{"id":"https://openalex.org/W2129662605","doi":"https://doi.org/10.1109/milcom.2011.6127711","title":"New results on finite-state Markov models for Nakagami fading channels","display_name":"New results on finite-state Markov models for Nakagami fading channels","publication_year":2011,"publication_date":"2011-11-01","ids":{"openalex":"https://openalex.org/W2129662605","doi":"https://doi.org/10.1109/milcom.2011.6127711","mag":"2129662605"},"language":"en","primary_location":{"id":"doi:10.1109/milcom.2011.6127711","is_oa":false,"landing_page_url":"https://doi.org/10.1109/milcom.2011.6127711","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 - MILCOM 2011 Military Communications Conference","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/A5062501023","display_name":"Michael A. Juang","orcid":null},"institutions":[{"id":"https://openalex.org/I8078737","display_name":"Clemson University","ror":"https://ror.org/037s24f05","country_code":"US","type":"education","lineage":["https://openalex.org/I8078737"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Michael A. Juang","raw_affiliation_strings":["Clemson University, Clemson, SC, US","Clemson University, USA"],"affiliations":[{"raw_affiliation_string":"Clemson University, Clemson, SC, US","institution_ids":["https://openalex.org/I8078737"]},{"raw_affiliation_string":"Clemson University, USA","institution_ids":["https://openalex.org/I8078737"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018157223","display_name":"M.B. Pursley","orcid":"https://orcid.org/0000-0002-6985-5272"},"institutions":[{"id":"https://openalex.org/I8078737","display_name":"Clemson University","ror":"https://ror.org/037s24f05","country_code":"US","type":"education","lineage":["https://openalex.org/I8078737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael B. Pursley","raw_affiliation_strings":["Clemson University, Clemson, SC, US","Clemson University, USA"],"affiliations":[{"raw_affiliation_string":"Clemson University, Clemson, SC, US","institution_ids":["https://openalex.org/I8078737"]},{"raw_affiliation_string":"Clemson University, USA","institution_ids":["https://openalex.org/I8078737"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5062501023"],"corresponding_institution_ids":["https://openalex.org/I8078737"],"apc_list":null,"apc_paid":null,"fwci":2.9146,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.9159259,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"47","issue":null,"first_page":"453","last_page":"458"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11409","display_name":"Advanced Wireless Network Optimization","score":0.9998999834060669,"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/T11409","display_name":"Advanced Wireless Network Optimization","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.9994000196456909,"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":0.9303297400474548},{"id":"https://openalex.org/keywords/nakagami-distribution","display_name":"Nakagami distribution","score":0.8683258295059204},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.7622500658035278},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.636096179485321},{"id":"https://openalex.org/keywords/fading-distribution","display_name":"Fading distribution","score":0.5966174602508545},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.5588325262069702},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.5097660422325134},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.48602014780044556},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.44419345259666443},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.32696443796157837},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30183109641075134},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2753085494041443},{"id":"https://openalex.org/keywords/rayleigh-fading","display_name":"Rayleigh fading","score":0.1416844129562378},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.09263691306114197},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.06816846132278442}],"concepts":[{"id":"https://openalex.org/C81978471","wikidata":"https://www.wikidata.org/wiki/Q1196572","display_name":"Fading","level":3,"score":0.9303297400474548},{"id":"https://openalex.org/C115098869","wikidata":"https://www.wikidata.org/wiki/Q3258347","display_name":"Nakagami distribution","level":4,"score":0.8683258295059204},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.7622500658035278},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.636096179485321},{"id":"https://openalex.org/C161126049","wikidata":"https://www.wikidata.org/wiki/Q5429266","display_name":"Fading distribution","level":5,"score":0.5966174602508545},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.5588325262069702},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.5097660422325134},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.48602014780044556},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44419345259666443},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.32696443796157837},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30183109641075134},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2753085494041443},{"id":"https://openalex.org/C56985126","wikidata":"https://www.wikidata.org/wiki/Q854039","display_name":"Rayleigh fading","level":4,"score":0.1416844129562378},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.09263691306114197},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.06816846132278442}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/milcom.2011.6127711","is_oa":false,"landing_page_url":"https://doi.org/10.1109/milcom.2011.6127711","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 - MILCOM 2011 Military Communications Conference","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":25,"referenced_works":["https://openalex.org/W1555197957","https://openalex.org/W1576718945","https://openalex.org/W1596939795","https://openalex.org/W1891591878","https://openalex.org/W1991487484","https://openalex.org/W2067105733","https://openalex.org/W2076524509","https://openalex.org/W2080584649","https://openalex.org/W2086695561","https://openalex.org/W2096994195","https://openalex.org/W2098046554","https://openalex.org/W2099735551","https://openalex.org/W2101718796","https://openalex.org/W2114509411","https://openalex.org/W2120471278","https://openalex.org/W2126897670","https://openalex.org/W2130258422","https://openalex.org/W2131566996","https://openalex.org/W2147072043","https://openalex.org/W2155023848","https://openalex.org/W2164599584","https://openalex.org/W2168847332","https://openalex.org/W2171541202","https://openalex.org/W2942706550","https://openalex.org/W4233022137"],"related_works":["https://openalex.org/W2099103262","https://openalex.org/W2100512474","https://openalex.org/W2151261174","https://openalex.org/W2356860210","https://openalex.org/W2097729452","https://openalex.org/W2156188675","https://openalex.org/W2118931651","https://openalex.org/W2146254192","https://openalex.org/W2115794616","https://openalex.org/W2164974156"],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2,9,86,99],"method":[3],"for":[4,54],"selecting":[5],"the":[6,22,36,51,55,83,93,96,105],"parameters":[7,76],"of":[8,25,40,85,95,107],"finite-state":[10],"Markov":[11,28],"chain":[12,29],"to":[13,67,81,90,104],"match":[14,68],"slow":[15],"fading":[16,47,97],"channels":[17],"that":[18],"are":[19,31,111],"characterized":[20],"by":[21,59],"Nakagami-m":[23],"family":[24],"probability":[26],"distributions.":[27],"models":[30],"very":[32],"valuable":[33],"tools":[34],"in":[35,92],"analysis":[37],"and":[38,43,50],"simulation":[39],"protocols,":[41],"systems,":[42],"networks.":[44],"The":[45],"Nakagami":[46],"parameter":[48,53],"m":[49],"correlation":[52],"fade":[56],"levels":[57],"experienced":[58],"consecutive":[60],"symbols":[61],"or":[62,72,88],"packets":[63],"can":[64,77],"be":[65,79],"adjusted":[66],"anticipated":[69],"propagation":[70],"conditions":[71],"experimental":[73],"data.":[74],"These":[75],"also":[78],"varied":[80],"test":[82],"sensitivity":[84],"protocol":[87],"system":[89],"changes":[91],"characteristics":[94],"on":[98],"tactical":[100],"communications":[101],"link.":[102],"Applications":[103],"evaluation":[106],"adaptive":[108],"transmission":[109],"protocols":[110],"described.":[112]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
