{"id":"https://openalex.org/W4315783254","doi":"https://doi.org/10.1109/gcwkshps56602.2022.10008631","title":"Channel State Feedback with Neural Networks: A Discrete Representation Learning Approach","display_name":"Channel State Feedback with Neural Networks: A Discrete Representation Learning Approach","publication_year":2022,"publication_date":"2022-12-04","ids":{"openalex":"https://openalex.org/W4315783254","doi":"https://doi.org/10.1109/gcwkshps56602.2022.10008631"},"language":"en","primary_location":{"id":"doi:10.1109/gcwkshps56602.2022.10008631","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/gcwkshps56602.2022.10008631","pdf_url":null,"source":{"id":"https://openalex.org/S4363605011","display_name":"2022 IEEE Globecom Workshops (GC Wkshps)","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":"2022 IEEE Globecom Workshops (GC Wkshps)","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/A5101852903","display_name":"Yongjun Kim","orcid":"https://orcid.org/0000-0001-7368-689X"},"institutions":[{"id":"https://openalex.org/I2250650973","display_name":"Samsung (South Korea)","ror":"https://ror.org/04w3jy968","country_code":"KR","type":"company","lineage":["https://openalex.org/I2250650973"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Yongjun Kim","raw_affiliation_strings":["System LSI Business, Samsung Electronics,Korea","System LSI Business, Samsung Electronics, Korea"],"affiliations":[{"raw_affiliation_string":"System LSI Business, Samsung Electronics,Korea","institution_ids":["https://openalex.org/I2250650973"]},{"raw_affiliation_string":"System LSI Business, Samsung Electronics, Korea","institution_ids":["https://openalex.org/I2250650973"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100366235","display_name":"Jun-Ho Lee","orcid":"https://orcid.org/0000-0001-7693-8896"},"institutions":[{"id":"https://openalex.org/I2250650973","display_name":"Samsung (South Korea)","ror":"https://ror.org/04w3jy968","country_code":"KR","type":"company","lineage":["https://openalex.org/I2250650973"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Junho Lee","raw_affiliation_strings":["System LSI Business, Samsung Electronics,Korea","System LSI Business, Samsung Electronics, Korea"],"affiliations":[{"raw_affiliation_string":"System LSI Business, Samsung Electronics,Korea","institution_ids":["https://openalex.org/I2250650973"]},{"raw_affiliation_string":"System LSI Business, Samsung Electronics, Korea","institution_ids":["https://openalex.org/I2250650973"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101740395","display_name":"Jaein Kim","orcid":"https://orcid.org/0000-0002-3123-6599"},"institutions":[{"id":"https://openalex.org/I2250650973","display_name":"Samsung (South Korea)","ror":"https://ror.org/04w3jy968","country_code":"KR","type":"company","lineage":["https://openalex.org/I2250650973"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jaein Kim","raw_affiliation_strings":["System LSI Business, Samsung Electronics,Korea","System LSI Business, Samsung Electronics, Korea"],"affiliations":[{"raw_affiliation_string":"System LSI Business, Samsung Electronics,Korea","institution_ids":["https://openalex.org/I2250650973"]},{"raw_affiliation_string":"System LSI Business, Samsung Electronics, Korea","institution_ids":["https://openalex.org/I2250650973"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037984611","display_name":"Hyun-Seung Joo","orcid":null},"institutions":[{"id":"https://openalex.org/I2250650973","display_name":"Samsung (South Korea)","ror":"https://ror.org/04w3jy968","country_code":"KR","type":"company","lineage":["https://openalex.org/I2250650973"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyunseung Joo","raw_affiliation_strings":["System LSI Business, Samsung Electronics,Korea","System LSI Business, Samsung Electronics, Korea"],"affiliations":[{"raw_affiliation_string":"System LSI Business, Samsung Electronics,Korea","institution_ids":["https://openalex.org/I2250650973"]},{"raw_affiliation_string":"System LSI Business, Samsung Electronics, Korea","institution_ids":["https://openalex.org/I2250650973"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042198883","display_name":"Hui Won Je","orcid":null},"institutions":[{"id":"https://openalex.org/I2250650973","display_name":"Samsung (South Korea)","ror":"https://ror.org/04w3jy968","country_code":"KR","type":"company","lineage":["https://openalex.org/I2250650973"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hui Won Je","raw_affiliation_strings":["System LSI Business, Samsung Electronics,Korea","System LSI Business, Samsung Electronics, Korea"],"affiliations":[{"raw_affiliation_string":"System LSI Business, Samsung Electronics,Korea","institution_ids":["https://openalex.org/I2250650973"]},{"raw_affiliation_string":"System LSI Business, Samsung Electronics, Korea","institution_ids":["https://openalex.org/I2250650973"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100331815","display_name":"Jungwon Lee","orcid":"https://orcid.org/0000-0001-8922-063X"},"institutions":[{"id":"https://openalex.org/I2250650973","display_name":"Samsung (South Korea)","ror":"https://ror.org/04w3jy968","country_code":"KR","type":"company","lineage":["https://openalex.org/I2250650973"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jungwon Lee","raw_affiliation_strings":["System LSI Business, Samsung Electronics,Korea","System LSI Business, Samsung Electronics, Korea"],"affiliations":[{"raw_affiliation_string":"System LSI Business, Samsung Electronics,Korea","institution_ids":["https://openalex.org/I2250650973"]},{"raw_affiliation_string":"System LSI Business, Samsung Electronics, Korea","institution_ids":["https://openalex.org/I2250650973"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101852903"],"corresponding_institution_ids":["https://openalex.org/I2250650973"],"apc_list":null,"apc_paid":null,"fwci":0.6445,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.6401179,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11392","display_name":"Energy Harvesting in Wireless Networks","score":0.9994000196456909,"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/T11392","display_name":"Energy Harvesting in Wireless Networks","score":0.9994000196456909,"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9987000226974487,"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/T10207","display_name":"Advanced biosensing and bioanalysis techniques","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/codebook","display_name":"Codebook","score":0.8238492608070374},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6033378839492798},{"id":"https://openalex.org/keywords/vector-quantization","display_name":"Vector quantization","score":0.5472854375839233},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.5195612907409668},{"id":"https://openalex.org/keywords/learning-vector-quantization","display_name":"Learning vector quantization","score":0.5036816000938416},{"id":"https://openalex.org/keywords/mimo","display_name":"MIMO","score":0.4728691279888153},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.46958938241004944},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.46264493465423584},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.4519871473312378},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.41777780652046204},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3776305615901947},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.37086981534957886},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35229212045669556},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.3490970730781555}],"concepts":[{"id":"https://openalex.org/C127759330","wikidata":"https://www.wikidata.org/wiki/Q637416","display_name":"Codebook","level":2,"score":0.8238492608070374},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6033378839492798},{"id":"https://openalex.org/C199833920","wikidata":"https://www.wikidata.org/wiki/Q612536","display_name":"Vector quantization","level":2,"score":0.5472854375839233},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.5195612907409668},{"id":"https://openalex.org/C40567965","wikidata":"https://www.wikidata.org/wiki/Q1820283","display_name":"Learning vector quantization","level":3,"score":0.5036816000938416},{"id":"https://openalex.org/C207987634","wikidata":"https://www.wikidata.org/wiki/Q176862","display_name":"MIMO","level":3,"score":0.4728691279888153},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.46958938241004944},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.46264493465423584},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.4519871473312378},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.41777780652046204},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3776305615901947},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.37086981534957886},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35229212045669556},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.3490970730781555},{"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/gcwkshps56602.2022.10008631","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/gcwkshps56602.2022.10008631","pdf_url":null,"source":{"id":"https://openalex.org/S4363605011","display_name":"2022 IEEE Globecom Workshops (GC Wkshps)","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":"2022 IEEE Globecom Workshops (GC Wkshps)","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":14,"referenced_works":["https://openalex.org/W2113271807","https://openalex.org/W2242818861","https://openalex.org/W2752796333","https://openalex.org/W2963145597","https://openalex.org/W2963799213","https://openalex.org/W3024777099","https://openalex.org/W3091752016","https://openalex.org/W4205806546","https://openalex.org/W4224879672","https://openalex.org/W4290994016","https://openalex.org/W4290996376","https://openalex.org/W4312050602","https://openalex.org/W6690026940","https://openalex.org/W6839112887"],"related_works":["https://openalex.org/W2148772884","https://openalex.org/W2017514583","https://openalex.org/W2100120615","https://openalex.org/W1929869830","https://openalex.org/W2017401491","https://openalex.org/W2387054321","https://openalex.org/W2012827167","https://openalex.org/W2352648934","https://openalex.org/W2170599662","https://openalex.org/W2145213141"],"abstract_inverted_index":{"Channel":[0],"state":[1,31,90],"feedback":[2,32,67,84,91,120,234],"plays":[3],"a":[4,97,140,146],"pivotal":[5],"role":[6],"to":[7,38,62,103,153],"realize":[8],"the":[9,40,64,110,119,122,128,161,163,170,176,188,194,201,205,209,218,222,227],"full":[10],"potential":[11],"of":[12,21,42,48,54,66,82,112,127,149,157,178,221],"multi-input":[13],"multi-output":[14],"(MIMO)":[15],"evolution.":[16],"Inspired":[17],"by":[18,44,79,93,145],"impressive":[19],"success":[20],"deep":[22],"learning":[23,45,166,225],"(DL)":[24],"in":[25,193,231],"diverse":[26],"fields,":[27],"DL":[28],"empowered":[29],"channel":[30,89],"has":[33],"also":[34],"drawn":[35],"extensive":[36],"attention":[37,71],"address":[39],"curse":[41],"dimensionality":[43],"compressible":[46],"structure":[47,207],"high-dimensional":[49],"MIMO":[50],"channels.":[51],"However,":[52],"most":[53],"work":[55],"mainly":[56],"focus":[57],"on":[58,74,200],"extracting":[59],"continuous":[60,105],"features":[61,106],"reduce":[63],"dimension":[65],"and":[68,133,160,180,208],"much":[69],"less":[70],"is":[72,107,130,167,173,190],"paid":[73],"their":[75],"discrete":[76,98,164,223],"form":[77],"imposed":[78],"finite-rate":[80],"constraints":[81,121],"resource-starved":[83],"links.":[85],"Therefore,":[86],"we":[87],"propose":[88],"designs":[92],"interpreting":[94],"it":[95],"as":[96,175],"autoencoder.":[99],"A":[100],"practical":[101],"approach":[102],"quantizing":[104],"developed":[108],"using":[109],"concept":[111],"vector":[113,124,229],"quantization.":[114],"To":[115,184],"be":[116],"specific,":[117],"given":[118],"output":[123],"(latent":[125],"vector)":[126],"encoder":[129],"accordingly":[131],"partitioned":[132],"then":[134],"all":[135],"segments":[136],"are":[137],"quantized":[138],"over":[139],"commonly":[141],"designed":[142],"codebook":[143,181,206],"constituted":[144],"finite":[147],"collection":[148],"codewords.":[150],"In":[151],"order":[152],"jointly":[154],"optimize":[155],"parameters":[156],"neural":[158,210],"networks":[159,211],"codebook,":[162],"representation":[165,224],"adopted":[168],"where":[169],"loss":[171,195],"function":[172],"defined":[174],"sum":[177],"reconstruction":[179],"alignment":[182],"losses.":[183],"encourage":[185],"desirable":[186],"property,":[187],"regularization":[189],"further":[191],"introduced":[192],"function,":[196],"which":[197],"sheds":[198],"light":[199],"intricate":[202],"interplay":[203],"between":[204],"during":[212],"training.":[213],"The":[214],"simulation":[215],"results":[216],"show":[217],"tangible":[219],"advantages":[220],"with":[226],"segmented":[228],"quantization":[230],"designing":[232],"limited":[233],"systems.":[235]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}