{"id":"https://openalex.org/W4404563305","doi":"https://doi.org/10.1109/lcomm.2024.3502753","title":"Information Rates of Channels With Additive White Cauchy Noise","display_name":"Information Rates of Channels With Additive White Cauchy Noise","publication_year":2024,"publication_date":"2024-11-20","ids":{"openalex":"https://openalex.org/W4404563305","doi":"https://doi.org/10.1109/lcomm.2024.3502753"},"language":"en","primary_location":{"id":"doi:10.1109/lcomm.2024.3502753","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lcomm.2024.3502753","pdf_url":null,"source":{"id":"https://openalex.org/S147316732","display_name":"IEEE Communications Letters","issn_l":"1089-7798","issn":["1089-7798","1558-2558","2373-7891"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications Society","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 Communications Letters","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/A5085546034","display_name":"Shuqin Pang","orcid":"https://orcid.org/0000-0002-0951-6084"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shuqin Pang","raw_affiliation_strings":["Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100360030","display_name":"Wenyi Zhang","orcid":"https://orcid.org/0000-0003-4227-0749"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenyi Zhang","raw_affiliation_strings":["Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5085546034"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":0.3637,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.6898179,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"29","issue":"1","first_page":"115","last_page":"119"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10682","display_name":"Quantum Computing Algorithms and Architecture","score":0.9643999934196472,"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/T10682","display_name":"Quantum Computing Algorithms and Architecture","score":0.9643999934196472,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9562000036239624,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10964","display_name":"Wireless Communication Security Techniques","score":0.9473999738693237,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/white-noise","display_name":"White noise","score":0.7069257497787476},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5170624852180481},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5086241960525513},{"id":"https://openalex.org/keywords/additive-white-gaussian-noise","display_name":"Additive white Gaussian noise","score":0.5047413110733032},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.42799851298332214},{"id":"https://openalex.org/keywords/white","display_name":"White (mutation)","score":0.4213413894176483},{"id":"https://openalex.org/keywords/cauchy-distribution","display_name":"Cauchy distribution","score":0.4158576428890228},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.39869722723960876},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3819223940372467},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3590770363807678},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34099677205085754},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22327882051467896}],"concepts":[{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.7069257497787476},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5170624852180481},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5086241960525513},{"id":"https://openalex.org/C169334058","wikidata":"https://www.wikidata.org/wiki/Q353292","display_name":"Additive white Gaussian noise","level":3,"score":0.5047413110733032},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.42799851298332214},{"id":"https://openalex.org/C56273599","wikidata":"https://www.wikidata.org/wiki/Q3122841","display_name":"White (mutation)","level":3,"score":0.4213413894176483},{"id":"https://openalex.org/C49344536","wikidata":"https://www.wikidata.org/wiki/Q726441","display_name":"Cauchy distribution","level":2,"score":0.4158576428890228},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.39869722723960876},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3819223940372467},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3590770363807678},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34099677205085754},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22327882051467896},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lcomm.2024.3502753","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lcomm.2024.3502753","pdf_url":null,"source":{"id":"https://openalex.org/S147316732","display_name":"IEEE Communications Letters","issn_l":"1089-7798","issn":["1089-7798","1558-2558","2373-7891"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications Society","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 Communications Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3543960157","display_name":null,"funder_award_id":"62231022","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W147132108","https://openalex.org/W1941175260","https://openalex.org/W1983913844","https://openalex.org/W1997680123","https://openalex.org/W2077730584","https://openalex.org/W2078083046","https://openalex.org/W2099111195","https://openalex.org/W2102644773","https://openalex.org/W2108033855","https://openalex.org/W2115170046","https://openalex.org/W2119584244","https://openalex.org/W2126623653","https://openalex.org/W2126813496","https://openalex.org/W2129467394","https://openalex.org/W2130128605","https://openalex.org/W2145522405","https://openalex.org/W2148986322","https://openalex.org/W2165155912","https://openalex.org/W2171735384","https://openalex.org/W2567963522","https://openalex.org/W2592053755","https://openalex.org/W3111729643","https://openalex.org/W4320731269","https://openalex.org/W4384159718","https://openalex.org/W6719019098"],"related_works":["https://openalex.org/W2101505280","https://openalex.org/W2791735244","https://openalex.org/W4233030723","https://openalex.org/W4401398999","https://openalex.org/W2093526602","https://openalex.org/W4377082691","https://openalex.org/W4205110002","https://openalex.org/W1974392290","https://openalex.org/W3103566292","https://openalex.org/W1607924090"],"abstract_inverted_index":{"Information":[0],"transmission":[1],"over":[2],"discrete-time":[3],"channels":[4,103,116],"with":[5,68,104],"memoryless":[6],"additive":[7,32,98],"noise":[8,35,101],"obeying":[9],"a":[10,130,141],"Cauchy,":[11],"rather":[12],"than":[13],"Gaussian,":[14],"distribution,":[15],"are":[16,39],"studied.":[17],"The":[18],"channel":[19,37,59,138],"input":[20,44,74],"satisfies":[21],"an":[22],"average":[23],"power":[24,45,75],"constraint.":[25],"Upper":[26],"and":[27,51,61],"lower":[28,52,63,73],"bounds":[29,53],"to":[30,97,114],"such":[31],"white":[33,99],"Cauchy":[34],"(AWCN)":[36],"capacity":[38,78],"established.":[40],"In":[41,71],"the":[42,47,62,72,77,91,109,122,137],"high":[43],"regime,":[46,76],"gap":[48],"between":[49],"upper":[50],"is":[54,88,127],"within":[55],"0.5":[56],"nats":[57],"per":[58],"use,":[60],"bound":[64],"can":[65,79,94],"be":[66,80,95],"achieved":[67],"Gaussian":[69,100],"input.":[70,86],"asymptotically":[81],"approached":[82],"by":[83],"employing":[84],"antipodal":[85],"It":[87],"shown":[89,128],"that":[90,129],"AWCN":[92,115],"decoder":[93,111],"applied":[96,113],"(AWGN)":[102],"negligible":[105],"rate":[106],"loss,":[107],"while":[108],"AWGN":[110,146],"when":[112],"cannot":[117],"ensure":[118],"reliable":[119],"decoding.":[120],"For":[121],"vector":[123,147],"receiver":[124,133],"case,":[125],"it":[126],"linear":[131],"combining":[132,139],"front":[134],"end":[135],"loses":[136],"gain,":[140],"phenomenon":[142],"drastically":[143],"different":[144],"from":[145],"channels.":[148]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}
