{"id":"https://openalex.org/W3092538225","doi":"https://doi.org/10.1109/twc.2020.3028284","title":"Optimum Combiner for Spatially Correlated Nakagami-<i>m</i> Fading Channels","display_name":"Optimum Combiner for Spatially Correlated Nakagami-<i>m</i> Fading Channels","publication_year":2020,"publication_date":"2020-10-08","ids":{"openalex":"https://openalex.org/W3092538225","doi":"https://doi.org/10.1109/twc.2020.3028284","mag":"3092538225"},"language":"en","primary_location":{"id":"doi:10.1109/twc.2020.3028284","is_oa":true,"landing_page_url":"https://doi.org/10.1109/twc.2020.3028284","pdf_url":"https://ieeexplore.ieee.org/ielx7/7693/9352576/09217991.pdf","source":{"id":"https://openalex.org/S63459445","display_name":"IEEE Transactions on Wireless Communications","issn_l":"1536-1276","issn":["1536-1276","1558-2248"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Wireless Communications","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ieeexplore.ieee.org/ielx7/7693/9352576/09217991.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048839353","display_name":"Jia\u2010Chin Lin","orcid":"https://orcid.org/0000-0002-9191-2237"},"institutions":[{"id":"https://openalex.org/I22265921","display_name":"National Central University","ror":"https://ror.org/00944ve71","country_code":"TW","type":"education","lineage":["https://openalex.org/I22265921"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Jia-Chin Lin","raw_affiliation_strings":["Department of Communication Engineering, National Central University, Taoyuan, Taiwan"],"raw_orcid":"https://orcid.org/0000-0002-9191-2237","affiliations":[{"raw_affiliation_string":"Department of Communication Engineering, National Central University, Taoyuan, Taiwan","institution_ids":["https://openalex.org/I22265921"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042307561","display_name":"H. Vincent Poor","orcid":"https://orcid.org/0000-0002-2062-131X"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"H. Vincent Poor","raw_affiliation_strings":["Department of Electrical Engineering, Princeton University, Princeton, NJ, USA"],"raw_orcid":"https://orcid.org/0000-0002-2062-131X","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Princeton University, Princeton, NJ, USA","institution_ids":["https://openalex.org/I20089843"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5048839353"],"corresponding_institution_ids":["https://openalex.org/I22265921"],"apc_list":null,"apc_paid":null,"fwci":0.4161,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.62191841,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"20","issue":"2","first_page":"771","last_page":"784"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10125","display_name":"Advanced Wireless Communication Techniques","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/T10125","display_name":"Advanced Wireless Communication Techniques","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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9997000098228455,"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":0.9994999766349792,"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/fading","display_name":"Fading","score":0.7601274251937866},{"id":"https://openalex.org/keywords/nakagami-distribution","display_name":"Nakagami distribution","score":0.6120363473892212},{"id":"https://openalex.org/keywords/decorrelation","display_name":"Decorrelation","score":0.6060770750045776},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5567457675933838},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.5518409609794617},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5247024297714233},{"id":"https://openalex.org/keywords/signal-to-interference-plus-noise-ratio","display_name":"Signal-to-interference-plus-noise ratio","score":0.485705703496933},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.4647146463394165},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4313507080078125},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.4154040813446045},{"id":"https://openalex.org/keywords/eigendecomposition-of-a-matrix","display_name":"Eigendecomposition of a matrix","score":0.4136883318424225},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3812611997127533},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3812272250652313},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.324690043926239},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.269997239112854},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.14067262411117554},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1371878981590271},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.12499722838401794}],"concepts":[{"id":"https://openalex.org/C81978471","wikidata":"https://www.wikidata.org/wiki/Q1196572","display_name":"Fading","level":3,"score":0.7601274251937866},{"id":"https://openalex.org/C115098869","wikidata":"https://www.wikidata.org/wiki/Q3258347","display_name":"Nakagami distribution","level":4,"score":0.6120363473892212},{"id":"https://openalex.org/C177860922","wikidata":"https://www.wikidata.org/wiki/Q788608","display_name":"Decorrelation","level":2,"score":0.6060770750045776},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5567457675933838},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.5518409609794617},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5247024297714233},{"id":"https://openalex.org/C98824394","wikidata":"https://www.wikidata.org/wiki/Q4035626","display_name":"Signal-to-interference-plus-noise ratio","level":3,"score":0.485705703496933},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.4647146463394165},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4313507080078125},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.4154040813446045},{"id":"https://openalex.org/C169756996","wikidata":"https://www.wikidata.org/wiki/Q194919","display_name":"Eigendecomposition of a matrix","level":3,"score":0.4136883318424225},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3812611997127533},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3812272250652313},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.324690043926239},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.269997239112854},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.14067262411117554},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1371878981590271},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.12499722838401794},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"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/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/twc.2020.3028284","is_oa":true,"landing_page_url":"https://doi.org/10.1109/twc.2020.3028284","pdf_url":"https://ieeexplore.ieee.org/ielx7/7693/9352576/09217991.pdf","source":{"id":"https://openalex.org/S63459445","display_name":"IEEE Transactions on Wireless Communications","issn_l":"1536-1276","issn":["1536-1276","1558-2248"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Wireless Communications","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1109/twc.2020.3028284","is_oa":true,"landing_page_url":"https://doi.org/10.1109/twc.2020.3028284","pdf_url":"https://ieeexplore.ieee.org/ielx7/7693/9352576/09217991.pdf","source":{"id":"https://openalex.org/S63459445","display_name":"IEEE Transactions on Wireless Communications","issn_l":"1536-1276","issn":["1536-1276","1558-2248"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Wireless Communications","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3504475426","display_name":null,"funder_award_id":"1908308","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7920959503","display_name":null,"funder_award_id":"CCF-1908308","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8664358888","display_name":null,"funder_award_id":"107-2221-E-008-023-MY2","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"},{"id":"https://openalex.org/G877668815","display_name":null,"funder_award_id":"NSPO-S- 109282","funder_id":"https://openalex.org/F4320324517","funder_display_name":"National Space Organization"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320322795","display_name":"Ministry of Science and Technology, Taiwan","ror":"https://ror.org/02kv4zf79"},{"id":"https://openalex.org/F4320324517","display_name":"National Space Organization","ror":"https://ror.org/03dcxwy38"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3092538225.pdf","grobid_xml":"https://content.openalex.org/works/W3092538225.grobid-xml"},"referenced_works_count":58,"referenced_works":["https://openalex.org/W59009386","https://openalex.org/W604181985","https://openalex.org/W1512057213","https://openalex.org/W1563527684","https://openalex.org/W1576718945","https://openalex.org/W1596939795","https://openalex.org/W1965392255","https://openalex.org/W1969312047","https://openalex.org/W1973692140","https://openalex.org/W1987910435","https://openalex.org/W2019391446","https://openalex.org/W2024006636","https://openalex.org/W2026274614","https://openalex.org/W2028844938","https://openalex.org/W2065456806","https://openalex.org/W2095921408","https://openalex.org/W2101926755","https://openalex.org/W2103276054","https://openalex.org/W2108798817","https://openalex.org/W2108828558","https://openalex.org/W2113867936","https://openalex.org/W2113939552","https://openalex.org/W2114437869","https://openalex.org/W2118387281","https://openalex.org/W2118575157","https://openalex.org/W2124531878","https://openalex.org/W2128350152","https://openalex.org/W2131563410","https://openalex.org/W2133448946","https://openalex.org/W2134062427","https://openalex.org/W2139228327","https://openalex.org/W2139619133","https://openalex.org/W2139794367","https://openalex.org/W2142079531","https://openalex.org/W2143440429","https://openalex.org/W2146254192","https://openalex.org/W2146318236","https://openalex.org/W2149366607","https://openalex.org/W2149804040","https://openalex.org/W2152828142","https://openalex.org/W2155682372","https://openalex.org/W2167973331","https://openalex.org/W2168990175","https://openalex.org/W2243044261","https://openalex.org/W2497129130","https://openalex.org/W2591340843","https://openalex.org/W2604132899","https://openalex.org/W2612977707","https://openalex.org/W2786557981","https://openalex.org/W2798333393","https://openalex.org/W2909823901","https://openalex.org/W2963637294","https://openalex.org/W2992630876","https://openalex.org/W3021459455","https://openalex.org/W4252465488","https://openalex.org/W6614738328","https://openalex.org/W6676760563","https://openalex.org/W6681160155"],"related_works":["https://openalex.org/W4310218166","https://openalex.org/W2117760611","https://openalex.org/W2005921625","https://openalex.org/W2156673141","https://openalex.org/W2062847184","https://openalex.org/W2106353646","https://openalex.org/W2054458816","https://openalex.org/W2059270103","https://openalex.org/W2000234803","https://openalex.org/W2599974934"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,43,78,91,147,152],"novel":[4,148],"optimum":[5,176],"combiner":[6,177],"that":[7,173],"raises":[8],"the":[9,27,37,60,64,68,74,102,107,123,165,174,185,200],"time-averaged":[10,104,191],"signal-to-interference-plus-noise":[11],"ratio":[12],"(SINR)":[13],"for":[14,203],"maximal-ratio":[15],"combining":[16,82],"(MRC)":[17],"reception":[18,121],"over":[19],"spatially":[20,156],"correlated":[21,157],"Nakagami-m":[22,158],"fading":[23,159],"channels.":[24],"By":[25],"exploiting":[26],"principal":[28,79],"component":[29,80],"analysis":[30],"(PCA)":[31],"with":[32,73,119],"eigenvalue":[33],"decomposition":[34],"(EVD)":[35],"of":[36,46,76,155],"covariance":[38,168],"matrix":[39],"analytically":[40,166],"evaluated":[41,167],"offline,":[42],"complete":[44],"set":[45],"orthonormal":[47],"basis":[48,69],"functions":[49],"can":[50],"be":[51],"obtained.":[52],"A":[53],"decorrelation":[54],"process":[55],"analyzes":[56],"and":[57,138,182,193],"then":[58],"projects":[59],"received":[61],"signal":[62,205],"into":[63],"space":[65],"spanned":[66],"by":[67],"functions.":[70],"In":[71],"accordance":[72],"theorem":[75],"irrelevance,":[77],"selection":[81],"(PCSC)":[83],"method":[84],"is":[85,161],"proposed":[86,112,175],"to":[87,100,164,188],"remove":[88],"components":[89],"in":[90,94,122],"few":[92],"dimensions":[93],"which":[95],"SINRs":[96],"are":[97,130,143],"considered":[98],"low":[99],"raise":[101],"resulting":[103],"SINR":[105,133,192],"on":[106,127,146],"subsequent":[108,204],"MRC":[109,120],"reception.":[110],"The":[111,132],"technique":[113],"also":[114,197],"avoids":[115],"noise":[116,183],"enhancement":[117],"occurring":[118],"scenario":[124],"where":[125],"noises":[126],"different":[128],"branches":[129],"correlated.":[131],"distribution,":[134],"level-crossing":[135],"rate":[136],"(LCR)":[137],"average":[139],"fade":[140],"duration":[141],"(AFD)":[142],"derived.":[144],"Based":[145],"scattering":[149],"model":[150],"interpretation,":[151],"simulator":[153],"consisting":[154],"channels":[160],"developed":[162],"according":[163],"matrix.":[169],"Computer":[170],"simulations":[171],"show":[172],"not":[178],"only":[179],"decreases":[180],"interference":[181],"from":[184],"irrelevant":[186],"subspace":[187],"achieve":[189],"higher":[190],"lower":[194],"AFD":[195],"but":[196],"significantly":[198],"reduces":[199],"complexity":[201],"required":[202],"processing.":[206]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2026-05-08T15:41:06.802602","created_date":"2025-10-10T00:00:00"}