{"id":"https://openalex.org/W4413822871","doi":"https://doi.org/10.1109/icccn65249.2025.11133769","title":"The Adaptive GMM for Rician Parameters Estimation in Industrial IoT Systems with Reverse KLD to Distinguish Redundant Kernels","display_name":"The Adaptive GMM for Rician Parameters Estimation in Industrial IoT Systems with Reverse KLD to Distinguish Redundant Kernels","publication_year":2025,"publication_date":"2025-08-04","ids":{"openalex":"https://openalex.org/W4413822871","doi":"https://doi.org/10.1109/icccn65249.2025.11133769"},"language":"en","primary_location":{"id":"doi:10.1109/icccn65249.2025.11133769","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccn65249.2025.11133769","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 34th International Conference on Computer Communications and Networks (ICCCN)","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/A5103818741","display_name":"Yiling Cao","orcid":"https://orcid.org/0009-0000-9138-9135"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yifan Cao","raw_affiliation_strings":["Univ. of Chinese Academy of Sciences,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Univ. of Chinese Academy of Sciences,Beijing,China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100652789","display_name":"Yuheng Li","orcid":"https://orcid.org/0000-0002-0197-0637"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuheng Li","raw_affiliation_strings":["China Academy of Elec. and Infor. Tech.,Beijing,China"],"affiliations":[{"raw_affiliation_string":"China Academy of Elec. and Infor. Tech.,Beijing,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112053388","display_name":"Zhipei Huang","orcid":"https://orcid.org/0000-0001-8034-939X"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhipei Huang","raw_affiliation_strings":["Univ. of Chinese Academy of Sciences,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Univ. of Chinese Academy of Sciences,Beijing,China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101810760","display_name":"Xuewu Dai","orcid":"https://orcid.org/0000-0002-9324-5925"},"institutions":[{"id":"https://openalex.org/I32394136","display_name":"Northumbria University","ror":"https://ror.org/049e6bc10","country_code":"GB","type":"education","lineage":["https://openalex.org/I32394136"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Xuewu Dai","raw_affiliation_strings":["Northumbria University,Newcastle-Upon-Tyne,UK"],"affiliations":[{"raw_affiliation_string":"Northumbria University,Newcastle-Upon-Tyne,UK","institution_ids":["https://openalex.org/I32394136"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051763346","display_name":"Wuxiong Zhang","orcid":"https://orcid.org/0000-0002-5084-3351"},"institutions":[{"id":"https://openalex.org/I4210147322","display_name":"Shanghai Institute of Microsystem and Information Technology","ror":"https://ror.org/04nytyj38","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210147322"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wuxiong Zhang","raw_affiliation_strings":["Shanghai Inst. of Micro. and Info. Tech.,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"Shanghai Inst. of Micro. and Info. Tech.,Shanghai,China","institution_ids":["https://openalex.org/I4210147322"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074507539","display_name":"Fei Qin","orcid":"https://orcid.org/0000-0003-1671-8968"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Qin","raw_affiliation_strings":["Univ. of Chinese Academy of Sciences,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Univ. of Chinese Academy of Sciences,Beijing,China","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5103818741"],"corresponding_institution_ids":["https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.34279907,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.8664000034332275,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.8664000034332275,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T12564","display_name":"Sensor Technology and Measurement Systems","score":0.8342000246047974,"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/T10320","display_name":"Neural Networks and Applications","score":0.8199999928474426,"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/computer-science","display_name":"Computer science","score":0.6726186275482178},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.6283004879951477},{"id":"https://openalex.org/keywords/rician-fading","display_name":"Rician fading","score":0.5637253522872925},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.4514845013618469},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3273366689682007},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3142833709716797},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.18352532386779785},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1375247836112976},{"id":"https://openalex.org/keywords/systems-engineering","display_name":"Systems engineering","score":0.05654159188270569}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6726186275482178},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.6283004879951477},{"id":"https://openalex.org/C60472773","wikidata":"https://www.wikidata.org/wiki/Q7331156","display_name":"Rician fading","level":4,"score":0.5637253522872925},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.4514845013618469},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3273366689682007},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3142833709716797},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.18352532386779785},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1375247836112976},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.05654159188270569},{"id":"https://openalex.org/C81978471","wikidata":"https://www.wikidata.org/wiki/Q1196572","display_name":"Fading","level":3,"score":0.0},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccn65249.2025.11133769","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccn65249.2025.11133769","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 34th International Conference on Computer Communications and Networks (ICCCN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.5,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"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":14,"referenced_works":["https://openalex.org/W2019315213","https://openalex.org/W2042103430","https://openalex.org/W2122466965","https://openalex.org/W2135032037","https://openalex.org/W2159125213","https://openalex.org/W2345841749","https://openalex.org/W2531364460","https://openalex.org/W2883332127","https://openalex.org/W2900270078","https://openalex.org/W2902371444","https://openalex.org/W2922010054","https://openalex.org/W2982620443","https://openalex.org/W3005947787","https://openalex.org/W3178675959"],"related_works":["https://openalex.org/W2146680430","https://openalex.org/W2100999214","https://openalex.org/W1973317750","https://openalex.org/W1641214707","https://openalex.org/W2166688772","https://openalex.org/W2170880428","https://openalex.org/W2590769158","https://openalex.org/W2096957949","https://openalex.org/W1607978590","https://openalex.org/W2076800748"],"abstract_inverted_index":{"In":[0],"industrial":[1,68],"environments,":[2],"the":[3,51,86,102,123,126,137,145,150,155],"wireless":[4],"link":[5,20],"of":[6,19,38,50,53,89,104,116,128,154],"IoT":[7],"systems":[8],"often":[9],"experiences":[10],"complex":[11],"channel":[12,40,64],"fading":[13],"effects,":[14],"making":[15],"accurate":[16],"online":[17],"estimation":[18,37],"quality":[21],"crucial":[22],"for":[23,62],"improving":[24],"system":[25],"performance.":[26,97],"Using":[27],"Gaussian":[28,54,75,139],"Mixture":[29],"Model":[30],"(GMM)":[31],"to":[32,56,118,149],"fit":[33],"I/Q":[34],"symbols":[35],"allows":[36],"Rician":[39],"parameters,":[41],"but":[42],"traditional":[43],"GMMs":[44],"typically":[45],"rely":[46],"on":[47,79],"prior":[48,115],"knowledge":[49],"number":[52,88,127],"components":[55],"ensure":[57,143],"clustering":[58,96],"accuracy,":[59],"posing":[60],"challenges":[61],"adaptive":[63,74],"modulation":[65],"schemes":[66],"in":[67,125],"settings.":[69,159],"This":[70],"paper":[71],"proposes":[72,101],"an":[73,108],"mixture":[76],"model":[77],"based":[78],"Kullback-Leibler":[80],"divergence":[81],"(KLD),":[82],"which":[83],"autonomously":[84],"determines":[85],"optimal":[87,95,114],"clusters":[90,129],"through":[91],"iterative":[92],"evaluation,":[93],"achieving":[94],"Firstly,":[98],"this":[99],"study":[100],"utilization":[103],"forward":[105],"KLD":[106,134],"as":[107],"optimization":[109],"target,":[110],"leveraging":[111],"its":[112],"known":[113],"zero":[117],"avoid":[119],"local":[120],"optima.":[121],"Secondly,":[122],"redundancy":[124],"is":[130],"assessed":[131],"using":[132],"reverse":[133],"constructed":[135],"with":[136],"single":[138],"distribution.":[140],"These":[141],"improvements":[142],"that":[144],"GMM":[146],"converges":[147],"correctly":[148],"global":[151],"optimum":[152],"regardless":[153],"initial":[156],"cluster":[157],"count":[158]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}