{"id":"https://openalex.org/W2979965730","doi":"https://doi.org/10.1587/transcom.2019ebp3132","title":"Ergodic Capacity of Composite Fading Channels in Cognitive Radios with Series Formula for Product of \u03ba-\u00b5 and \u03b1-\u00b5 Fading Distributions","display_name":"Ergodic Capacity of Composite Fading Channels in Cognitive Radios with Series Formula for Product of \u03ba-\u00b5 and \u03b1-\u00b5 Fading Distributions","publication_year":2019,"publication_date":"2019-10-07","ids":{"openalex":"https://openalex.org/W2979965730","doi":"https://doi.org/10.1587/transcom.2019ebp3132","mag":"2979965730"},"language":"en","primary_location":{"id":"doi:10.1587/transcom.2019ebp3132","is_oa":false,"landing_page_url":"https://doi.org/10.1587/transcom.2019ebp3132","pdf_url":null,"source":{"id":"https://openalex.org/S2493627025","display_name":"IEICE Transactions on Communications","issn_l":"0916-8516","issn":["0916-8516","1745-1345"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Communications","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/A5042189197","display_name":"He Huang","orcid":"https://orcid.org/0000-0001-6998-8131"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"He HUANG","raw_affiliation_strings":["Beijing University of Posts and Telecommuncations"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommuncations","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051279198","display_name":"Chaowei Yuan","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaowei YUAN","raw_affiliation_strings":["Beijing University of Posts and Telecommuncations"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommuncations","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5042189197"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":0.7074,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.73906483,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"E103.B","issue":"4","first_page":"458","last_page":"466"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10796","display_name":"Cooperative Communication and Network Coding","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10796","display_name":"Cooperative Communication and Network Coding","score":0.9998000264167786,"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"}},{"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/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.9995999932289124,"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/fading","display_name":"Fading","score":0.9205355644226074},{"id":"https://openalex.org/keywords/multipath-propagation","display_name":"Multipath propagation","score":0.7850092053413391},{"id":"https://openalex.org/keywords/fading-distribution","display_name":"Fading distribution","score":0.7037638425827026},{"id":"https://openalex.org/keywords/cumulative-distribution-function","display_name":"Cumulative distribution function","score":0.649411678314209},{"id":"https://openalex.org/keywords/probability-density-function","display_name":"Probability density function","score":0.47659724950790405},{"id":"https://openalex.org/keywords/channel-state-information","display_name":"Channel state information","score":0.4456958770751953},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.43014806509017944},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.42222821712493896},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.41808775067329407},{"id":"https://openalex.org/keywords/cognitive-radio","display_name":"Cognitive radio","score":0.41608166694641113},{"id":"https://openalex.org/keywords/ergodic-theory","display_name":"Ergodic theory","score":0.4128006100654602},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4114043712615967},{"id":"https://openalex.org/keywords/statistical-physics","display_name":"Statistical physics","score":0.37342387437820435},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.34715336561203003},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.3233504891395569},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.19218793511390686},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.14208871126174927},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.07794126868247986},{"id":"https://openalex.org/keywords/rayleigh-fading","display_name":"Rayleigh fading","score":0.0770864486694336}],"concepts":[{"id":"https://openalex.org/C81978471","wikidata":"https://www.wikidata.org/wiki/Q1196572","display_name":"Fading","level":3,"score":0.9205355644226074},{"id":"https://openalex.org/C161218011","wikidata":"https://www.wikidata.org/wiki/Q11827794","display_name":"Multipath propagation","level":3,"score":0.7850092053413391},{"id":"https://openalex.org/C161126049","wikidata":"https://www.wikidata.org/wiki/Q5429266","display_name":"Fading distribution","level":5,"score":0.7037638425827026},{"id":"https://openalex.org/C103784038","wikidata":"https://www.wikidata.org/wiki/Q386228","display_name":"Cumulative distribution function","level":3,"score":0.649411678314209},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.47659724950790405},{"id":"https://openalex.org/C148063708","wikidata":"https://www.wikidata.org/wiki/Q5072511","display_name":"Channel state information","level":3,"score":0.4456958770751953},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.43014806509017944},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.42222821712493896},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.41808775067329407},{"id":"https://openalex.org/C149946192","wikidata":"https://www.wikidata.org/wiki/Q3235733","display_name":"Cognitive radio","level":3,"score":0.41608166694641113},{"id":"https://openalex.org/C122044880","wikidata":"https://www.wikidata.org/wiki/Q5498822","display_name":"Ergodic theory","level":2,"score":0.4128006100654602},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4114043712615967},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.37342387437820435},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.34715336561203003},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.3233504891395569},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.19218793511390686},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.14208871126174927},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.07794126868247986},{"id":"https://openalex.org/C56985126","wikidata":"https://www.wikidata.org/wiki/Q854039","display_name":"Rayleigh fading","level":4,"score":0.0770864486694336},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1587/transcom.2019ebp3132","is_oa":false,"landing_page_url":"https://doi.org/10.1587/transcom.2019ebp3132","pdf_url":null,"source":{"id":"https://openalex.org/S2493627025","display_name":"IEICE Transactions on Communications","issn_l":"0916-8516","issn":["0916-8516","1745-1345"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Communications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1908936823","https://openalex.org/W1918686272","https://openalex.org/W2023348117","https://openalex.org/W2024267771","https://openalex.org/W2061021780","https://openalex.org/W2098451221","https://openalex.org/W2110590629","https://openalex.org/W2114885516","https://openalex.org/W2126972811","https://openalex.org/W2130357106","https://openalex.org/W2138050477","https://openalex.org/W2146044034","https://openalex.org/W2171651710","https://openalex.org/W2344420999","https://openalex.org/W2344738242","https://openalex.org/W2349854501","https://openalex.org/W2406756487","https://openalex.org/W2527553564","https://openalex.org/W2529774449","https://openalex.org/W2566532142","https://openalex.org/W2583824503","https://openalex.org/W2588698141","https://openalex.org/W2622465080","https://openalex.org/W2789778358","https://openalex.org/W2791035328","https://openalex.org/W2791645749","https://openalex.org/W2914262925","https://openalex.org/W2964232823","https://openalex.org/W3099094437","https://openalex.org/W3099360528"],"related_works":["https://openalex.org/W1931943713","https://openalex.org/W301676527","https://openalex.org/W1589724747","https://openalex.org/W2172055400","https://openalex.org/W3046090523","https://openalex.org/W2774200227","https://openalex.org/W1757854673","https://openalex.org/W2070491614","https://openalex.org/W2545273393","https://openalex.org/W2156188675"],"abstract_inverted_index":{"In":[0],"this":[1],"study,":[2],"product":[3,28,78,95],"of":[4,26,29,39,62,79,165,173],"two":[5,80],"independent":[6],"and":[7,18,55,67,85,97,136,155,157,169],"non-identically":[8],"distributed":[9],"(i.n.i.d.)":[10],"random":[11],"variables":[12],"(RVs)":[13],"for":[14,76,140],"\u03ba-\u00b5":[15,84],"fading":[16,20,45,82,113,188],"distribution":[17,21,69],"\u03b1-\u00b5":[19,86,122],"is":[22,108,177],"considered.":[23],"The":[24],"statistics":[25],"the":[27,77,93,159,162,166,170,174],"RVs":[30],"has":[31,146],"been":[32],"broadly":[33],"applied":[34],"in":[35,123,153],"a":[36],"large":[37],"number":[38],"communications":[40,54],"fields,":[41],"such":[42],"as":[43],"cascaded":[44],"channels,":[46],"multiple":[47,49],"input":[48],"output":[50],"(MIMO)":[51],"systems,":[52],"radar":[53],"cognitive":[56],"radios":[57],"(CR).":[58],"Exact":[59],"close-form":[60],"expressions":[61,96],"probability":[63],"density":[64],"function":[65,70],"(PDF)":[66],"cumulative":[68],"(CDF)":[71],"with":[72,132],"exact":[73],"series":[74],"formulas":[75],"i.n.i.d.":[81],"distributions":[83],"are":[87,130],"deduced":[88],"more":[89,147],"accurately":[90],"to":[91,110],"represent":[92],"provided":[94,141],"generalized":[98],"composite":[99,187],"multipath":[100,151],"shadowing":[101],"models.":[102],"Furthermore,":[103],"ergodic":[104],"channel":[105,114,184],"capacity":[106,185],"(ECC)":[107],"obtained":[109],"measure":[111],"maximum":[112],"capacity.":[115],"At":[116],"last,":[117],"interestingly":[118],"unlike":[119],"\u03ba-\u00b5,":[120],"\u03b7-\u00b5,":[121],"[9],":[124],"[17],":[125],"[18],":[126],"these":[127],"analytical":[128],"results":[129],"validated":[131],"Monte":[133],"Carlo":[134],"simulations":[135],"it":[137],"shows":[138],"that":[139],"\u03ba-\u00b5/\u03b1-\u00b5":[142],"model,":[143],"non-linear":[144],"parameter":[145],"important":[148],"influence":[149],"than":[150],"component":[152],"PDF":[154],"CDF,":[156],"when":[158],"ratio":[160],"between":[161],"total":[163,171],"power":[164,172],"dominant":[167],"components":[168],"scattered":[175],"waves":[176],"same,":[178],"higher":[179],"\u03b1":[180],"can":[181],"significantly":[182],"improve":[183],"over":[186],"channels.":[189]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}