{"id":"https://openalex.org/W7214913006","doi":"https://doi.org/10.48550/arxiv.2609.35906","title":"Dual-Branch Vector-Quantization-Aided Satellite Digital Semantic Communication with Index Compression for High-Resolution RSI Over AFDM","display_name":"Dual-Branch Vector-Quantization-Aided Satellite Digital Semantic Communication with Index Compression for High-Resolution RSI Over AFDM","publication_year":2026,"publication_date":"2026-09-28","ids":{"openalex":"https://openalex.org/W7214913006","doi":"https://doi.org/10.48550/arxiv.2609.35906"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2609.35906","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2609.35906","pdf_url":"https://arxiv.org/pdf/2609.35906","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2609.35906","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5123855506","display_name":"Jianqiao Chen","orcid":"https://orcid.org/0000-0003-3491-9237","observed_orcids":["https://orcid.org/0000-0003-3491-9237"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Jianqiao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008846998","display_name":"Nan Ma","orcid":"https://orcid.org/0000-0002-2302-7148","observed_orcids":["https://orcid.org/0000-0002-2302-7148"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ma, Nan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5153598029","display_name":"Xiaodong Xu","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu, Xiaodong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126327391","display_name":"Tingting Zhu","orcid":"https://orcid.org/0000-0003-2901-8901","observed_orcids":["https://orcid.org/0000-0003-2901-8901"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhu, Tingting","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139858559","display_name":"Huishi Song","orcid":"https://orcid.org/0009-0000-5796-9435","observed_orcids":["https://orcid.org/0009-0000-5796-9435"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Song, Huishi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5153677537","display_name":"Chen Dong","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dong, Chen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023884578","display_name":"Rui Meng","orcid":"https://orcid.org/0000-0003-0486-1409","observed_orcids":["https://orcid.org/0000-0003-0486-1409"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Meng, Rui","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5153576680","display_name":"Wenkai Liu","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Wenkai","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101958002","display_name":"Ke Peng","orcid":"https://orcid.org/0000-0001-9733-3239","observed_orcids":["https://orcid.org/0000-0001-9733-3239"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Peng, Ke","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5100405787","display_name":"Ping Zhang","orcid":"https://orcid.org/0000-0002-0269-104X","observed_orcids":["https://orcid.org/0000-0002-0269-104X","https://orcid.org/0000-0002-1485-5849","https://orcid.org/0009-0004-9763-599X"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Ping","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9702000021934509,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9702000021934509,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10741","display_name":"Video Coding and Compression Technologies","score":0.010599999688565731,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12042","display_name":"Satellite Communication Systems","score":0.007400000002235174,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/vector-quantization","display_name":"vector quantization","score":0.9150000214576721},{"id":"https://openalex.org/keywords/index-compression","display_name":"index compression","score":0.8220000267028809},{"id":"https://openalex.org/keywords/affine-frequency-division-multiplexing","display_name":"affine frequency division multiplexing","score":0.949999988079071},{"id":"https://openalex.org/keywords/high-resolution-imagery","display_name":"high-resolution imagery","score":0.4009999930858612},{"id":"https://openalex.org/keywords/non-terrestrial-networks","display_name":"non-terrestrial networks","score":0.6809999942779541}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.819599986076355},{"id":"https://openalex.org/C161765866","wikidata":"https://www.wikidata.org/wiki/Q184748","display_name":"Codec","level":2,"score":0.5268999934196472},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5192999839782715},{"id":"https://openalex.org/C127759330","wikidata":"https://www.wikidata.org/wiki/Q637416","display_name":"Codebook","level":2,"score":0.46619999408721924},{"id":"https://openalex.org/C19275194","wikidata":"https://www.wikidata.org/wiki/Q222903","display_name":"Multiplexing","level":2,"score":0.4494999945163727},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4140999913215637},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4068000018596649},{"id":"https://openalex.org/C57890076","wikidata":"https://www.wikidata.org/wiki/Q4680725","display_name":"Adaptive coding","level":4,"score":0.40619999170303345},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38769999146461487},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.38440001010894775},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.35120001435279846},{"id":"https://openalex.org/C2776848632","wikidata":"https://www.wikidata.org/wiki/Q853463","display_name":"Clipping (morphology)","level":2,"score":0.35019999742507935},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.34369999170303345},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.336899995803833},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.33059999346733093},{"id":"https://openalex.org/C121308736","wikidata":"https://www.wikidata.org/wiki/Q149918","display_name":"Communications satellite","level":3,"score":0.3109000027179718},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.3109000027179718},{"id":"https://openalex.org/C520681616","wikidata":"https://www.wikidata.org/wiki/Q202255","display_name":"Digital television","level":2,"score":0.296999990940094},{"id":"https://openalex.org/C199833920","wikidata":"https://www.wikidata.org/wiki/Q612536","display_name":"Vector quantization","level":2,"score":0.28760001063346863},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2827000021934509},{"id":"https://openalex.org/C169805256","wikidata":"https://www.wikidata.org/wiki/Q1361381","display_name":"Transform coding","level":4,"score":0.2825999855995178},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.28119999170303345},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.27149999141693115},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.27070000767707825},{"id":"https://openalex.org/C173512123","wikidata":"https://www.wikidata.org/wiki/Q5978010","display_name":"Statistical time division multiplexing","level":3,"score":0.2678999900817871},{"id":"https://openalex.org/C34339180","wikidata":"https://www.wikidata.org/wiki/Q1325924","display_name":"Constant bitrate","level":4,"score":0.26669999957084656},{"id":"https://openalex.org/C57667952","wikidata":"https://www.wikidata.org/wiki/Q1154443","display_name":"Variable bitrate","level":3,"score":0.2653000056743622},{"id":"https://openalex.org/C79880414","wikidata":"https://www.wikidata.org/wiki/Q5275338","display_name":"Differential coding","level":3,"score":0.2639000117778778},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2614000141620636},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.26010000705718994},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.2590000033378601},{"id":"https://openalex.org/C160987145","wikidata":"https://www.wikidata.org/wiki/Q13043846","display_name":"Pulse-code modulation","level":3,"score":0.25870001316070557},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.2515999972820282},{"id":"https://openalex.org/C40409654","wikidata":"https://www.wikidata.org/wiki/Q375889","display_name":"Orthogonal frequency-division multiplexing","level":3,"score":0.25130000710487366},{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.25130000710487366}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2609.35906","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2609.35906","pdf_url":"https://arxiv.org/pdf/2609.35906","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2609.35906","doi":"https://doi.org/10.48550/arxiv.2609.35906","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2609.35906","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2609.35906","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2609.35906","pdf_url":"https://arxiv.org/pdf/2609.35906","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.5378999710083008,"display_name":"Industry, innovation and infrastructure"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7214913006.pdf","grobid_xml":"https://content.openalex.org/works/W7214913006.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7168264000","https://openalex.org/W7130326967","https://openalex.org/W7154430327","https://openalex.org/W4410227829","https://openalex.org/W7084147056","https://openalex.org/W2244158503","https://openalex.org/W4415626626","https://openalex.org/W6910692080","https://openalex.org/W4414956244","https://openalex.org/W4408324402"],"abstract_inverted_index":{"High-resolution":[0],"remote":[1],"sensing":[2],"imagery":[3],"(RSI)":[4],"transmission":[5,43],"is":[6,66,92],"constrained":[7],"by":[8],"satellite-ground":[9],"bandwidth":[10,51],"and":[11,23,79,105,113,142,165,207],"channel":[12,77,166,174],"impairments,":[13],"yet":[14],"existing":[15],"methods":[16],"struggle":[17],"to":[18,68,135,149,212],"simultaneously":[19],"achieve":[20],"extreme":[21],"compression":[22,221],"robust":[24],"transmission.":[25],"To":[26],"address":[27],"this,":[28],"we":[29,126],"propose":[30],"a":[31,63,128],"dual-branch":[32,64,97],"vector-quantization":[33],"aided":[34],"satellite":[35],"digital":[36],"semantic":[37,72,119,178],"communication":[38],"(DVQ-SDSC)":[39],"framework":[40,65],"for":[41],"RSI":[42],"over":[44,182],"affine":[45],"frequency":[46],"division":[47],"multiplexing":[48],"(AFDM),":[49],"whose":[50],"savings":[52],"arise":[53],"from":[54,86,176],"two":[55],"interrelated":[56],"aspects.":[57],"First,":[58],"at":[59,122,197,222],"the":[60,90,102,106,118,123,158,177,193,198,213],"source-coding":[61],"level,":[62,125],"developed":[67],"unify":[69],"deep":[70],"joint":[71],"coding,":[73],"VQ-aided":[74],"index":[75,137,159,190,220],"transmission,":[76],"estimation":[78],"adaption":[80],"in":[81],"an":[82,95],"end-to-end":[83],"architecture;":[84],"departing":[85],"symmetric":[87],"encoder":[88],"designs,":[89],"codec":[91,215],"recast":[93],"as":[94],"asymmetric":[96],"architecture":[98],"that":[99,186,208],"separately":[100],"processes":[101],"high-frequency":[103],"residuals":[104,152],"low-frequency":[107],"structural":[108],"semantics,":[109],"with":[110,139,188],"gated":[111],"fusion":[112],"channel-adaptive":[114],"reconstruction":[115],"jointly":[116],"restoring":[117],"content.":[120],"Second,":[121],"index-coding":[124],"develop":[127],"principal":[129],"component":[130],"analysis":[131],"(PCA)-aided":[132],"codebook":[133],"reordering":[134],"align":[136],"topology":[138],"latent":[140],"correlations,":[141],"devise":[143],"group":[144],"differential":[145],"pulse-code":[146],"modulation":[147],"(G-DPCM)":[148],"encode":[150],"prediction":[151],"rather":[153],"than":[154],"absolute":[155],"indices,":[156],"lowering":[157],"bitrate":[160],"while":[161],"locally":[162],"isolating":[163],"clipping":[164],"errors.":[167],"A":[168],"two-stage":[169],"training":[170],"strategy":[171],"further":[172],"decouples":[173],"impairments":[175],"codec.":[179],"FAIR1M":[180],"experiments":[181],"3GPP":[183],"NTN-TDL-D":[184],"demonstrate":[185],"DVQ-SDSC":[187],"G-DPCM":[189,209],"coding":[191],"outperforms":[192],"conventional":[194],"JPEG-LDPC":[195],"scheme":[196],"base":[199],"rate":[200],"of":[201],"0.0625":[202],"bits":[203],"per":[204],"pixel":[205],"(BPP),":[206],"applies":[210],"directly":[211],"trained":[214],"without":[216],"retraining,":[217],"yielding":[218],"additional":[219],"no":[223],"extra":[224],"cost.":[225]},"counts_by_year":[],"updated_date":"2026-10-28T10:33:24.094632","created_date":"2026-10-01T00:00:00"}
