{"id":"https://openalex.org/W4290996471","doi":"https://doi.org/10.1109/icc45855.2022.9839060","title":"Sparse Bayesian Learning for Channel Estimation: A DDPG-Driven Deep-Unfolding Approach with Adaptive Depth","display_name":"Sparse Bayesian Learning for Channel Estimation: A DDPG-Driven Deep-Unfolding Approach with Adaptive Depth","publication_year":2022,"publication_date":"2022-05-16","ids":{"openalex":"https://openalex.org/W4290996471","doi":"https://doi.org/10.1109/icc45855.2022.9839060"},"language":"en","primary_location":{"id":"doi:10.1109/icc45855.2022.9839060","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc45855.2022.9839060","pdf_url":null,"source":{"id":"https://openalex.org/S4363607711","display_name":"ICC 2022 - IEEE International Conference on Communications","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2022 - IEEE International Conference on Communications","raw_type":"proceedings-article"},"type":"conference-paper","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/A5051892787","display_name":"Qiyu Hu","orcid":"https://orcid.org/0000-0002-8540-7197"},"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":false,"raw_author_name":"Qiyu Hu","raw_affiliation_strings":["Zhejiang University,College of Information Science and Electronic Engineering,Hangzhou,China","College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University,College of Information Science and Electronic Engineering,Hangzhou,China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110849491","display_name":"Shuhan Shi","orcid":null},"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":false,"raw_author_name":"Shuhan Shi","raw_affiliation_strings":["Zhejiang University,College of Information Science and Electronic Engineering,Hangzhou,China","College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University,College of Information Science and Electronic Engineering,Hangzhou,China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034376590","display_name":"Yunlong Cai","orcid":"https://orcid.org/0000-0001-9418-1700"},"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":false,"raw_author_name":"Yunlong Cai","raw_affiliation_strings":["Zhejiang University,College of Information Science and Electronic Engineering,Hangzhou,China","College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University,College of Information Science and Electronic Engineering,Hangzhou,China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079187892","display_name":"Guanding Yu","orcid":"https://orcid.org/0000-0003-1354-2557"},"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":false,"raw_author_name":"Guanding Yu","raw_affiliation_strings":["Zhejiang University,College of Information Science and Electronic Engineering,Hangzhou,China","College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University,College of Information Science and Electronic Engineering,Hangzhou,China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"62","issue":null,"first_page":"1282","last_page":"1287"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9951000213623047,"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":0.9951000213623047,"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/T10860","display_name":"Speech and Audio Processing","score":0.9944999814033508,"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/T12791","display_name":"Full-Duplex Wireless Communications","score":0.9919000267982483,"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":0.6915097236633301},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.6262364387512207},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.569724977016449},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5193617939949036},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5049942135810852},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5001213550567627},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4634554088115692},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.32487809658050537},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18685606122016907}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6915097236633301},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.6262364387512207},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.569724977016449},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5193617939949036},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5049942135810852},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5001213550567627},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4634554088115692},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.32487809658050537},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18685606122016907},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc45855.2022.9839060","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc45855.2022.9839060","pdf_url":null,"source":{"id":"https://openalex.org/S4363607711","display_name":"ICC 2022 - IEEE International Conference on Communications","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2022 - IEEE International Conference on Communications","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":18,"referenced_works":["https://openalex.org/W1938195807","https://openalex.org/W2071284784","https://openalex.org/W2076457767","https://openalex.org/W2120549790","https://openalex.org/W2128513990","https://openalex.org/W2325237720","https://openalex.org/W2509358755","https://openalex.org/W2768388424","https://openalex.org/W2963864421","https://openalex.org/W2964309963","https://openalex.org/W3011730771","https://openalex.org/W3096252532","https://openalex.org/W3096801155","https://openalex.org/W3112924872","https://openalex.org/W3167193327","https://openalex.org/W3185097200","https://openalex.org/W6684921986","https://openalex.org/W6701498492"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2611989081","https://openalex.org/W4230611425","https://openalex.org/W2731899572","https://openalex.org/W4294635752","https://openalex.org/W4304166257","https://openalex.org/W4383066092","https://openalex.org/W3215138031","https://openalex.org/W2804383999","https://openalex.org/W2802049774"],"abstract_inverted_index":{"Deep-unfolding":[0],"has":[1],"received":[2],"great":[3],"attention":[4],"since":[5],"it":[6],"achieves":[7],"satisfactory":[8],"performance":[9],"with":[10,36,54,89,109,133,174],"relatively":[11],"low":[12],"complexity.":[13],"Typically,":[14],"the":[15,27,61,67,73,90,105,124,141,156,160,167,171],"deep-unfolding":[16,53,68,144],"networks":[17],"are":[18,70],"restricted":[19],"to":[20,87,120,148],"a":[21,45,114,130,134],"fixed-depth":[22],"for":[23,33,57],"all":[24,102],"inputs.":[25,38,59],"However,":[26],"optimal":[28],"number":[29,177],"of":[30,47,79,101,136,159,178],"layers":[31],"required":[32],"convergence":[34],"changes":[35],"different":[37,58],"In":[39],"this":[40,83,150],"paper,":[41],"we":[42,103],"first":[43,100],"develop":[44,113],"framework":[46,84,145],"deep":[48],"deterministic":[49],"policy":[50],"gradient":[51],"(DDPG)-driven":[52],"adaptive":[55],"depth":[56],"Specifically,":[60,99],"optimization":[62],"variables,":[63],"trainable":[64,138],"parameters,":[65],"and":[66,76,112],"architecture":[69],"designed":[71],"as":[72],"state,":[74],"action,":[75],"state":[77],"transition":[78],"DDPG,":[80],"respectively.":[81],"Then,":[82],"is":[85,127,146],"employed":[86,147],"deal":[88],"channel":[91,106,151],"estimation":[92,107,152],"problem":[93,108,153],"in":[94],"massive":[95],"multiple-input":[96],"multiple-output":[97],"systems.":[98],"formulate":[104],"off-grid":[110],"basis":[111],"sparse":[115],"Bayesian":[116],"learning":[117],"(SBL)-based":[118],"algorithm":[119,126,169],"solve":[121,149],"it.":[122],"Secondly,":[123],"SBL-based":[125,161],"unfolded":[128,157],"into":[129],"layer-wise":[131],"structure":[132,158],"set":[135],"introduced":[137],"parameters.":[139],"Thirdly,":[140],"proposed":[142,168],"DDPG-driven":[143],"based":[154],"on":[155],"algorithm.":[162],"Simulation":[163],"results":[164],"show":[165],"that":[166],"outperforms":[170],"conventional":[172],"algorithms":[173],"much":[175],"reduced":[176],"layers.":[179]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}