{"id":"https://openalex.org/W2510822390","doi":"https://doi.org/10.1109/lcomm.2016.2599874","title":"Markov Chain Monte Carlo-Based Separation of Paired Carrier Multiple Access Signals","display_name":"Markov Chain Monte Carlo-Based Separation of Paired Carrier Multiple Access Signals","publication_year":2016,"publication_date":"2016-08-12","ids":{"openalex":"https://openalex.org/W2510822390","doi":"https://doi.org/10.1109/lcomm.2016.2599874","mag":"2510822390"},"language":"en","primary_location":{"id":"doi:10.1109/lcomm.2016.2599874","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lcomm.2016.2599874","pdf_url":null,"source":{"id":"https://openalex.org/S147316732","display_name":"IEEE Communications Letters","issn_l":"1089-7798","issn":["1089-7798","1558-2558","2373-7891"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications Society","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 Communications Letters","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/A5103091071","display_name":"Yang Yong","orcid":"https://orcid.org/0000-0002-7737-0400"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yong Yang","raw_affiliation_strings":["National Digital Switching System Engineering and Technological Research Center, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Digital Switching System Engineering and Technological Research Center, Zhengzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009162241","display_name":"Hua Peng","orcid":"https://orcid.org/0000-0001-5761-3535"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hua Peng","raw_affiliation_strings":["National Digital Switching System Engineering and Technological Research Center, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Digital Switching System Engineering and Technological Research Center, Zhengzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040688900","display_name":"Dongling Zhang","orcid":"https://orcid.org/0000-0001-6623-588X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dongling Zhang","raw_affiliation_strings":["National Digital Switching System Engineering and Technological Research Center, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Digital Switching System Engineering and Technological Research Center, Zhengzhou, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051995522","display_name":"Xiping Dai","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiping Dai","raw_affiliation_strings":["Jiuquan Satellite Launch Center, Jiuquan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiuquan Satellite Launch Center, Jiuquan, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5002,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.63711041,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"20","issue":"11","first_page":"2209","last_page":"2212"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11447","display_name":"Blind Source Separation Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10860","display_name":"Speech and Audio Processing","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/markov-chain-monte-carlo","display_name":"Markov chain Monte Carlo","score":0.7893020510673523},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.67270827293396},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6437582969665527},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.6281211972236633},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.5508650541305542},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5214361548423767},{"id":"https://openalex.org/keywords/gibbs-sampling","display_name":"Gibbs sampling","score":0.5178711414337158},{"id":"https://openalex.org/keywords/blind-signal-separation","display_name":"Blind signal separation","score":0.4698321521282196},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.45939064025878906},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.41266098618507385},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.38955608010292053},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.24595308303833008},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23479947447776794},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2031840682029724},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.14428594708442688},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.10139709711074829},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.0913676917552948}],"concepts":[{"id":"https://openalex.org/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.7893020510673523},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.67270827293396},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6437582969665527},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.6281211972236633},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5508650541305542},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5214361548423767},{"id":"https://openalex.org/C158424031","wikidata":"https://www.wikidata.org/wiki/Q1191905","display_name":"Gibbs sampling","level":3,"score":0.5178711414337158},{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.4698321521282196},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.45939064025878906},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.41266098618507385},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.38955608010292053},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.24595308303833008},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23479947447776794},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2031840682029724},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.14428594708442688},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.10139709711074829},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.0913676917552948},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lcomm.2016.2599874","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lcomm.2016.2599874","pdf_url":null,"source":{"id":"https://openalex.org/S147316732","display_name":"IEEE Communications Letters","issn_l":"1089-7798","issn":["1089-7798","1558-2558","2373-7891"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications Society","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 Communications Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7046072648","display_name":null,"funder_award_id":"61401511","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1986981263","https://openalex.org/W2024518655","https://openalex.org/W2047731823","https://openalex.org/W2066308881","https://openalex.org/W2105324718","https://openalex.org/W2154001137","https://openalex.org/W2161062000","https://openalex.org/W2169886347","https://openalex.org/W2293147534","https://openalex.org/W2329728593","https://openalex.org/W2348271723","https://openalex.org/W2546702590"],"related_works":["https://openalex.org/W2126907425","https://openalex.org/W2208639223","https://openalex.org/W2114656557","https://openalex.org/W3125971950","https://openalex.org/W1499764293","https://openalex.org/W1580681286","https://openalex.org/W2195963939","https://openalex.org/W2116700007","https://openalex.org/W2175355783","https://openalex.org/W2514372983"],"abstract_inverted_index":{"Paired":[0],"carrier":[1],"multiple":[2],"access":[3],"(PCMA)":[4],"signal":[5],"is":[6,15,59,70,88],"one":[7],"of":[8,35,65],"the":[9,22,32,51,63,85,91,99],"most":[10],"common":[11],"single-channel":[12,37],"mixtures.":[13],"It":[14],"still":[16],"a":[17,43,78],"great":[18],"challenge":[19],"to":[20,31,61],"recover":[21],"component":[23],"signals":[24,29],"from":[25],"non-cooperative":[26],"received":[27],"PCMA":[28,66],"due":[30],"high":[33],"complexity":[34],"existing":[36],"blind":[38],"source":[39],"separation":[40,64],"algorithms.":[41],"Hence,":[42],"Markov":[44],"chain":[45],"Monte":[46],"Carlo":[47],"(MCMC)":[48],"procedure,":[49],"called":[50],"QR":[52],"Decomposition":[53],"with":[54],"M":[55],"algorithm-based":[56],"Gibbs":[57,93],"sampler,":[58],"employed":[60],"realize":[62],"signals.":[67],"The":[68],"method":[69],"robust":[71],"against":[72],"modulation":[73],"parameter":[74],"estimation":[75],"error,":[76],"since":[77],"data-aided":[79],"adaptive":[80],"filter":[81],"that":[82,98],"can":[83],"update":[84],"channel":[86],"response":[87],"embedded":[89],"into":[90],"QRD-M-based":[92],"sampler.":[94],"Simulation":[95],"results":[96],"show":[97],"MCMC":[100],"estimator":[101],"efficiently":[102],"achieves":[103],"approximately":[104],"joint":[105],"likelihood":[106],"sequence":[107],"estimation.":[108]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}