{"id":"https://openalex.org/W7160334902","doi":"https://doi.org/10.48550/arxiv.2605.01869","title":"Evolving Token Communication with Parametric Memory Network","display_name":"Evolving Token Communication with Parametric Memory Network","publication_year":2026,"publication_date":"2026-05-03","ids":{"openalex":"https://openalex.org/W7160334902","doi":"https://doi.org/10.48550/arxiv.2605.01869"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.01869","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.01869","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.01869","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5135362065","display_name":"Weixuan Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Weixuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5135291359","display_name":"Qianqian Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Qianqian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"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":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9332000017166138,"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":0.9332000017166138,"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":0.013700000010430813,"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":0.013299999758601189,"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/security-token","display_name":"Security token","score":0.6751999855041504},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.3781999945640564},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.3450999855995178},{"id":"https://openalex.org/keywords/token-passing","display_name":"Token passing","score":0.3269999921321869},{"id":"https://openalex.org/keywords/prefix","display_name":"Prefix","score":0.3197999894618988},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.2782000005245209}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8248000144958496},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.6751999855041504},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3853999972343445},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.3781999945640564},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.3450999855995178},{"id":"https://openalex.org/C115067241","wikidata":"https://www.wikidata.org/wiki/Q1639854","display_name":"Token passing","level":3,"score":0.3269999921321869},{"id":"https://openalex.org/C141603448","wikidata":"https://www.wikidata.org/wiki/Q134830","display_name":"Prefix","level":2,"score":0.3197999894618988},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.2782000005245209},{"id":"https://openalex.org/C153207627","wikidata":"https://www.wikidata.org/wiki/Q863873","display_name":"Code word","level":3,"score":0.27810001373291016},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.275299996137619},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.27230000495910645},{"id":"https://openalex.org/C557945733","wikidata":"https://www.wikidata.org/wiki/Q389772","display_name":"Data transmission","level":2,"score":0.27000001072883606},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.26570001244544983},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.2542000114917755}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.01869","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.01869","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.01869","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.01869","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Token":[0],"communication":[1,28,39],"has":[2],"emerged":[3],"as":[4,16],"a":[5,42,67,77,115,143],"promising":[6],"framework":[7],"for":[8,71],"efficient":[9],"wireless":[10],"transmission":[11,63],"by":[12],"representing":[13],"source":[14],"data":[15],"compact":[17],"semantic":[18,23,37,57,95,109,164],"tokens.":[19,130],"However,":[20],"transmitting":[21],"full":[22,108,129],"tokens":[24,110,119],"still":[25],"incurs":[26],"considerable":[27],"overhead.":[29],"In":[30,166],"this":[31,106],"paper,":[32],"we":[33],"propose":[34],"an":[35,52,168],"evolving":[36,207],"token":[38,58,69,92,158],"system":[40,184],"with":[41,122,218],"parametric":[43,78,178],"memory":[44,79,96,179,208],"network":[45,80,102,180],"over":[46],"MIMO":[47],"fading":[48],"channels.":[49],"Specifically,":[50],"only":[51],"equal-length":[53],"prefix":[54],"of":[55,126,155],"each":[56,156],"is":[59,81,97,172],"transmitted,":[60],"which":[61,148],"reduces":[62],"cost":[64],"while":[65],"preserving":[66],"consistent":[68],"structure":[70],"receiver-side":[72],"recovery.":[73],"At":[74],"the":[75,85,90,101,123,152,161,177,182,200,205],"receiver,":[76],"introduced":[82],"to":[83,141,150,174,220],"reconstruct":[84],"missing":[86],"suffix":[87],"information":[88],"from":[89],"received":[91],"prefixes,":[93],"where":[94],"stored":[98],"implicitly":[99],"in":[100],"parameters.":[103],"To":[104],"realize":[105],"design,":[107],"are":[111,120,139],"first":[112],"organized":[113],"into":[114],"codebook,":[116],"and":[117,159,181,214],"truncated":[118],"paired":[121],"codeword":[124,153],"labels":[125],"their":[127],"corresponding":[128,162],"Based":[131],"on":[132],"these":[133],"token-label":[134],"pairs,":[135],"kNN-based":[136],"teacher":[137],"distributions":[138],"constructed":[140],"fine-tune":[142],"pretrained":[144],"GPT-2-based":[145],"recovery":[146],"module,":[147],"learns":[149],"infer":[151],"distribution":[154,194],"incomplete":[157],"recover":[160],"complete":[163],"token.":[165],"addition,":[167],"online":[169],"evolution":[170],"strategy":[171],"developed":[173],"periodically":[175],"update":[176],"entire":[183],"using":[185],"newly":[186],"observed":[187],"test":[188],"samples,":[189],"thereby":[190],"improving":[191],"adaptability":[192],"under":[193,210],"shifts.":[195],"Experimental":[196],"results":[197],"demonstrate":[198],"that":[199],"proposed":[201],"method":[202],"consistently":[203],"outperforms":[204],"existing":[206],"benchmark":[209],"different":[211],"channel":[212,215],"conditions":[213],"bandwidth":[216],"ratios,":[217],"up":[219],"1.09":[221],"dB":[222],"PSNR":[223],"improvement.":[224]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-05-06T00:00:00"}
