{"id":"https://openalex.org/W4413978771","doi":"https://doi.org/10.1109/spawc66079.2025.11143260","title":"Dynamically Fine-Tuned Neural Compressor for FDD Massive MIMO CSI Feedback","display_name":"Dynamically Fine-Tuned Neural Compressor for FDD Massive MIMO CSI Feedback","publication_year":2025,"publication_date":"2025-07-07","ids":{"openalex":"https://openalex.org/W4413978771","doi":"https://doi.org/10.1109/spawc66079.2025.11143260"},"language":"en","primary_location":{"id":"doi:10.1109/spawc66079.2025.11143260","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spawc66079.2025.11143260","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 26th International Workshop on Signal Processing and Artificial Intelligence for Wireless Communications (SPAWC)","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/A5029511395","display_name":"Mehdi Sattari","orcid":"https://orcid.org/0000-0001-7361-8424"},"institutions":[{"id":"https://openalex.org/I66862912","display_name":"Chalmers University of Technology","ror":"https://ror.org/040wg7k59","country_code":"SE","type":"education","lineage":["https://openalex.org/I66862912"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Mehdi Sattari","raw_affiliation_strings":["Chalmers University of Technology,dept. Electrical Engineering,Gothenburg,Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chalmers University of Technology,dept. Electrical Engineering,Gothenburg,Sweden","institution_ids":["https://openalex.org/I66862912"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016883501","display_name":"Den\u0131z G\u00fcnd\u00fcz","orcid":"https://orcid.org/0000-0002-7725-395X"},"institutions":[{"id":"https://openalex.org/I4210109636","display_name":"NIHR Imperial Biomedical Research Centre","ror":"https://ror.org/01kmhx639","country_code":"GB","type":"facility","lineage":["https://openalex.org/I34931013","https://openalex.org/I4210109636"]},{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Deniz G\u00fcnd\u00fcz","raw_affiliation_strings":["Imperial College London,dept. Electrical and Electronic Engineering,London,UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Imperial College London,dept. Electrical and Electronic Engineering,London,UK","institution_ids":["https://openalex.org/I4210109636","https://openalex.org/I47508984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086726797","display_name":"Tommy Svensson","orcid":"https://orcid.org/0000-0002-2579-9002"},"institutions":[{"id":"https://openalex.org/I66862912","display_name":"Chalmers University of Technology","ror":"https://ror.org/040wg7k59","country_code":"SE","type":"education","lineage":["https://openalex.org/I66862912"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Tommy Svensson","raw_affiliation_strings":["Chalmers University of Technology,dept. Electrical Engineering,Gothenburg,Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chalmers University of Technology,dept. Electrical Engineering,Gothenburg,Sweden","institution_ids":["https://openalex.org/I66862912"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9681000113487244,"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/T10320","display_name":"Neural Networks and Applications","score":0.9681000113487244,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9621999859809875,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10323","display_name":"Analog and Mixed-Signal Circuit Design","score":0.9359999895095825,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/mimo","display_name":"MIMO","score":0.7054361701011658},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6525688171386719},{"id":"https://openalex.org/keywords/gas-compressor","display_name":"Gas compressor","score":0.535816490650177},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.49258047342300415},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18859338760375977},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15436691045761108},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.13494405150413513},{"id":"https://openalex.org/keywords/aerospace-engineering","display_name":"Aerospace engineering","score":0.13164910674095154},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.10542798042297363}],"concepts":[{"id":"https://openalex.org/C207987634","wikidata":"https://www.wikidata.org/wiki/Q176862","display_name":"MIMO","level":3,"score":0.7054361701011658},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6525688171386719},{"id":"https://openalex.org/C131097465","wikidata":"https://www.wikidata.org/wiki/Q178898","display_name":"Gas compressor","level":2,"score":0.535816490650177},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.49258047342300415},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18859338760375977},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15436691045761108},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.13494405150413513},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.13164910674095154},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.10542798042297363},{"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/spawc66079.2025.11143260","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spawc66079.2025.11143260","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 26th International Workshop on Signal Processing and Artificial Intelligence for Wireless Communications (SPAWC)","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":10,"referenced_works":["https://openalex.org/W2094655360","https://openalex.org/W2120549790","https://openalex.org/W2963145597","https://openalex.org/W3003689553","https://openalex.org/W3112756300","https://openalex.org/W3170956499","https://openalex.org/W4385574803","https://openalex.org/W4386112716","https://openalex.org/W4387010810","https://openalex.org/W4395069483"],"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/W2180065763","https://openalex.org/W2376932109","https://openalex.org/W2001405890"],"abstract_inverted_index":{"Efficient":[0],"channel":[1],"state":[2],"information":[3],"(CSI)":[4],"compression":[5],"is":[6],"essential":[7],"in":[8,38,115],"frequency":[9],"division":[10],"duplexing":[11],"(FDD)":[12],"massive":[13],"multiple-input":[14],"multiple-output":[15],"(MIMO)":[16],"systems":[17],"to":[18,36],"mitigate":[19],"excessive":[20],"feedback":[21,79],"overhead.":[22],"While":[23],"deep":[24],"learning-based":[25],"methods":[26],"achieve":[27],"superior":[28],"performance,":[29],"they":[30],"struggle":[31],"with":[32],"distribution":[33],"shifts,":[34],"leading":[35],"degradation":[37],"their":[39],"performance.":[40],"To":[41],"address":[42],"this,":[43],"we":[44,105],"propose":[45],"a":[46,63,116],"model":[47,73],"fine-tuning":[48,65,93,111],"approach":[49],"for":[50,76,126],"CSI":[51,59,102],"feedback,":[52],"dynamically":[53],"updating":[54,68],"encoder/decoder":[55],"networks":[56],"using":[57],"recent":[58],"samples.":[60],"We":[61],"adopt":[62],"full-model":[64,92,110],"scheme,":[66],"jointly":[67],"the":[69,77,84,96,109,128],"encoder":[70],"and":[71,120],"decoder":[72,86],"while":[74],"accounting":[75],"additional":[78],"overhead":[80],"imposed":[81],"by":[82],"conveying":[83],"updated":[85],"parameters.":[87],"Our":[88],"results":[89],"demonstrate":[90],"that":[91],"significantly":[94],"enhances":[95],"rate-distortion":[97],"(RD)":[98],"performance":[99],"of":[100],"neural":[101],"compression.":[103],"Furthermore,":[104],"analyze":[106],"how":[107],"often":[108],"should":[112],"be":[113],"applied":[114],"new":[117],"wireless":[118],"environment":[119],"identify":[121],"an":[122],"optimal":[123],"period":[124],"interval":[125],"achieving":[127],"best":[129],"RD":[130],"trade-off.":[131]},"counts_by_year":[],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}