{"id":"https://openalex.org/W4410342810","doi":"https://doi.org/10.1109/ncc63735.2025.10983840","title":"Study on Downlink CSI Compression: Are Neural Networks the Only Solution?","display_name":"Study on Downlink CSI Compression: Are Neural Networks the Only Solution?","publication_year":2025,"publication_date":"2025-03-06","ids":{"openalex":"https://openalex.org/W4410342810","doi":"https://doi.org/10.1109/ncc63735.2025.10983840"},"language":"en","primary_location":{"id":"doi:10.1109/ncc63735.2025.10983840","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ncc63735.2025.10983840","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 National Conference on Communications (NCC)","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/A5117535492","display_name":"K. Sai Praneeth","orcid":null},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"facility","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"K. Sai Praneeth","raw_affiliation_strings":["Indian Institute of Technology Madras,Department of Electrical Engineering,Chennai,India,600036"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Madras,Department of Electrical Engineering,Chennai,India,600036","institution_ids":["https://openalex.org/I24676775"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009689137","display_name":"Anil Kumar Yerrapragada","orcid":"https://orcid.org/0000-0001-7131-5286"},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"facility","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Anil Kumar Yerrapragada","raw_affiliation_strings":["Indian Institute of Technology Madras,Department of Electrical Engineering,Chennai,India,600036"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Madras,Department of Electrical Engineering,Chennai,India,600036","institution_ids":["https://openalex.org/I24676775"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5117535493","display_name":"Achyuth Sagireddi","orcid":null},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"facility","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Achyuth Sagireddi","raw_affiliation_strings":["Indian Institute of Technology Madras,Department of Electrical Engineering,Chennai,India,600036"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Madras,Department of Electrical Engineering,Chennai,India,600036","institution_ids":["https://openalex.org/I24676775"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063714265","display_name":"Sai Prasad","orcid":null},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"facility","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sai Prasad","raw_affiliation_strings":["Indian Institute of Technology Madras,Department of Electrical Engineering,Chennai,India,600036"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Madras,Department of Electrical Engineering,Chennai,India,600036","institution_ids":["https://openalex.org/I24676775"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075290390","display_name":"Radha Krishna Ganti","orcid":"https://orcid.org/0000-0002-5211-5657"},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"facility","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Radha Krishna Ganti","raw_affiliation_strings":["Indian Institute of Technology Madras,Department of Electrical Engineering,Chennai,India,600036"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Madras,Department of Electrical Engineering,Chennai,India,600036","institution_ids":["https://openalex.org/I24676775"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5117535492"],"corresponding_institution_ids":["https://openalex.org/I24676775"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0520129,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9987999796867371,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9987999796867371,"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"}},{"id":"https://openalex.org/T11321","display_name":"Error Correcting Code Techniques","score":0.9958999752998352,"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"}},{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9952999949455261,"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/telecommunications-link","display_name":"Telecommunications link","score":0.6906648278236389},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6692672967910767},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.5344343185424805},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5217272043228149},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.48994937539100647},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2799838185310364},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2681649625301361},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.07150307297706604}],"concepts":[{"id":"https://openalex.org/C138660444","wikidata":"https://www.wikidata.org/wiki/Q5607897","display_name":"Telecommunications link","level":2,"score":0.6906648278236389},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6692672967910767},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.5344343185424805},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5217272043228149},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.48994937539100647},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2799838185310364},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2681649625301361},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.07150307297706604},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ncc63735.2025.10983840","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ncc63735.2025.10983840","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 National Conference on Communications (NCC)","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":15,"referenced_works":["https://openalex.org/W2194775991","https://openalex.org/W2953889685","https://openalex.org/W2963145597","https://openalex.org/W2992306119","https://openalex.org/W3037818400","https://openalex.org/W3075999494","https://openalex.org/W3112756300","https://openalex.org/W3161158047","https://openalex.org/W3168839105","https://openalex.org/W3176353501","https://openalex.org/W3180437121","https://openalex.org/W3182873919","https://openalex.org/W3199506096","https://openalex.org/W4224950775","https://openalex.org/W4389233088"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2548963335","https://openalex.org/W2159941915","https://openalex.org/W1995129237","https://openalex.org/W4388081250","https://openalex.org/W2909457694","https://openalex.org/W2612632602","https://openalex.org/W2321805087"],"abstract_inverted_index":{"Massive":[0],"Multi":[1,3],"Input":[2],"Output":[4],"(MIMO)":[5],"systems":[6],"enable":[7],"higher":[8,24],"data":[9,26],"rates":[10,27],"in":[11],"the":[12,50,59,71,82,88,91,95,113,116,125,130,156,160,185],"downlink":[13],"(DL)":[14],"with":[15,81],"spatial":[16,34],"multiplexing":[17,35],"achieved":[18,29],"by":[19,30,66],"forming":[20],"narrow":[21],"beams.":[22],"The":[23],"DL":[25,44,60],"are":[28],"effective":[31],"implementation":[32],"of":[33,43,84,90,132,138,155,159],"and":[36,73,87,118,151,179],"beamforming":[37],"which":[38,79],"is":[39],"subject":[40],"to":[41,63,70,141,201],"availability":[42],"channel":[45,149],"state":[46],"information":[47],"(CSI)":[48],"at":[49,112,124],"base":[51],"station.":[52],"For":[53],"Frequency":[54],"Division":[55],"Duplexing":[56],"(FDD)":[57],"systems,":[58],"CSI":[61,117,194],"has":[62,135],"be":[64],"transmitted":[65],"User":[67],"Equipment":[68],"(UE)":[69],"gNB":[72,126],"it":[74],"constitutes":[75],"a":[76,119,136,167],"significant":[77],"overhead":[78,96],"scales":[80],"number":[83,137],"transmitter":[85],"antennas":[86],"granularity":[89],"CSI.":[92],"To":[93],"address":[94],"issue,":[97],"AI/ML":[98,133],"methods":[99,134],"using":[100],"auto":[101],"encoders":[102],"have":[103],"been":[104],"investigated,":[105],"where":[106],"an":[107],"encoder":[108],"neural":[109,121,205],"network":[110,122],"model":[111,123,143,146],"UE":[114],"compresses":[115],"decoder":[120],"reconstructs":[127],"it.":[128],"However,":[129],"use":[131],"challenges":[139],"related":[140],"(1)":[142],"complexity,":[144],"(2)":[145],"generalization":[147],"across":[148],"scenarios":[150],"(3)":[152],"inter-vendor":[153],"compatibility":[154],"two":[157],"sides":[158],"model.":[161],"In":[162],"this":[163],"work,":[164],"we":[165],"investigate":[166],"more":[168],"traditional":[169],"dimensionality":[170],"reduction":[171],"method":[172],"that":[173,191],"uses":[174],"Principal":[175],"Component":[176],"Analysis":[177],"(PCA)":[178],"therefore":[180],"does":[181],"not":[182],"suffer":[183],"from":[184],"above":[186],"challenges.":[187],"Simulation":[188],"results":[189],"show":[190],"PCA":[192],"based":[193,207],"compression":[195],"actually":[196],"achieves":[197],"comparable":[198],"reconstruction":[199],"performance":[200],"commonly":[202],"used":[203],"deep":[204],"networks":[206],"models.":[208]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
