{"id":"https://openalex.org/W7124451878","doi":"https://doi.org/10.23919/jcin.2025.11357496","title":"LLM4AMC: Adapting Large Language Models for Adaptive Modulation and Coding","display_name":"LLM4AMC: Adapting Large Language Models for Adaptive Modulation and Coding","publication_year":2025,"publication_date":"2025-12-01","ids":{"openalex":"https://openalex.org/W7124451878","doi":"https://doi.org/10.23919/jcin.2025.11357496"},"language":null,"primary_location":{"id":"doi:10.23919/jcin.2025.11357496","is_oa":false,"landing_page_url":"https://doi.org/10.23919/jcin.2025.11357496","pdf_url":null,"source":{"id":"https://openalex.org/S4210178728","display_name":"Journal of Communications and Information Networks","issn_l":"2096-1081","issn":["2096-1081","2509-3312"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Communications and Information Networks","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/A5123168951","display_name":"Xinyu Pan","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyu Pan","raw_affiliation_strings":["State Key Laboratory of Photonics and Communications, School of Electronics, Peking University, Beijing 100871, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Photonics and Communications, School of Electronics, Peking University, Beijing 100871, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059270457","display_name":"Boxun Liu","orcid":"https://orcid.org/0000-0002-2182-2287"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Boxun Liu","raw_affiliation_strings":["State Key Laboratory of Photonics and Communications, School of Electronics, Peking University, Beijing 100871, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Photonics and Communications, School of Electronics, Peking University, Beijing 100871, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123201267","display_name":"Xiang Cheng","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Cheng","raw_affiliation_strings":["State Key Laboratory of Photonics and Communications, School of Electronics, Peking University, Beijing 100871, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Photonics and Communications, School of Electronics, Peking University, Beijing 100871, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5123233213","display_name":"Chen Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Chen","raw_affiliation_strings":["State Key Laboratory of Photonics and Communications, School of Electronics, Peking University, Beijing 100871, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Photonics and Communications, School of Electronics, Peking University, Beijing 100871, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":{"value":1990,"currency":"USD","value_usd":1990},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.79372627,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"10","issue":"4","first_page":"352","last_page":"363"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.5950000286102295,"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":0.5950000286102295,"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/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.07680000364780426,"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/T11458","display_name":"Advanced Wireless Communication Technologies","score":0.0754999965429306,"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/link-adaptation","display_name":"Link adaptation","score":0.6510000228881836},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.6064000129699707},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5536999702453613},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5092999935150146},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.46950000524520874},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.4657999873161316},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.45249998569488525},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.4523000121116638}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7759000062942505},{"id":"https://openalex.org/C138916503","wikidata":"https://www.wikidata.org/wiki/Q2714551","display_name":"Link adaptation","level":4,"score":0.6510000228881836},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.6064000129699707},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5536999702453613},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5092999935150146},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.46950000524520874},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.4657999873161316},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.45249998569488525},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.4523000121116638},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.44190001487731934},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.4332999885082245},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3871999979019165},{"id":"https://openalex.org/C57890076","wikidata":"https://www.wikidata.org/wiki/Q4680725","display_name":"Adaptive coding","level":4,"score":0.35370001196861267},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.3366999924182892},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.3361999988555908},{"id":"https://openalex.org/C2779679103","wikidata":"https://www.wikidata.org/wiki/Q5251805","display_name":"Degradation (telecommunications)","level":2,"score":0.33000001311302185},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3181999921798706},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.30390000343322754},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.30309998989105225},{"id":"https://openalex.org/C123079801","wikidata":"https://www.wikidata.org/wiki/Q750240","display_name":"Modulation (music)","level":2,"score":0.2831000089645386},{"id":"https://openalex.org/C2778915421","wikidata":"https://www.wikidata.org/wiki/Q3643177","display_name":"Performance improvement","level":2,"score":0.2818000018596649},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.27129998803138733},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.26829999685287476},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.2558000087738037}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/jcin.2025.11357496","is_oa":false,"landing_page_url":"https://doi.org/10.23919/jcin.2025.11357496","pdf_url":null,"source":{"id":"https://openalex.org/S4210178728","display_name":"Journal of Communications and Information Networks","issn_l":"2096-1081","issn":["2096-1081","2509-3312"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Communications and Information Networks","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Adaptive":[0],"modulation":[1],"and":[2,22,58,97,134,165],"coding":[3],"(AMC)":[4],"is":[5],"a":[6,77,118,125,131],"key":[7],"technology":[8],"in":[9,55],"5G":[10],"new":[11],"radio":[12],"(NR),":[13],"enabling":[14],"dynamic":[15,65],"link":[16,163],"adaptation":[17,67],"by":[18,83],"balancing":[19],"transmission":[20],"efficiency":[21],"reliability":[23],"based":[24],"on":[25],"channel":[26,42,66,78,144,152],"conditions.":[27,153],"However,":[28],"traditional":[29],"methods":[30],"often":[31],"suffer":[32],"from":[33],"performance":[34,164],"degradation":[35],"due":[36],"to":[37,85,100,112,146],"the":[38,47,64,95,103,113,140],"aging":[39],"issues":[40],"of":[41,50,69,94,122,143,150],"quality":[43,79,145],"indicator":[44],"(CQI).":[45],"Recently,":[46],"emerging":[48],"capabilities":[49],"large":[51],"language":[52],"models":[53],"(LLMs)":[54],"contextual":[56],"understanding":[57],"temporal":[59],"modeling":[60],"naturally":[61],"align":[62],"with":[63],"requirements":[68],"AMC":[70,114],"technology.":[71],"Leveraging":[72],"pretrained":[73],"LLMs,":[74],"we":[75],"propose":[76],"prediction":[80],"method":[81,160],"empowered":[82],"LLMs":[84],"optimize":[86],"AMC,":[87],"termed":[88],"LLM4AMC.":[89],"We":[90,116],"freeze":[91],"most":[92],"parameters":[93],"LLM":[96],"fine-tune":[98],"it":[99,111],"fully":[101],"utilize":[102],"knowledge":[104],"acquired":[105],"during":[106],"pretraining":[107],"while":[108],"better":[109],"adapting":[110],"task.":[115],"design":[117],"network":[119],"architecture":[120],"composed":[121],"four":[123],"modules,":[124],"preprocessing":[126],"layer,":[127,130,137],"an":[128,135],"embedding":[129],"backbone":[132],"network,":[133],"output":[136],"effectively":[138],"capturing":[139],"time-varying":[141],"characteristics":[142],"achieve":[147],"accurate":[148],"predictions":[149],"future":[151],"Simulation":[154],"experiments":[155],"demonstrate":[156],"that":[157],"our":[158],"proposed":[159],"significantly":[161],"improves":[162],"exhibits":[166],"potential":[167],"for":[168],"practical":[169],"deployment.":[170]},"counts_by_year":[],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2026-01-17T00:00:00"}