{"id":"https://openalex.org/W3203617852","doi":"https://doi.org/10.1109/bmsb53066.2021.9547019","title":"On Wireless Channel Classification Based on CP-OFDM System","display_name":"On Wireless Channel Classification Based on CP-OFDM System","publication_year":2021,"publication_date":"2021-08-04","ids":{"openalex":"https://openalex.org/W3203617852","doi":"https://doi.org/10.1109/bmsb53066.2021.9547019","mag":"3203617852"},"language":"en","primary_location":{"id":"doi:10.1109/bmsb53066.2021.9547019","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bmsb53066.2021.9547019","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)","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/A5102762336","display_name":"Xia Li","orcid":"https://orcid.org/0000-0003-4038-3061"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]},{"id":"https://openalex.org/I4210101396","display_name":"Communications Technology Laboratory","ror":"https://ror.org/015xey021","country_code":"US","type":"government","lineage":["https://openalex.org/I1321296531","https://openalex.org/I1343035065","https://openalex.org/I4210101396"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Xia Li","raw_affiliation_strings":["Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai, China","National Key Laboratory of Science and Technology on Communications"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"National Key Laboratory of Science and Technology on Communications","institution_ids":["https://openalex.org/I4210101396"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051897815","display_name":"Jian Xiong","orcid":"https://orcid.org/0000-0002-8346-178X"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]},{"id":"https://openalex.org/I4210101396","display_name":"Communications Technology Laboratory","ror":"https://ror.org/015xey021","country_code":"US","type":"government","lineage":["https://openalex.org/I1321296531","https://openalex.org/I1343035065","https://openalex.org/I4210101396"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Jian Xiong","raw_affiliation_strings":["Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai, China","National Key Laboratory of Science and Technology on Communications"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"National Key Laboratory of Science and Technology on Communications","institution_ids":["https://openalex.org/I4210101396"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029386831","display_name":"Peng Cheng","orcid":"https://orcid.org/0000-0002-6200-5937"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Peng Cheng","raw_affiliation_strings":["School of Computer Science, University of Technology Sydney, Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Technology Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090439174","display_name":"Zhiping Shi","orcid":"https://orcid.org/0000-0002-9851-440X"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiping Shi","raw_affiliation_strings":["School of Electrical and Information Engineering, Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113964671","display_name":"Mingang Shan","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingang Shan","raw_affiliation_strings":["Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100605395","display_name":"Fang Qin","orcid":"https://orcid.org/0009-0004-7152-1142"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qin Fang","raw_affiliation_strings":["Center Of Mass Entrepreneurship and Innovation, State Grid Zhejiang Electric Power Co., Ltd, ZheJiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center Of Mass Entrepreneurship and Innovation, State Grid Zhejiang Electric Power Co., Ltd, ZheJiang, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4198,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.70069714,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9991000294685364,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9966999888420105,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cyclic-prefix","display_name":"Cyclic prefix","score":0.7837635278701782},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7114219069480896},{"id":"https://openalex.org/keywords/orthogonal-frequency-division-multiplexing","display_name":"Orthogonal frequency-division multiplexing","score":0.6228492259979248},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6027132868766785},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.594782292842865},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5881341695785522},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4934958219528198},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4921562075614929},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42530566453933716},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38232317566871643},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3640941381454468},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11371317505836487}],"concepts":[{"id":"https://openalex.org/C2778775284","wikidata":"https://www.wikidata.org/wiki/Q5198224","display_name":"Cyclic prefix","level":4,"score":0.7837635278701782},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7114219069480896},{"id":"https://openalex.org/C40409654","wikidata":"https://www.wikidata.org/wiki/Q375889","display_name":"Orthogonal frequency-division multiplexing","level":3,"score":0.6228492259979248},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6027132868766785},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.594782292842865},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5881341695785522},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4934958219528198},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4921562075614929},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42530566453933716},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38232317566871643},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3640941381454468},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11371317505836487}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bmsb53066.2021.9547019","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bmsb53066.2021.9547019","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G216496295","display_name":null,"funder_award_id":"62071294,61671295","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4883156862","display_name":null,"funder_award_id":"SKX202010009","funder_id":"https://openalex.org/F4320326932","funder_display_name":"National Key Laboratory of Science and Technology on Communications"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320326932","display_name":"National Key Laboratory of Science and Technology on Communications","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1518468666","https://openalex.org/W2124740100","https://openalex.org/W2183201624","https://openalex.org/W2318380138","https://openalex.org/W2584949566","https://openalex.org/W2603919203","https://openalex.org/W3012158304","https://openalex.org/W6686195322"],"related_works":["https://openalex.org/W2163986192","https://openalex.org/W2169555090","https://openalex.org/W2143281946","https://openalex.org/W2564136926","https://openalex.org/W2109072943","https://openalex.org/W2355672245","https://openalex.org/W2124096513","https://openalex.org/W2792561661","https://openalex.org/W1569011150","https://openalex.org/W2371518943"],"abstract_inverted_index":{"The":[0],"channel":[1,28,46,79],"feature":[2],"identification":[3,29],"plays":[4],"a":[5,24,104],"key":[6],"role":[7],"in":[8,50,107,161],"booting":[9],"the":[10,16,42,45,51,77,84,99,115,150,158,162],"transmission":[11],"efficiency":[12],"through":[13],"dynamically":[14],"adjusting":[15],"transceiver":[17],"parameters.":[18],"In":[19,145],"this":[20,55],"paper,":[21],"we":[22,87,147],"propose":[23],"novel":[25],"machine":[26,67],"learning-based":[27],"method":[30,101,154],"for":[31],"cyclic-prefix":[32],"orthogonal":[33],"frequency":[34],"division":[35],"multiplexing":[36],"(CP-OFDM)":[37],"systems.":[38],"We":[39],"first":[40],"extract":[41],"features":[43],"of":[44,109],"state":[47],"information":[48],"(CSI)":[49],"time":[52],"domain.":[53],"On":[54],"basis,":[56],"learning":[57],"based":[58],"classification":[59,110,159],"methods,":[60],"including":[61],"K-nearest":[62],"neighbor":[63],"(KNN),":[64],"support":[65],"vector":[66],"(SVM)":[68],"and":[69,91,129,131],"neural":[70],"network":[71],"(NN),":[72],"are":[73],"used":[74],"to":[75,155],"classify":[76],"different":[78],"types.":[80],"To":[81],"further":[82,156],"reduce":[83],"computational":[85],"complexity,":[86],"leverage":[88],"data":[89,92],"extraction":[90],"truncation.":[93],"Our":[94],"simulation":[95],"results":[96],"show":[97],"that":[98],"proposed":[100],"can":[102,118,134],"achieve":[103,119,135],"favorable":[105],"performance":[106,160],"terms":[108],"accuracy":[111],"(CA).":[112],"For":[113],"example,":[114],"KNN":[116,130],"algorithm":[117,133],"CA":[120,136],"<tex":[121,137],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[122,138],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$\\geq":[123,139],"90\\%$</tex>":[124,140],"when":[125,141],"SNR":[126,142,164],"is":[127,143],"\u221210dB,":[128],"SVM":[132],"\u22128dB.":[144],"addition,":[146],"also":[148],"introduce":[149],"multi-frame":[151],"gain":[152],"combination":[153],"improve":[157],"low":[163],"regions.":[165]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}