{"id":"https://openalex.org/W4406355773","doi":"https://doi.org/10.1109/wcsp62071.2024.10826859","title":"Explainable Machine Learning-Based Layered CSI Feedback in Massive MIMO System","display_name":"Explainable Machine Learning-Based Layered CSI Feedback in Massive MIMO System","publication_year":2024,"publication_date":"2024-10-24","ids":{"openalex":"https://openalex.org/W4406355773","doi":"https://doi.org/10.1109/wcsp62071.2024.10826859"},"language":"en","primary_location":{"id":"doi:10.1109/wcsp62071.2024.10826859","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcsp62071.2024.10826859","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 16th International Conference on Wireless Communications and Signal Processing (WCSP)","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/A5018012012","display_name":"Gang Li","orcid":"https://orcid.org/0000-0002-8573-1608"},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Gang Li","raw_affiliation_strings":["China Mobile Research Institute,Beijing,China"],"affiliations":[{"raw_affiliation_string":"China Mobile Research Institute,Beijing,China","institution_ids":["https://openalex.org/I180662265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026479275","display_name":"Shuangfeng Han","orcid":"https://orcid.org/0000-0001-7221-9739"},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuangfeng Han","raw_affiliation_strings":["China Mobile Research Institute,Beijing,China"],"affiliations":[{"raw_affiliation_string":"China Mobile Research Institute,Beijing,China","institution_ids":["https://openalex.org/I180662265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100345062","display_name":"Zhuo Chen","orcid":"https://orcid.org/0000-0001-9991-6892"},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuo Chen","raw_affiliation_strings":["China Mobile Research Institute,Beijing,China"],"affiliations":[{"raw_affiliation_string":"China Mobile Research Institute,Beijing,China","institution_ids":["https://openalex.org/I180662265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100334823","display_name":"Yupeng Li","orcid":"https://orcid.org/0000-0001-9652-3321"},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yupeng Li","raw_affiliation_strings":["China Mobile Research Institute,Beijing,China"],"affiliations":[{"raw_affiliation_string":"China Mobile Research Institute,Beijing,China","institution_ids":["https://openalex.org/I180662265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014813907","display_name":"Zirui Wen","orcid":null},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zirui Wen","raw_affiliation_strings":["China Mobile Research Institute,Beijing,China"],"affiliations":[{"raw_affiliation_string":"China Mobile Research Institute,Beijing,China","institution_ids":["https://openalex.org/I180662265"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034693737","display_name":"Qixing Wang","orcid":"https://orcid.org/0009-0000-5168-1123"},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qixing Wang","raw_affiliation_strings":["China Mobile Research Institute,Beijing,China"],"affiliations":[{"raw_affiliation_string":"China Mobile Research Institute,Beijing,China","institution_ids":["https://openalex.org/I180662265"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5018012012"],"corresponding_institution_ids":["https://openalex.org/I180662265"],"apc_list":null,"apc_paid":null,"fwci":0.3353,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.69736127,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1462","last_page":"1467"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9139000177383423,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9139000177383423,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.6752058267593384},{"id":"https://openalex.org/keywords/mimo","display_name":"MIMO","score":0.6436249017715454},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.363427996635437},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.13690248131752014}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6752058267593384},{"id":"https://openalex.org/C207987634","wikidata":"https://www.wikidata.org/wiki/Q176862","display_name":"MIMO","level":3,"score":0.6436249017715454},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.363427996635437},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.13690248131752014},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wcsp62071.2024.10826859","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcsp62071.2024.10826859","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 16th International Conference on Wireless Communications and Signal Processing (WCSP)","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":10,"referenced_works":["https://openalex.org/W2023535408","https://openalex.org/W2963145597","https://openalex.org/W3003689553","https://openalex.org/W3096337450","https://openalex.org/W3161158047","https://openalex.org/W3199506096","https://openalex.org/W3203258883","https://openalex.org/W4221143069","https://openalex.org/W4312050602","https://openalex.org/W6810966997"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"In":[0],"massive":[1],"MIMO":[2],"system,":[3],"it":[4],"is":[5,35,40,61,194],"important":[6],"for":[7,18,44,68,152,174],"the":[8,32,53,66,92,112,161,165,175,208],"base":[9],"station":[10],"(BS)":[11],"to":[12,20,63,135,196],"obtain":[13],"channel":[14],"state":[15],"information":[16],"(CSI)":[17],"precoding":[19],"improve":[21],"beamforming":[22],"gain":[23,85],"in":[24,86,133],"frequency":[25],"division":[26],"duplexing":[27],"(FDD)":[28],"systems.":[29],"One":[30],"of":[31,164],"biggest":[33],"challenges":[34],"that":[36,74,160,207],"CSI":[37,69,79,87,94,138,155,167,176,192,209],"feedback":[38,80,88,95,113,139,168,210],"overhead":[39,89],"remarkably":[41],"huge":[42],"especially":[43,216],"high":[45],"rank":[46,55],"number":[47],"and":[48,103,110,130,147,188,203],"meanwhile":[49],"significantly":[50],"fluctuates":[51],"with":[52],"varying":[54],"number.":[56],"The":[57],"uplink(UL)":[58],"resources":[59],"allocation":[60],"hard":[62],"match":[64],"accurately":[65],"need":[67],"feedback.":[70,156],"Recent":[71],"studies":[72],"show":[73,159,206],"machine":[75],"learning":[76],"(ML)":[77],"based":[78,154],"has":[81],"demonstrated":[82],"impressive":[83],"performance":[84],"reduction.":[90],"However,":[91],"compressed":[93,166],"bits":[96,114,169],"by":[97,119,125],"ML":[98,153],"models":[99],"are":[100],"not":[101,105],"explainable":[102],"can":[104,212],"represent":[106],"any":[107],"physical":[108],"meaning,":[109],"thus":[111],"can't":[115],"be":[116,213],"treated":[117],"dif-ferently":[118],"discarding":[120],"insignificant":[121],"beam":[122],"coefficiencies.":[123],"Inspired":[124],"scalable":[126],"video":[127],"coding":[128,189],"(SVC)":[129],"semantic":[131],"communication,":[132],"order":[134],"generate":[136],"layered":[137],"bits,":[140],"we":[141],"propose":[142],"a":[143],"segment-level":[144],"loss":[145],"design":[146],"an":[148],"iterated":[149],"training":[150],"strategy":[151],"Simulation":[157],"results":[158,205],"different":[162],"segments":[163,193,200],"demonstrate":[170],"distinct":[171],"importance":[172],"weight":[173],"recovery":[177],"accuracy,":[178],"which":[179],"brings":[180],"great":[181],"transmission":[182],"efficiency":[183],"improvement.":[184],"Moreover,":[185],"adaptive":[186],"modulation":[187],"(AMC)":[190],"enabled":[191],"proposed":[195],"carry":[197],"as":[198,201],"more":[199],"possible":[202],"simulation":[204],"accuracy":[211],"improved":[214],"greatly":[215],"under":[217],"relatively":[218],"good":[219],"SNR.":[220]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-19T08:26:33.389920","created_date":"2025-10-10T00:00:00"}
