{"id":"https://openalex.org/W4414538902","doi":"https://doi.org/10.1109/icc52391.2025.11162089","title":"DD-JSCC: Dynamic Deep Joint Source-Channel Coding for Semantic Communications","display_name":"DD-JSCC: Dynamic Deep Joint Source-Channel Coding for Semantic Communications","publication_year":2025,"publication_date":"2025-06-08","ids":{"openalex":"https://openalex.org/W4414538902","doi":"https://doi.org/10.1109/icc52391.2025.11162089"},"language":"en","primary_location":{"id":"doi:10.1109/icc52391.2025.11162089","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc52391.2025.11162089","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2025 - IEEE International Conference on Communications","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/A5046015188","display_name":"Avi Deb Raha","orcid":"https://orcid.org/0000-0003-0240-1214"},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Avi Deb Raha","raw_affiliation_strings":["Kyung Hee University,Department of Computer Science and Engineering,Yongin-si,Republic of Korea,17104"],"affiliations":[{"raw_affiliation_string":"Kyung Hee University,Department of Computer Science and Engineering,Yongin-si,Republic of Korea,17104","institution_ids":["https://openalex.org/I35928602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021511574","display_name":"Apurba Adhikary","orcid":"https://orcid.org/0000-0003-3970-1878"},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Apurba Adhikary","raw_affiliation_strings":["Kyung Hee University,Department of Computer Science and Engineering,Yongin-si,Republic of Korea,17104"],"affiliations":[{"raw_affiliation_string":"Kyung Hee University,Department of Computer Science and Engineering,Yongin-si,Republic of Korea,17104","institution_ids":["https://openalex.org/I35928602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088612895","display_name":"Mrityunjoy Gain","orcid":"https://orcid.org/0000-0002-1771-0100"},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Mrityunjoy Gain","raw_affiliation_strings":["Kyung Hee University,Department of Artificial Intelligence,Yongin-si,Republic of Korea,17104"],"affiliations":[{"raw_affiliation_string":"Kyung Hee University,Department of Artificial Intelligence,Yongin-si,Republic of Korea,17104","institution_ids":["https://openalex.org/I35928602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037102595","display_name":"Y M Park","orcid":null},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yumin Park","raw_affiliation_strings":["Kyung Hee University,Department of Computer Science and Engineering,Yongin-si,Republic of Korea,17104"],"affiliations":[{"raw_affiliation_string":"Kyung Hee University,Department of Computer Science and Engineering,Yongin-si,Republic of Korea,17104","institution_ids":["https://openalex.org/I35928602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024108653","display_name":"Walid Saad","orcid":"https://orcid.org/0000-0003-2247-2458"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Walid Saad","raw_affiliation_strings":["Virginia Tech,Department of Electrical and Computer Engineering,Arlington,VA,USA,22203"],"affiliations":[{"raw_affiliation_string":"Virginia Tech,Department of Electrical and Computer Engineering,Arlington,VA,USA,22203","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034052371","display_name":"Choong Seon Hong","orcid":"https://orcid.org/0000-0003-3484-7333"},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Choong Seon Hong","raw_affiliation_strings":["Kyung Hee University,Department of Computer Science and Engineering,Yongin-si,Republic of Korea,17104"],"affiliations":[{"raw_affiliation_string":"Kyung Hee University,Department of Computer Science and Engineering,Yongin-si,Republic of Korea,17104","institution_ids":["https://openalex.org/I35928602"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5046015188"],"corresponding_institution_ids":["https://openalex.org/I35928602"],"apc_list":null,"apc_paid":null,"fwci":1.2181,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.83834208,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"3754","last_page":"3759"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9937000274658203,"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":0.9937000274658203,"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/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9514999985694885,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9302999973297119,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5845000147819519},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.46209999918937683},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4530999958515167},{"id":"https://openalex.org/keywords/transmitter","display_name":"Transmitter","score":0.4481000006198883},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.4453999996185303},{"id":"https://openalex.org/keywords/linear-network-coding","display_name":"Linear network coding","score":0.4318000078201294},{"id":"https://openalex.org/keywords/adaptability","display_name":"Adaptability","score":0.41429999470710754},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.41040000319480896},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.3847000002861023},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.3402000069618225}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8069000244140625},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5845000147819519},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.46209999918937683},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4571000039577484},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4530999958515167},{"id":"https://openalex.org/C47798520","wikidata":"https://www.wikidata.org/wiki/Q190157","display_name":"Transmitter","level":3,"score":0.4481000006198883},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.4453999996185303},{"id":"https://openalex.org/C138293262","wikidata":"https://www.wikidata.org/wiki/Q1089578","display_name":"Linear network coding","level":3,"score":0.4318000078201294},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.41429999470710754},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.41040000319480896},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.3847000002861023},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.37630000710487366},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.3555999994277954},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.3402000069618225},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.32249999046325684},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3197000026702881},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.3165000081062317},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.30570000410079956},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.3052999973297119},{"id":"https://openalex.org/C65422117","wikidata":"https://www.wikidata.org/wiki/Q358527","display_name":"Transmitter power output","level":4,"score":0.29980000853538513},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.29649999737739563},{"id":"https://openalex.org/C137246740","wikidata":"https://www.wikidata.org/wiki/Q583970","display_name":"Spectral efficiency","level":3,"score":0.29249998927116394},{"id":"https://openalex.org/C557945733","wikidata":"https://www.wikidata.org/wiki/Q389772","display_name":"Data transmission","level":2,"score":0.29100000858306885},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.287200003862381},{"id":"https://openalex.org/C135554599","wikidata":"https://www.wikidata.org/wiki/Q3682206","display_name":"Multiple description coding","level":3,"score":0.2791999876499176},{"id":"https://openalex.org/C19247436","wikidata":"https://www.wikidata.org/wiki/Q192727","display_name":"Physical layer","level":3,"score":0.26919999718666077},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2685999870300293},{"id":"https://openalex.org/C2778915421","wikidata":"https://www.wikidata.org/wiki/Q3643177","display_name":"Performance improvement","level":2,"score":0.26820001006126404},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.2669999897480011},{"id":"https://openalex.org/C57890076","wikidata":"https://www.wikidata.org/wiki/Q4680725","display_name":"Adaptive coding","level":4,"score":0.2660999894142151},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.2651999890804291},{"id":"https://openalex.org/C56685638","wikidata":"https://www.wikidata.org/wiki/Q2300474","display_name":"Power control","level":3,"score":0.25690001249313354},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2515000104904175},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.25130000710487366},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.25119999051094055}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc52391.2025.11162089","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc52391.2025.11162089","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2025 - IEEE International Conference on Communications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4979041730","display_name":null,"funder_award_id":"RS-202300207816,RS-2024-00352423","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2051888076","https://openalex.org/W2741137940","https://openalex.org/W2946889564","https://openalex.org/W2963174256","https://openalex.org/W3166791908","https://openalex.org/W4315630799","https://openalex.org/W4321488711","https://openalex.org/W4402156124","https://openalex.org/W4409311204"],"related_works":[],"abstract_inverted_index":{"Deep":[0,59],"Joint":[1,60],"Source-Channel":[2,61],"Coding":[3,62],"(Deep-JSCC)":[4],"has":[5],"emerged":[6],"as":[7],"a":[8,66,109],"promising":[9],"semantic":[10,72,148],"communication":[11,73],"approach":[12],"for":[13,63,71,82,179],"wireless":[14],"image":[15,145],"transmission":[16],"by":[17,169],"jointly":[18],"optimizing":[19],"source":[20],"and":[21,48,93,100,128,187],"channel":[22,49,102],"coding":[23],"using":[24],"deep":[25],"learning":[26],"techniques.":[27],"However,":[28],"traditional":[29,76],"Deep-JSCC":[30,77,163],"architectures":[31],"employ":[32],"fixed":[33,162],"encoder-decoder":[34,68],"structures,":[35],"limiting":[36],"their":[37],"adaptability":[38,105],"to":[39,152],"varying":[40,134],"device":[41],"capabilities,":[42,95],"real-time":[43,89],"performance":[44,143],"optimization,":[45],"power":[46,96],"constraints":[47],"conditions.":[50,103],"To":[51],"address":[52],"these":[53],"limitations,":[54],"we":[55],"propose":[56],"DD-JSCC:":[57],"Dynamic":[58],"Semantic":[64],"Communications,":[65],"novel":[67],"architecture":[69],"designed":[70],"systems.":[74],"Unlike":[75],"models,":[78,182],"DD-JSCC":[79],"is":[80,106],"flexible":[81],"dynamically":[83],"adjusting":[84],"its":[85],"layer":[86,111],"structures":[87],"in":[88,147,156],"based":[90],"on":[91],"transmitter":[92],"receiver":[94],"constraints,":[97],"compression":[98],"ratios,":[99],"current":[101],"This":[104],"achieved":[107],"through":[108],"hierarchical":[110],"activation":[112],"mechanism":[113],"combined":[114],"with":[115],"implicit":[116],"regularization":[117],"via":[118],"sequential":[119],"randomized":[120],"training,":[121],"effectively":[122],"reducing":[123,166,184],"combinatorial":[124],"complexity,":[125],"preventing":[126],"overfitting,":[127],"ensuring":[129],"consistent":[130],"feature":[131],"representations":[132],"across":[133],"configurations.":[135],"Simulation":[136],"results":[137],"demonstrate":[138],"that":[139],"DDJSCC":[140],"enhances":[141],"the":[142,177],"of":[144],"reconstruction":[146],"communications,":[149],"achieving":[150],"up":[151],"2":[153],"dB":[154],"improvement":[155],"Peak":[157],"Signal-to-Noise":[158],"Ratio":[159],"(PSNR)":[160],"over":[161,170],"architectures,":[164],"while":[165],"training":[167,185],"costs":[168],"40%.":[171],"The":[172],"proposed":[173],"unified":[174],"framework":[175],"eliminates":[176],"need":[178],"multiple":[180],"specialized":[181],"significantly":[183],"complexity":[186],"deployment":[188],"overhead.":[189]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}