{"id":"https://openalex.org/W2887520228","doi":"https://doi.org/10.1109/tsp.2018.2862420","title":"Downlink Channel Estimation in Multiuser Massive MIMO With Hidden Markovian Sparsity","display_name":"Downlink Channel Estimation in Multiuser Massive MIMO With Hidden Markovian Sparsity","publication_year":2018,"publication_date":"2018-08-06","ids":{"openalex":"https://openalex.org/W2887520228","doi":"https://doi.org/10.1109/tsp.2018.2862420","mag":"2887520228"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2018.2862420","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2018.2862420","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Signal Processing","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/A5100340369","display_name":"An Liu","orcid":"https://orcid.org/0000-0002-3943-5234"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"An Liu","raw_affiliation_strings":["Zhejiang University, Hangzhou, Zhejiang, CN"],"raw_orcid":"https://orcid.org/0000-0002-3943-5234","affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, Zhejiang, CN","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005274577","display_name":"Lixiang Lian","orcid":"https://orcid.org/0000-0002-9958-7264"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Lixiang Lian","raw_affiliation_strings":["Hong Kong University of Science and Technology, Kowloon, HK"],"raw_orcid":"https://orcid.org/0000-0002-9958-7264","affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology, Kowloon, HK","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073153992","display_name":"Vincent K. N. Lau","orcid":"https://orcid.org/0000-0001-7769-6008"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]},{"id":"https://openalex.org/I4210096887","display_name":"HKUST Shenzhen Research Institute","ror":"https://ror.org/00sz56h79","country_code":"CN","type":"facility","lineage":["https://openalex.org/I200769079","https://openalex.org/I20231570","https://openalex.org/I4210096887","https://openalex.org/I4210147811"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Vincent K. N. Lau","raw_affiliation_strings":["Department of ECE, The Hong Kong University of Science and Technology, Hong Kong","HKUST Shenzhen Research Institute, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of ECE, The Hong Kong University of Science and Technology, Hong Kong","institution_ids":["https://openalex.org/I200769079"]},{"raw_affiliation_string":"HKUST Shenzhen Research Institute, Shenzhen, China","institution_ids":["https://openalex.org/I4210096887"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063946480","display_name":"Xiaojun Yuan","orcid":"https://orcid.org/0000-0002-0433-6535"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaojun Yuan","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, CN"],"raw_orcid":"https://orcid.org/0000-0002-0433-6535","affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, CN","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100340369"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":2.6177,"has_fulltext":false,"cited_by_count":53,"citation_normalized_percentile":{"value":0.90517188,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"66","issue":"18","first_page":"4796","last_page":"4810"},"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/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.9993000030517578,"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/T10796","display_name":"Cooperative Communication and Network Coding","score":0.9993000030517578,"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/computer-science","display_name":"Computer science","score":0.7276206612586975},{"id":"https://openalex.org/keywords/mimo","display_name":"MIMO","score":0.6851513385772705},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.6363648176193237},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.621961236000061},{"id":"https://openalex.org/keywords/telecommunications-link","display_name":"Telecommunications link","score":0.5856226682662964},{"id":"https://openalex.org/keywords/turbo","display_name":"Turbo","score":0.553813099861145},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5116403698921204},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.4515990614891052},{"id":"https://openalex.org/keywords/message-passing","display_name":"Message passing","score":0.4397924542427063},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2992475628852844},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17171886563301086},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.09174928069114685},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07686671614646912},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07380783557891846},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.07299777865409851}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7276206612586975},{"id":"https://openalex.org/C207987634","wikidata":"https://www.wikidata.org/wiki/Q176862","display_name":"MIMO","level":3,"score":0.6851513385772705},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.6363648176193237},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.621961236000061},{"id":"https://openalex.org/C138660444","wikidata":"https://www.wikidata.org/wiki/Q5607897","display_name":"Telecommunications link","level":2,"score":0.5856226682662964},{"id":"https://openalex.org/C2776240298","wikidata":"https://www.wikidata.org/wiki/Q1138513","display_name":"Turbo","level":2,"score":0.553813099861145},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5116403698921204},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.4515990614891052},{"id":"https://openalex.org/C854659","wikidata":"https://www.wikidata.org/wiki/Q1859284","display_name":"Message passing","level":2,"score":0.4397924542427063},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2992475628852844},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17171886563301086},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.09174928069114685},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07686671614646912},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07380783557891846},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.07299777865409851},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tsp.2018.2862420","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2018.2862420","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-94204","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-94204","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"pmh:oai:repository.ust.hk:1783.1-94204","is_oa":false,"landing_page_url":"http://www.scopus.com/record/display.url?eid=2-s2.0-85051005034&origin=inward","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2365542088","display_name":null,"funder_award_id":"61571383","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5466787457","display_name":null,"funder_award_id":"61471241","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":34,"referenced_works":["https://openalex.org/W1483249443","https://openalex.org/W1587872684","https://openalex.org/W1938636034","https://openalex.org/W1997834106","https://openalex.org/W2000828982","https://openalex.org/W2041467025","https://openalex.org/W2049633694","https://openalex.org/W2082029531","https://openalex.org/W2092734317","https://openalex.org/W2102251435","https://openalex.org/W2111953900","https://openalex.org/W2120549790","https://openalex.org/W2140966562","https://openalex.org/W2145412765","https://openalex.org/W2272774410","https://openalex.org/W2463747392","https://openalex.org/W2489416480","https://openalex.org/W2520000847","https://openalex.org/W2543631487","https://openalex.org/W2603333836","https://openalex.org/W2610971674","https://openalex.org/W2777046509","https://openalex.org/W2963199294","https://openalex.org/W2963602028","https://openalex.org/W2964047892","https://openalex.org/W3009717121","https://openalex.org/W3020652653","https://openalex.org/W3098848552","https://openalex.org/W3106237694","https://openalex.org/W4248709896","https://openalex.org/W6628967073","https://openalex.org/W6681107968","https://openalex.org/W6722846700","https://openalex.org/W6776592715"],"related_works":["https://openalex.org/W2548963335","https://openalex.org/W2159941915","https://openalex.org/W1995129237","https://openalex.org/W1761601995","https://openalex.org/W4300468626","https://openalex.org/W2904599916","https://openalex.org/W4321608401","https://openalex.org/W2909457694","https://openalex.org/W3040536194","https://openalex.org/W2097713053"],"abstract_inverted_index":{"Recently,":[0],"compressive":[1],"sensing":[2],"based":[3,56,149],"massive":[4,24,45,88],"multiple":[5,7],"input":[6],"output":[8],"(MIMO)":[9],"channel":[10,34,59,143,177],"estimation":[11,35],"(CE)":[12],"has":[13,93],"attracted":[14],"intensive":[15],"research":[16],"interest.":[17],"By":[18],"exploiting":[19],"the":[20,41,83,94,121,141,151,158,164,183,191],"structured":[21,32,84],"sparsity":[22,85],"of":[23,86,140],"MIMO":[25,46,89],"channels,":[26],"it":[27],"is":[28,146],"possible":[29],"to":[30,38,81,96,119],"design":[31],"sparse":[33,123],"(SSCE)":[36],"algorithms":[37,53,194],"significantly":[39],"reduce":[40],"pilot/feedback":[42],"overheads":[43],"in":[44,103],"downlink":[47],"CE.":[48],"However,":[49],"most":[50],"existing":[51,192],"SSCE":[52,193],"are":[54],"designed":[55],"on":[57,150],"oversimplified":[58],"models":[60],"with":[61,126,171],"restrictive":[62],"assumptions,":[63],"and":[64,175],"thus":[65],"perform":[66],"poorly":[67],"under":[68,195],"realistic":[69,169,196],"channels.":[70,90,197],"In":[71],"this":[72],"paper,":[73],"we":[74],"propose":[75],"a":[76,156],"<bold":[77],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[78,129],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">Hidden-Markov-Model</b>":[79],"(HMM)":[80],"capture":[82],"multiuser":[87],"The":[91,133],"HMM":[92,142,165],"flexibility":[95],"model":[97],"different":[98],"propagation":[99,173],"environments":[100,174],"that":[101,182],"occur":[102],"practice.":[104],"We":[105],"derive":[106],"an":[107,127],"efficient":[108],"approximate":[109,115],"message":[110,116],"passing":[111,117],"algorithm":[112,161],"called":[113],"Turbo-orthogonal":[114],"(OAMP)":[118],"solve":[120],"resulting":[122],"CE":[124],"problem":[125],"<italic":[128],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">HMM":[130],"prior</i>":[131],".":[132],"proposed":[134,159,184],"Turbo-OAMP":[135,160,185],"does":[136],"not":[137],"require":[138],"knowledge":[139],"parameters,":[144],"which":[145],"automatically":[147],"learned":[148],"expectation":[152],"maximization":[153],"framework.":[154],"As":[155],"result,":[157],"derived":[162],"from":[163],"works":[166],"well":[167],"for":[168],"channels":[170],"complicated":[172],"unknown":[176],"parameters.":[178],"Extensive":[179],"simulations":[180],"verify":[181],"can":[186],"achieve":[187],"significant":[188],"gains":[189],"over":[190]},"counts_by_year":[{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
