{"id":"https://openalex.org/W4387870687","doi":"https://doi.org/10.1109/iccworkshops57953.2023.10283499","title":"Pilot-Free Semantic Communication Systems for Frequency-Selective Fading Channels","display_name":"Pilot-Free Semantic Communication Systems for Frequency-Selective Fading Channels","publication_year":2023,"publication_date":"2023-05-28","ids":{"openalex":"https://openalex.org/W4387870687","doi":"https://doi.org/10.1109/iccworkshops57953.2023.10283499"},"language":"en","primary_location":{"id":"doi:10.1109/iccworkshops57953.2023.10283499","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccworkshops57953.2023.10283499","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Communications Workshops (ICC Workshops)","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/A5078995628","display_name":"Zijian Cao","orcid":"https://orcid.org/0009-0007-9860-1486"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zijian Cao","raw_affiliation_strings":["Southeast University,National Mobile Communications Research Laboratory,Nanjing,China,210096"],"affiliations":[{"raw_affiliation_string":"Southeast University,National Mobile Communications Research Laboratory,Nanjing,China,210096","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100408729","display_name":"Hua Zhang","orcid":"https://orcid.org/0000-0003-0734-1329"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hua Zhang","raw_affiliation_strings":["Southeast University,National Mobile Communications Research Laboratory,Nanjing,China,210096"],"affiliations":[{"raw_affiliation_string":"Southeast University,National Mobile Communications Research Laboratory,Nanjing,China,210096","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066151952","display_name":"Le Liang","orcid":"https://orcid.org/0000-0002-8489-1933"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]},{"id":"https://openalex.org/I4210155350","display_name":"Purple Mountain Laboratories","ror":"https://ror.org/04zcbk583","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210155350"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Le Liang","raw_affiliation_strings":["Southeast University,National Mobile Communications Research Laboratory,Nanjing,China,210096","Purple Mountain Laboratories, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Southeast University,National Mobile Communications Research Laboratory,Nanjing,China,210096","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"Purple Mountain Laboratories, Nanjing, China","institution_ids":["https://openalex.org/I4210155350"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100384003","display_name":"Haotian Wang","orcid":"https://orcid.org/0000-0003-2846-8505"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haotian Wang","raw_affiliation_strings":["Southeast University,National Mobile Communications Research Laboratory,Nanjing,China,210096"],"affiliations":[{"raw_affiliation_string":"Southeast University,National Mobile Communications Research Laboratory,Nanjing,China,210096","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5078995628"],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":0.5245,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.72055913,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1860","last_page":"1865"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":1.0,"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":1.0,"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":0.9921000003814697,"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/T12946","display_name":"Fractal and DNA sequence analysis","score":0.9889000058174133,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.84366774559021},{"id":"https://openalex.org/keywords/fading","display_name":"Fading","score":0.7351973652839661},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.6359175443649292},{"id":"https://openalex.org/keywords/multipath-propagation","display_name":"Multipath propagation","score":0.6066575050354004},{"id":"https://openalex.org/keywords/channel-state-information","display_name":"Channel state information","score":0.5485303401947021},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.5387799143791199},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.5055453777313232},{"id":"https://openalex.org/keywords/communications-system","display_name":"Communications system","score":0.4710131883621216},{"id":"https://openalex.org/keywords/equalization","display_name":"Equalization (audio)","score":0.4254623353481293},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4222058951854706},{"id":"https://openalex.org/keywords/data-transmission","display_name":"Data transmission","score":0.41611921787261963},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3587752878665924},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.34803661704063416},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31589215993881226},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.21287226676940918}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.84366774559021},{"id":"https://openalex.org/C81978471","wikidata":"https://www.wikidata.org/wiki/Q1196572","display_name":"Fading","level":3,"score":0.7351973652839661},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.6359175443649292},{"id":"https://openalex.org/C161218011","wikidata":"https://www.wikidata.org/wiki/Q11827794","display_name":"Multipath propagation","level":3,"score":0.6066575050354004},{"id":"https://openalex.org/C148063708","wikidata":"https://www.wikidata.org/wiki/Q5072511","display_name":"Channel state information","level":3,"score":0.5485303401947021},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.5387799143791199},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.5055453777313232},{"id":"https://openalex.org/C101765175","wikidata":"https://www.wikidata.org/wiki/Q577764","display_name":"Communications system","level":2,"score":0.4710131883621216},{"id":"https://openalex.org/C75755367","wikidata":"https://www.wikidata.org/wiki/Q104531076","display_name":"Equalization (audio)","level":3,"score":0.4254623353481293},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4222058951854706},{"id":"https://openalex.org/C557945733","wikidata":"https://www.wikidata.org/wiki/Q389772","display_name":"Data transmission","level":2,"score":0.41611921787261963},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3587752878665924},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.34803661704063416},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31589215993881226},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.21287226676940918},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccworkshops57953.2023.10283499","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccworkshops57953.2023.10283499","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Communications Workshops (ICC Workshops)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6580843156","display_name":null,"funder_award_id":"2020YFB1807803","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W22168010","https://openalex.org/W2101105183","https://openalex.org/W2104657103","https://openalex.org/W2978725006","https://openalex.org/W3036851434","https://openalex.org/W3113050802","https://openalex.org/W3129254582","https://openalex.org/W3166791908","https://openalex.org/W4226150551","https://openalex.org/W4285047747","https://openalex.org/W4295046676","https://openalex.org/W4312422523","https://openalex.org/W6600880057","https://openalex.org/W6810966997"],"related_works":["https://openalex.org/W2376969857","https://openalex.org/W614679600","https://openalex.org/W2110252992","https://openalex.org/W2365309764","https://openalex.org/W2025635845","https://openalex.org/W2185486561","https://openalex.org/W2162082378","https://openalex.org/W2160582905","https://openalex.org/W4200038496","https://openalex.org/W2377373413"],"abstract_inverted_index":{"With":[0],"the":[1,28,38,62,97,106,111,118],"paradigm":[2],"shift":[3],"from":[4,105],"traditional":[5],"communication":[6,11,16,43,77],"systems":[7],"to":[8,23,48,99,124],"machine":[9],"learning-driven":[10,74],"systems,":[12],"deep":[13,73],"learning-based":[14],"semantic":[15,42,76,112,139],"is":[17],"considered":[18],"as":[19],"a":[20,72],"potential":[21],"approach":[22],"improve":[24],"transmission":[25,140],"efficiency.":[26],"However,":[27],"time-varying":[29],"and":[30,56,64,90,109,129,138],"multipath":[31],"effects":[32],"of":[33,40,135],"wireless":[34],"channels":[35,128],"significantly":[36],"influence":[37],"performance":[39],"existing":[41,131],"systems.":[44],"The":[45,83,114],"conventional":[46],"solutions":[47],"overcome":[49],"channel":[50,54,57,87,102],"impairments,":[51],"i.e.,":[52],"pilot-driven":[53],"estimation":[55],"equalization":[58],"approaches,":[59],"will":[60],"complicate":[61],"system":[63],"introduce":[65],"extra":[66],"overhead.":[67],"Therefore,":[68],"this":[69],"paper":[70],"proposes":[71],"pilot-free":[75],"framework":[78],"for":[79],"frequency-selective":[80,126],"fading":[81,127],"channels.":[82],"convolutional":[84],"neural":[85],"network-based":[86],"feature":[88],"extraction":[89],"data":[91],"recovery":[92],"modules":[93],"are":[94],"introduced":[95],"in":[96,133],"receiver":[98],"implicitly":[100],"extract":[101],"information":[103],"directly":[104],"received":[107],"signal":[108],"recover":[110],"information.":[113],"simulation":[115],"demonstrates":[116],"that":[117],"proposed":[119],"network":[120],"can":[121],"be":[122],"applied":[123],"various":[125],"outperforms":[130],"schemes":[132],"terms":[134],"computational":[136],"complexity":[137],"accuracy.":[141]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}