{"id":"https://openalex.org/W3021944740","doi":"https://doi.org/10.1109/ciss48834.2020.1570617107","title":"Belief Propagation Pattern-Coupled Sparse Bayesian Learning for Non-Stationary Uplink Channel Estimation Over Massive-MIMO Based 5G Mobile Wireless Networks","display_name":"Belief Propagation Pattern-Coupled Sparse Bayesian Learning for Non-Stationary Uplink Channel Estimation Over Massive-MIMO Based 5G Mobile Wireless Networks","publication_year":2020,"publication_date":"2020-03-01","ids":{"openalex":"https://openalex.org/W3021944740","doi":"https://doi.org/10.1109/ciss48834.2020.1570617107","mag":"3021944740"},"language":"en","primary_location":{"id":"doi:10.1109/ciss48834.2020.1570617107","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ciss48834.2020.1570617107","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 54th Annual Conference on Information Sciences and Systems (CISS)","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/A5006064562","display_name":"Jianqiao Chen","orcid":"https://orcid.org/0000-0002-8877-6537"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jianqiao Chen","raw_affiliation_strings":["Networking and Information Systems Laboratory, Texas A&M University, TX, USA"],"affiliations":[{"raw_affiliation_string":"Networking and Information Systems Laboratory, Texas A&M University, TX, USA","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110730227","display_name":"Xi Zhang","orcid":"https://orcid.org/0000-0001-7574-9487"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xi Zhang","raw_affiliation_strings":["Networking and Information Systems Laboratory, Texas A&M University, TX, USA"],"affiliations":[{"raw_affiliation_string":"Networking and Information Systems Laboratory, Texas A&M University, TX, USA","institution_ids":["https://openalex.org/I91045830"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5006064562"],"corresponding_institution_ids":["https://openalex.org/I91045830"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03422718,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10148","display_name":"Advanced MIMO Systems Optimization","score":1.0,"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":1.0,"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/T12791","display_name":"Full-Duplex Wireless Communications","score":0.9961000084877014,"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/T11392","display_name":"Energy Harvesting in Wireless Networks","score":0.9958000183105469,"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/computer-science","display_name":"Computer science","score":0.6143124103546143},{"id":"https://openalex.org/keywords/factor-graph","display_name":"Factor graph","score":0.6101871728897095},{"id":"https://openalex.org/keywords/telecommunications-link","display_name":"Telecommunications link","score":0.5887020826339722},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5702179670333862},{"id":"https://openalex.org/keywords/mimo","display_name":"MIMO","score":0.5513336062431335},{"id":"https://openalex.org/keywords/expectation\u2013maximization-algorithm","display_name":"Expectation\u2013maximization algorithm","score":0.5448791980743408},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.40793052315711975},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2422257661819458},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.14570090174674988},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09807237982749939},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.08648300170898438},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07431548833847046}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6143124103546143},{"id":"https://openalex.org/C159246509","wikidata":"https://www.wikidata.org/wiki/Q5428725","display_name":"Factor graph","level":3,"score":0.6101871728897095},{"id":"https://openalex.org/C138660444","wikidata":"https://www.wikidata.org/wiki/Q5607897","display_name":"Telecommunications link","level":2,"score":0.5887020826339722},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5702179670333862},{"id":"https://openalex.org/C207987634","wikidata":"https://www.wikidata.org/wiki/Q176862","display_name":"MIMO","level":3,"score":0.5513336062431335},{"id":"https://openalex.org/C182081679","wikidata":"https://www.wikidata.org/wiki/Q1275153","display_name":"Expectation\u2013maximization algorithm","level":3,"score":0.5448791980743408},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.40793052315711975},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2422257661819458},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.14570090174674988},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09807237982749939},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.08648300170898438},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07431548833847046}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ciss48834.2020.1570617107","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ciss48834.2020.1570617107","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 54th Annual Conference on Information Sciences and Systems (CISS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W203533378","https://openalex.org/W1938636034","https://openalex.org/W2023535408","https://openalex.org/W2033419225","https://openalex.org/W2071282831","https://openalex.org/W2076457767","https://openalex.org/W2084304524","https://openalex.org/W2120549790","https://openalex.org/W2121528570","https://openalex.org/W2135780853","https://openalex.org/W2137628444","https://openalex.org/W2141682101","https://openalex.org/W2793941641","https://openalex.org/W2799083955","https://openalex.org/W6608218929"],"related_works":["https://openalex.org/W2548963335","https://openalex.org/W2159941915","https://openalex.org/W1995129237","https://openalex.org/W4388081250","https://openalex.org/W1761601995","https://openalex.org/W2904599916","https://openalex.org/W4321608401","https://openalex.org/W4300468626","https://openalex.org/W2165761543","https://openalex.org/W1872030028"],"abstract_inverted_index":{"In":[0,88],"this":[1],"paper,":[2],"we":[3,72,106,137,149],"develop":[4,107],"a":[5,34,81,108],"novel":[6],"sparse":[7,42,113],"Bayesian":[8,114],"learning":[9,115],"(SBL)":[10],"scheme":[11],"for":[12],"recovery":[13],"of":[14,69,133,167,192],"block-sparse":[15,125],"uplink":[16,126,135],"channels":[17],"in":[18,141,179],"time-division":[19],"duplex":[20],"(TDD)":[21],"massive":[22],"multi-input":[23],"multi-output":[24],"(MIMO)":[25],"based":[26],"5G":[27],"mobile":[28],"wireless":[29],"networks.":[30],"We":[31],"first":[32],"introduce":[33],"pattern-coupled":[35,112],"hierarchical":[36],"Gaussian":[37,145],"prior":[38],"to":[39,59,65,78,99,119,123,152],"characterize":[40],"the":[41,49,67,85,89,91,101,121,130,160,173,190],"channel":[43,70],"dependency":[44,50],"among":[45],"neighboring":[46],"antennas,":[47],"where":[48],"coefficient":[51],"is":[52,97],"modeled":[53],"by":[54,172],"birth-":[55],"death":[56],"process.":[57],"Then,":[58],"derive":[60],"hyperparameters,":[61],"which":[62,177],"are":[63],"employed":[64,98],"control":[66],"sparsity":[68],"coefficients,":[71],"exploit":[73],"an":[74],"expectation-maximization":[75],"(EM)":[76],"formulation":[77],"iteratively":[79],"maximize":[80,100],"lower":[82,102],"bound":[83,103],"on":[84,129],"posterior":[86],"probability.":[87],"M-step,":[90],"particle":[92],"swarm":[93],"optimization":[94],"(PSO)":[95],"algorithm":[96,163],"efficiently.":[104],"Finally,":[105],"belief":[109],"propagation":[110],"(BP)-based":[111],"(PC-SBL)":[116],"algorithm,":[117,176],"referred":[118],"as":[120,170],"BP-PC-SBL,":[122],"recover":[124],"channels.":[127],"Based":[128],"factor":[131],"graph":[132],"blocksparse":[134],"channels,":[136],"show":[138],"that":[139],"messages":[140],"BP":[142],"satisfy":[143],"complex":[144],"probability":[146],"distribution.":[147],"Therefore,":[148],"only":[150],"need":[151],"update":[153],"their":[154],"means":[155],"and":[156,188,196],"variances":[157],"when":[158],"updating":[159],"messages.":[161],"BP-PC-SBL":[162],"provides":[164],"precise":[165],"approximations":[166],"matrix":[168],"inversion":[169],"computed":[171],"conventional":[174],"SBL":[175],"results":[178],"significantly":[180],"improved":[181],"computational":[182],"efficiency.":[183],"Our":[184],"numerical":[185],"analyses":[186],"validate":[187],"evaluate":[189],"effectiveness":[191],"our":[193],"proposed":[194],"schemes":[195],"algorithms.":[197]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}