{"id":"https://openalex.org/W4417002802","doi":"https://doi.org/10.1109/jsac.2025.3640593","title":"Low-Latency Versus High-Precision: LAM-Based Cross-Modal Semantic Communication for Emergency Response","display_name":"Low-Latency Versus High-Precision: LAM-Based Cross-Modal Semantic Communication for Emergency Response","publication_year":2025,"publication_date":"2025-12-04","ids":{"openalex":"https://openalex.org/W4417002802","doi":"https://doi.org/10.1109/jsac.2025.3640593"},"language":null,"primary_location":{"id":"doi:10.1109/jsac.2025.3640593","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsac.2025.3640593","pdf_url":null,"source":{"id":"https://openalex.org/S90422530","display_name":"IEEE Journal on Selected Areas in Communications","issn_l":"0733-8716","issn":["0733-8716","1558-0008"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal on Selected Areas in Communications","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/A5100672246","display_name":"Yanan Chen","orcid":"https://orcid.org/0009-0009-7045-7923"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yanan Chen","raw_affiliation_strings":["Key Laboratory of Broadband Wireless Communication and Sensor Network Technology (Ministry of Education), Nanjing University of Posts and Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Broadband Wireless Communication and Sensor Network Technology (Ministry of Education), Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065647746","display_name":"Dan Wu","orcid":"https://orcid.org/0000-0002-2722-8676"},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dan Wu","raw_affiliation_strings":["College of Communications Engineering, Army Engineering University of PLA, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Communications Engineering, Army Engineering University of PLA, Nanjing, China","institution_ids":["https://openalex.org/I4210163363"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020816945","display_name":"Shouxiang Ni","orcid":"https://orcid.org/0009-0006-9416-0102"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shouxiang Ni","raw_affiliation_strings":["Key Laboratory of Broadband Wireless Communication and Sensor Network Technology (Ministry of Education), Nanjing University of Posts and Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Broadband Wireless Communication and Sensor Network Technology (Ministry of Education), Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003201141","display_name":"Liang Zhou","orcid":"https://orcid.org/0000-0002-5099-4870"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Zhou","raw_affiliation_strings":["Key Laboratory of Broadband Wireless Communication and Sensor Network Technology (Ministry of Education), Nanjing University of Posts and Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Broadband Wireless Communication and Sensor Network Technology (Ministry of Education), Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100672246"],"corresponding_institution_ids":["https://openalex.org/I41198531"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.2014495,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"44","issue":null,"first_page":"2288","last_page":"2301"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.41179999709129333,"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":0.41179999709129333,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.09380000084638596,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.08250000327825546,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.48649999499320984},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.4700999855995178},{"id":"https://openalex.org/keywords/semantic-computing","display_name":"Semantic computing","score":0.4465999901294708},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.43939998745918274},{"id":"https://openalex.org/keywords/semantic-compression","display_name":"Semantic compression","score":0.43880000710487366},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.42419999837875366},{"id":"https://openalex.org/keywords/semantic-mapping","display_name":"Semantic mapping","score":0.42160001397132874},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4171999990940094},{"id":"https://openalex.org/keywords/semantic-feature","display_name":"Semantic feature","score":0.415800005197525}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8962000012397766},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.48649999499320984},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.4700999855995178},{"id":"https://openalex.org/C511149849","wikidata":"https://www.wikidata.org/wiki/Q7449051","display_name":"Semantic computing","level":3,"score":0.4465999901294708},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.43939998745918274},{"id":"https://openalex.org/C202708506","wikidata":"https://www.wikidata.org/wiki/Q7449050","display_name":"Semantic compression","level":5,"score":0.43880000710487366},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.427700012922287},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.42419999837875366},{"id":"https://openalex.org/C2775955345","wikidata":"https://www.wikidata.org/wiki/Q7449071","display_name":"Semantic mapping","level":2,"score":0.42160001397132874},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4171999990940094},{"id":"https://openalex.org/C2781122975","wikidata":"https://www.wikidata.org/wiki/Q16928266","display_name":"Semantic feature","level":2,"score":0.415800005197525},{"id":"https://openalex.org/C46637626","wikidata":"https://www.wikidata.org/wiki/Q6693015","display_name":"Low latency (capital markets)","level":2,"score":0.40549999475479126},{"id":"https://openalex.org/C110903229","wikidata":"https://www.wikidata.org/wiki/Q7449064","display_name":"Semantic integration","level":4,"score":0.349700003862381},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3481000065803528},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.33169999718666077},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.3257000148296356},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.31949999928474426},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.30070000886917114},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2969000041484833},{"id":"https://openalex.org/C6881194","wikidata":"https://www.wikidata.org/wiki/Q7449091","display_name":"Semantic technology","level":4,"score":0.2946000099182129},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.2838999927043915},{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.28189998865127563},{"id":"https://openalex.org/C90312973","wikidata":"https://www.wikidata.org/wiki/Q7449052","display_name":"Semantic data model","level":2,"score":0.2703000009059906},{"id":"https://openalex.org/C85407183","wikidata":"https://www.wikidata.org/wiki/Q1045785","display_name":"Semantic network","level":2,"score":0.26589998602867126},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.2653000056743622},{"id":"https://openalex.org/C192800085","wikidata":"https://www.wikidata.org/wiki/Q5258530","display_name":"Semantic interoperability","level":3,"score":0.2606000006198883},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.25920000672340393},{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.2574999928474426},{"id":"https://openalex.org/C103692084","wikidata":"https://www.wikidata.org/wiki/Q1765824","display_name":"Semantic grid","level":3,"score":0.257099986076355},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.2542000114917755},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.2508000135421753}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jsac.2025.3640593","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsac.2025.3640593","pdf_url":null,"source":{"id":"https://openalex.org/S90422530","display_name":"IEEE Journal on Selected Areas in Communications","issn_l":"0733-8716","issn":["0733-8716","1558-0008"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal on Selected Areas in Communications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1543307117","display_name":null,"funder_award_id":"62231017","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3337077761","display_name":null,"funder_award_id":"No. 62427802","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7900888754","display_name":null,"funder_award_id":"62427802","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8677917549","display_name":null,"funder_award_id":"No.62231017","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320327518","display_name":"Priority Academic Program Development of Jiangsu Higher Education Institutions","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Cross-modal":[0],"semantic":[1,22,99,106,111,116,123,175,196],"communication":[2,44,100],"plays":[3],"a":[4,96,104],"crucial":[5],"role":[6],"in":[7,18,156,189],"emergency":[8,209],"response":[9],"systems.":[10],"However,":[11],"there":[12],"are":[13,158,165],"still":[14],"two":[15],"major":[16],"challenges":[17],"practical":[19],"applications:":[20],"insufficient":[21],"compression":[23],"due":[24],"to":[25,60,75,113,134,149,186,191,198],"the":[26,30,38,77,150,153,162,200,220,227],"computing":[27],"constraints":[28],"of":[29],"source":[31],"device,":[32],"and":[33,88,140,161,194,225],"poor":[34],"signal":[35,82,205,228],"generation":[36,229],"at":[37],"sink":[39],"device":[40],"caused":[41],"by":[42,110,144,223,231],"harsh":[43],"environment.":[45],"To":[46],"this":[47,49,119],"end,":[48],"work":[50],"fully":[51],"leverages":[52,181],"multi-modal":[53,105],"interactive":[54],"large":[55],"AI":[56],"model":[57],"(LAM)":[58],"distillation":[59,133],"enhance":[61,199],"sparse":[62],"feature":[63,73,78,138],"representation":[64],"for":[65,80,137,167],"dynamic":[66],"residual":[67,163],"compression,":[68],"while":[69],"utilizing":[70],"LAM":[71,136,190],"adversarial":[72,172,182],"mapping":[74,201],"repair":[76],"impairment":[79],"accurate":[81,204],"generation,":[83],"thereby":[84],"achieving":[85],"low":[86],"latency":[87,222],"high":[89],"reliable":[90],"communication.":[91],"Specifically,":[92],"we":[93],"first":[94],"propose":[95],"scalable":[97],"cross-modal":[98,115,122,174],"framework,":[101],"which":[102,128,180],"constructs":[103],"knowledge":[107,132],"base":[108],"(MSKB)":[109],"similarity":[112],"support":[114],"codec.":[117],"On":[118],"basis,":[120],"residual-guided":[121],"encoding":[124],"(RCSE)":[125],"is":[126,178,212],"designed,":[127],"employs":[129],"video-infrared":[130],"bidirectional":[131],"lightweight":[135],"extraction,":[139],"initially":[141],"compresses":[142],"features":[143,155,164,188],"inter-modal":[145],"correlations.":[146],"Further,":[147],"according":[148],"link":[151],"state,":[152],"similar":[154],"MSKB":[157],"dynamically":[159],"stripped":[160],"compressed":[166],"low-latency":[168],"transmission.":[169],"Additionally,":[170],"an":[171,208],"mapping-based":[173],"decoding":[176],"(AMCSD)":[177],"developed,":[179],"mutual":[183],"information":[184],"(MI)":[185],"map":[187],"impaired":[192],"features,":[193],"discriminate":[195],"fidelity":[197],"robustness,":[202],"ensuring":[203],"generation.":[206],"Finally,":[207],"simulation":[210],"platform":[211],"constructed.":[213],"Experiments":[214],"demonstrate":[215],"that":[216],"our":[217],"scheme":[218],"reduces":[219],"transmission":[221],"27.64%":[224],"improves":[226],"precision":[230],"14.06%.":[232]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-12-04T00:00:00"}
