{"id":"https://openalex.org/W3185534328","doi":"https://doi.org/10.1109/tvt.2021.3099228","title":"Low-Complexity MIMO Detection Based on Reinforcement Learning With One-Bit ADCs","display_name":"Low-Complexity MIMO Detection Based on Reinforcement Learning With One-Bit ADCs","publication_year":2021,"publication_date":"2021-07-26","ids":{"openalex":"https://openalex.org/W3185534328","doi":"https://doi.org/10.1109/tvt.2021.3099228","mag":"3185534328"},"language":"en","primary_location":{"id":"doi:10.1109/tvt.2021.3099228","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2021.3099228","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"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 Vehicular Technology","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/A5030767009","display_name":"Tae-Kyoung Kim","orcid":"https://orcid.org/0000-0002-9629-7413"},"institutions":[{"id":"https://openalex.org/I11893660","display_name":"Mokpo National University","ror":"https://ror.org/00v81k483","country_code":"KR","type":"education","lineage":["https://openalex.org/I11893660"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Tae-Kyoung Kim","raw_affiliation_strings":["Department of Electronics, Information and Communication Engineering, Mokpo National University, Muan, Jeonnam, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-9629-7413","affiliations":[{"raw_affiliation_string":"Department of Electronics, Information and Communication Engineering, Mokpo National University, Muan, Jeonnam, South Korea","institution_ids":["https://openalex.org/I11893660"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012803748","display_name":"Yo\u2013Seb Jeon","orcid":"https://orcid.org/0000-0002-2886-157X"},"institutions":[{"id":"https://openalex.org/I123900574","display_name":"Pohang University of Science and Technology","ror":"https://ror.org/04xysgw12","country_code":"KR","type":"education","lineage":["https://openalex.org/I123900574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yo-Seb Jeon","raw_affiliation_strings":["Department of Electrical Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Gyeongbuk, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-2886-157X","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Gyeongbuk, South Korea","institution_ids":["https://openalex.org/I123900574"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083169327","display_name":"Moonsik Min","orcid":"https://orcid.org/0000-0002-1206-3805"},"institutions":[{"id":"https://openalex.org/I31419693","display_name":"Kyungpook National University","ror":"https://ror.org/040c17130","country_code":"KR","type":"education","lineage":["https://openalex.org/I31419693"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Moonsik Min","raw_affiliation_strings":["School of Electronic and Electrical Engineering, Kyungpook National University, Daegu, South Korea","School of Electronics Engineering, Kyungpook National University, Daegu, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-1206-3805","affiliations":[{"raw_affiliation_string":"School of Electronic and Electrical Engineering, Kyungpook National University, Daegu, South Korea","institution_ids":["https://openalex.org/I31419693"]},{"raw_affiliation_string":"School of Electronics Engineering, Kyungpook National University, Daegu, South Korea","institution_ids":["https://openalex.org/I31419693"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5792,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.62013813,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"70","issue":"9","first_page":"9022","last_page":"9035"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10323","display_name":"Analog and Mixed-Signal Circuit Design","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T10323","display_name":"Analog and Mixed-Signal Circuit Design","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T10187","display_name":"Radio Frequency Integrated Circuit Design","score":0.9976000189781189,"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":0.9923999905586243,"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/reinforcement-learning","display_name":"Reinforcement learning","score":0.7546290159225464},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.6502733826637268},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5933787226676941},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5788520574569702},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.512461245059967},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.49109458923339844},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4667155146598816},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.286129891872406}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7546290159225464},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.6502733826637268},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5933787226676941},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5788520574569702},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.512461245059967},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.49109458923339844},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4667155146598816},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.286129891872406},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tvt.2021.3099228","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2021.3099228","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"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 Vehicular Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1941711871","display_name":null,"funder_award_id":"2020R1F1A1071649","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G2048500490","display_name":null,"funder_award_id":"2021R1F1A1063273","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G430054829","display_name":null,"funder_award_id":"2020R1G1A1099962","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G5768839943","display_name":null,"funder_award_id":"4199990113966","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W41554520","https://openalex.org/W1560563382","https://openalex.org/W1763302039","https://openalex.org/W1776974347","https://openalex.org/W2016999686","https://openalex.org/W2024815294","https://openalex.org/W2054692642","https://openalex.org/W2056482591","https://openalex.org/W2062485676","https://openalex.org/W2118627808","https://openalex.org/W2121863487","https://openalex.org/W2134179788","https://openalex.org/W2158514137","https://openalex.org/W2259323981","https://openalex.org/W2526144952","https://openalex.org/W2533046718","https://openalex.org/W2605537711","https://openalex.org/W2605765189","https://openalex.org/W2781054684","https://openalex.org/W2789724270","https://openalex.org/W2794190039","https://openalex.org/W2897135789","https://openalex.org/W2902235256","https://openalex.org/W2903819812","https://openalex.org/W2918650740","https://openalex.org/W2964163499","https://openalex.org/W2991708646","https://openalex.org/W3009979476","https://openalex.org/W3017858023","https://openalex.org/W3099569782","https://openalex.org/W3104166565","https://openalex.org/W3104906839"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4312814274","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,150,182],"low-complexity":[4],"reinforcement":[5],"learning":[6],"detection":[7],"(RLD)":[8],"algorithm":[9,20,49,112,165,180],"for":[10,124],"multi-input":[11],"multi-output":[12],"systems":[13],"with":[14],"one-bit":[15],"analog-to-digital":[16],"converters.":[17],"The":[18],"proposed":[19,164,179],"exploits":[21],"pairs":[22],"of":[23,39,162,171],"quantized":[24],"received":[25],"signals":[26],"and":[27,131,138],"detected":[28],"symbols":[29,143],"as":[30],"training":[31,62],"examples":[32,63],"to":[33,51,59,101,120,153],"train":[34],"the":[35,40,47,53,61,69,87,93,110,136,141,155,160,163,168,178,187],"likelihood":[36],"function":[37],"(LF)":[38],"system.":[41],"A":[42],"major":[43,106],"challenge":[44,107],"in":[45,76,108],"optimizing":[46],"RLD":[48,111,189],"is":[50,113],"determine":[52],"optimal":[54,70,88],"policy":[55,71,89],"that":[56,114,177],"decides":[57],"whether":[58],"exploit":[60],"based":[64],"on":[65],"their":[66],"reliabilities.":[67],"Determining":[68],"inherently":[72],"involves":[73],"huge":[74],"complexities":[75],"reflecting":[77],"all":[78,98],"possible":[79,99],"transitions":[80],"among":[81,97],"candidate":[82,142],"symbols.":[83],"Thus,":[84,126],"we":[85,127,158],"simplify":[86],"by":[90,166],"considering":[91],"only":[92],"most":[94],"probable":[95],"candidates":[96],"decisions":[100],"reduce":[102],"this":[103],"complexity.":[104,156],"Another":[105],"applying":[109],"it":[115],"requires":[116],"high":[117],"computational":[118],"complexity":[119,161],"produce":[121],"soft":[122],"information":[123],"detection.":[125],"define":[128],"new":[129],"branch":[130],"path":[132,145],"metrics":[133,146],"derived":[134],"from":[135],"LF":[137],"then":[139],"remove":[140],"whose":[144],"are":[147],"smaller":[148],"than":[149,186],"pre-defined":[151],"value":[152],"alleviate":[154],"Moreover,":[157],"analyze":[159],"deriving":[167],"expected":[169],"number":[170],"surviving":[172],"candidates.":[173],"Simulation":[174],"results":[175],"show":[176],"provides":[181],"better":[183],"performance-complexity":[184],"tradeoff":[185],"conventional":[188],"algorithm.":[190]},"counts_by_year":[{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}