{"id":"https://openalex.org/W2361160616","doi":"https://doi.org/10.1109/tvt.2016.2569064","title":"Unified Analysis of Diversity Reception in the Presence of Impulsive Noise","display_name":"Unified Analysis of Diversity Reception in the Presence of Impulsive Noise","publication_year":2016,"publication_date":"2016-05-13","ids":{"openalex":"https://openalex.org/W2361160616","doi":"https://doi.org/10.1109/tvt.2016.2569064","mag":"2361160616"},"language":"en","primary_location":{"id":"doi:10.1109/tvt.2016.2569064","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2016.2569064","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"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 Vehicular Technology","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/A5088743570","display_name":"Omar Alhussein","orcid":"https://orcid.org/0000-0002-1531-5916"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Omar Alhussein","raw_affiliation_strings":["School of Engineering Science, University of Waterloo, Waterloo, ON, Canada"],"affiliations":[{"raw_affiliation_string":"School of Engineering Science, University of Waterloo, Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047901063","display_name":"Imtiaz Ahmed","orcid":"https://orcid.org/0000-0001-6465-532X"},"institutions":[{"id":"https://openalex.org/I1343180700","display_name":"Intel (United States)","ror":"https://ror.org/01ek73717","country_code":"US","type":"company","lineage":["https://openalex.org/I1343180700"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Imtiaz Ahmed","raw_affiliation_strings":["Intel Corporation, McGill University, San Diego, CA, USA"],"affiliations":[{"raw_affiliation_string":"Intel Corporation, McGill University, San Diego, CA, USA","institution_ids":["https://openalex.org/I1343180700"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108166775","display_name":"Jie Liang","orcid":"https://orcid.org/0000-0003-3003-4343"},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jie Liang","raw_affiliation_strings":["School of Engineering Science, Simon Fraser University, Burnaby, BC, Canada"],"affiliations":[{"raw_affiliation_string":"School of Engineering Science, Simon Fraser University, Burnaby, BC, Canada","institution_ids":["https://openalex.org/I18014758"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004034156","display_name":"Sami Muhaidat","orcid":"https://orcid.org/0000-0003-4649-9399"},"institutions":[{"id":"https://openalex.org/I125749732","display_name":"Western University","ror":"https://ror.org/02grkyz14","country_code":"CA","type":"education","lineage":["https://openalex.org/I125749732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Sami Muhaidat","raw_affiliation_strings":["Centre for Communication Systems Research, University of Western Ontario, London, ON, Canada"],"affiliations":[{"raw_affiliation_string":"Centre for Communication Systems Research, University of Western Ontario, London, ON, Canada","institution_ids":["https://openalex.org/I125749732"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5088743570"],"corresponding_institution_ids":["https://openalex.org/I151746483"],"apc_list":null,"apc_paid":null,"fwci":0.63808806,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.74836787,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"66","issue":"2","first_page":"1408","last_page":"1417"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12146","display_name":"Power Line Communications and Noise","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/T12146","display_name":"Power Line Communications and Noise","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/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.9975000023841858,"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":0.9914000034332275,"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":0.5894486904144287},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5627367496490479},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.4999208450317383},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.49581584334373474},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.49081358313560486},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.45076167583465576},{"id":"https://openalex.org/keywords/gamma-distribution","display_name":"Gamma distribution","score":0.44396600127220154},{"id":"https://openalex.org/keywords/pairwise-error-probability","display_name":"Pairwise error probability","score":0.44375649094581604},{"id":"https://openalex.org/keywords/probability-distribution","display_name":"Probability distribution","score":0.4325235188007355},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4315624237060547},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3771207928657532},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.34154945611953735},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2645052969455719},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.131203293800354},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.12325385212898254}],"concepts":[{"id":"https://openalex.org/C81978471","wikidata":"https://www.wikidata.org/wiki/Q1196572","display_name":"Fading","level":3,"score":0.5894486904144287},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5627367496490479},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.4999208450317383},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.49581584334373474},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.49081358313560486},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.45076167583465576},{"id":"https://openalex.org/C149717495","wikidata":"https://www.wikidata.org/wiki/Q117806","display_name":"Gamma distribution","level":2,"score":0.44396600127220154},{"id":"https://openalex.org/C2780839233","wikidata":"https://www.wikidata.org/wiki/Q16000284","display_name":"Pairwise error probability","level":4,"score":0.44375649094581604},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.4325235188007355},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4315624237060547},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3771207928657532},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.34154945611953735},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2645052969455719},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.131203293800354},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.12325385212898254},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tvt.2016.2569064","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2016.2569064","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"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 Vehicular Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1522045078","https://openalex.org/W1967280221","https://openalex.org/W2018086746","https://openalex.org/W2018713182","https://openalex.org/W2020328455","https://openalex.org/W2026222752","https://openalex.org/W2030835564","https://openalex.org/W2033679404","https://openalex.org/W2038149716","https://openalex.org/W2058815839","https://openalex.org/W2059504809","https://openalex.org/W2060148193","https://openalex.org/W2068503902","https://openalex.org/W2082108265","https://openalex.org/W2093370482","https://openalex.org/W2095687453","https://openalex.org/W2096730187","https://openalex.org/W2102012445","https://openalex.org/W2103588716","https://openalex.org/W2104322778","https://openalex.org/W2110836275","https://openalex.org/W2116649070","https://openalex.org/W2124498959","https://openalex.org/W2136873321","https://openalex.org/W2137959268","https://openalex.org/W2145989463","https://openalex.org/W2149454297","https://openalex.org/W2156398735","https://openalex.org/W2160392918","https://openalex.org/W2168175751","https://openalex.org/W2344706581","https://openalex.org/W2493309683","https://openalex.org/W3100608448","https://openalex.org/W3103716478","https://openalex.org/W3113221786","https://openalex.org/W6665272994","https://openalex.org/W6704582254"],"related_works":["https://openalex.org/W2327053383","https://openalex.org/W2356834760","https://openalex.org/W1964600846","https://openalex.org/W2027568561","https://openalex.org/W3017070852","https://openalex.org/W2181467030","https://openalex.org/W2183633374","https://openalex.org/W2738923754","https://openalex.org/W2338148776","https://openalex.org/W1976251618"],"abstract_inverted_index":{"We":[0,62],"consider":[1],"a":[2,39],"single-input-multiple-output":[3],"(SIMO)":[4],"system":[5,74],"over":[6],"generalized":[7],"and":[8,32,41,78,141],"composite":[9],"fading":[10],"channels":[11],"using":[12],"the":[13,19,28,47,53,58,72,82,105,112,127,132,137,150],"mixture":[14],"Gamma":[15],"(MG)":[16],"distribution":[17,55],"in":[18],"presence":[20],"of":[21,50,108,111],"impulsive":[22,133],"noise,":[23],"which":[24,92],"is":[25],"modeled":[26],"by":[27],"Middleton's":[29],"Class-A":[30],"(MCA)":[31],"e-mixture":[33],"noise":[34,134],"models.":[35],"First,":[36],"we":[37,121],"develop":[38],"simple":[40],"effective":[42],"information-theoretic":[43],"approach":[44],"to":[45,96,148],"determine":[46],"optimal":[48],"number":[49],"components":[51],"for":[52,71,104,126,136],"MG":[54],"based":[56],"on":[57],"Bayesian":[59],"information":[60],"criterion.":[61],"then":[63],"derive":[64],"novel":[65],"pairwise":[66],"error":[67],"probability":[68],"(PEP)":[69],"expressions":[70,87,100,125],"considered":[73,138],"with":[75],"maximal-ratio":[76],"combining":[77,80],"selection":[79],"at":[81],"receiver.":[83],"The":[84],"derived":[85],"PEP":[86],"involve":[88],"finite":[89],"singlefold":[90],"integrals,":[91],"are":[93,102,146],"further":[94],"simplified":[95],"rather":[97],"more":[98],"tractable":[99,124],"that":[101],"applicable":[103],"special":[106],"case":[107],"integer":[109],"values":[110],"scale":[113],"parameter":[114],"\u03b2":[115],"<sub":[116],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[117],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">k</sub>":[118],".":[119],"Furthermore,":[120],"provide":[122],"analytical":[123,151],"average":[128],"channel":[129],"capacity":[130],"under":[131],"assumption":[135],"system.":[139],"Analytical":[140],"Monte":[142],"Carlo":[143],"simulation":[144],"analyses":[145],"presented":[147],"validate":[149],"results.":[152]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":5},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
