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.5001864433288574},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.49082574248313904},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.49064770340919495},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4771782457828522},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45117560029029846},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4146340489387512},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.41347578167915344},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.2961868643760681},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.23837509751319885},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.23172879219055176},{"id":"https://openalex.org/C81978471","wikidata":"https://www.wikidata.org/wiki/Q1196572","display_name":"Fading","level":3,"score":0.22971978783607483},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19660106301307678},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ieeeconf51394.2020.9443457","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf51394.2020.9443457","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 54th Asilomar Conference on Signals, Systems, and Computers","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":24,"referenced_works":["https://openalex.org/W1596939795","https://openalex.org/W1974945857","https://openalex.org/W2006754878","https://openalex.org/W2047090258","https://openalex.org/W2064145678","https://openalex.org/W2119420769","https://openalex.org/W2127014568","https://openalex.org/W2127644918","https://openalex.org/W2127828315","https://openalex.org/W2130592741","https://openalex.org/W2133271833","https://openalex.org/W2134588841","https://openalex.org/W2136372610","https://openalex.org/W2138947422","https://openalex.org/W2142909694","https://openalex.org/W2143803264","https://openalex.org/W2145333873","https://openalex.org/W2152363761","https://openalex.org/W2156673794","https://openalex.org/W2157308659","https://openalex.org/W2158841576","https://openalex.org/W2168990175","https://openalex.org/W2406994267","https://openalex.org/W4212888567"],"related_works":["https://openalex.org/W2283125831","https://openalex.org/W2169415458","https://openalex.org/W2989315442","https://openalex.org/W1531722310","https://openalex.org/W2124940739","https://openalex.org/W4210382895","https://openalex.org/W1568549004","https://openalex.org/W2182475591","https://openalex.org/W2062452420","https://openalex.org/W2158796906"],"abstract_inverted_index":{"Two-layer":[0],"selection":[1,56,116,160,211],"/":[2],"maximal-ratio":[3,45],"combining":[4,46,57],"(2L-S/MRC)":[5],"at":[6,138,193],"the":[7,20,24,41,53,61,65,96,104,119,135,139,159,166,178,194,219,229,236,247,253,260],"receiver":[8,189],"consists":[9],"in":[10,23,40,121,154,214,265],"dividing":[11],"a":[12,16,203],"large":[13],"array":[14,179],"into":[15],"number":[17,167],"of":[18,34,73,168,224,232,246,259],"subsets,":[19],"best":[21,66,220],"antenna":[22],"SNR":[25],"sense":[26],"being":[27,89],"selected":[28,35,101],"within":[29],"each":[30,215],"subset.":[31],"The":[32],"set":[33],"antennas":[36,71,102,222],"is":[37,49,162,197,207,212,256,263],"then":[38,78],"combined":[39],"second":[42],"layer":[43],"using":[44],"(MRC).":[47],"This":[48,239],"closely":[50],"related":[51],"to":[52,81,142,148,164,177,228,235],"well-known":[54],"generalized":[55],"(GSC),":[58],"except":[59],"that":[60,113,252],"latter":[62],"involves":[63],"selecting":[64,218],"L":[67,97],"<sub":[68,98],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[69,99],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">c</sub>":[70,100],"out":[72],"an":[74,186],"L-antenna":[75],"array,":[76],"and":[77,85,146,171],"applying":[79],"MRC":[80,237],"those.":[82],"In":[83,200],"theory":[84],"all":[86],"other":[87],"parameters":[88],"equal,":[90],"GSC":[91,188],"should":[92],"outperform":[93,185],"2L-S/MRC":[94,122,182],"since":[95],"constitute":[103],"optimal":[105],"set.":[106],"However,":[107],"it":[108],"has":[109,123],"been":[110],"shown":[111],"previously":[112],"constraint":[114,133],"on":[115,126],"imposed":[117],"by":[118],"subsets":[120],"minimal":[124,150],"impact":[125],"ideal":[127],"performance":[128],"and,":[129],"more":[130],"importantly,":[131],"this":[132,201],"allows":[134],"switching":[136],"circuit":[137],"RF":[140,169,195],"stage":[141,196],"be":[143],"much":[144,245],"simpler":[145],"thus":[147],"exhibit":[149],"insertion":[151,191],"loss.":[152],"Thus,":[153],"any":[155],"practical":[156],"system":[157],"where":[158,209],"process":[161],"leveraged":[163],"reduce":[165],"chains":[170],"low-noise":[172],"amplifiers":[173],"(LNA)":[174],"with":[175],"respect":[176],"size":[180,255],"L,":[181],"will":[183,240],"significantly":[184],"equivalent":[187],"once":[190],"loss":[192],"factored":[198],"in.":[199],"paper,":[202],"new":[204],"two-layer":[205],"scheme":[206,262],"proposed":[208,261],"J-best":[210],"performed":[213],"subset,":[216],"e.g.":[217],"J":[221],"instead":[223],"just":[225],"one":[226],"(equivalent":[227],"first":[230],"step":[231],"GSC),":[233],"prior":[234],"stage.":[238],"improve":[241],"performance,":[242],"while":[243],"maintaining":[244],"RF-stage":[248],"complexity":[249],"advantage,":[250],"provided":[251],"subset":[254],"small.":[257],"Performance":[258],"analyzed":[264],"uncorrelated":[266],"Rayleigh":[267],"fading.":[268]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}