{"id":"https://openalex.org/W2748760676","doi":"https://doi.org/10.1109/twc.2017.2740206","title":"A Kernel-Power-Density-Based Algorithm for Channel Multipath Components Clustering","display_name":"A Kernel-Power-Density-Based Algorithm for Channel Multipath Components Clustering","publication_year":2017,"publication_date":"2017-08-18","ids":{"openalex":"https://openalex.org/W2748760676","doi":"https://doi.org/10.1109/twc.2017.2740206","mag":"2748760676"},"language":"en","primary_location":{"id":"doi:10.1109/twc.2017.2740206","is_oa":false,"landing_page_url":"https://doi.org/10.1109/twc.2017.2740206","pdf_url":null,"source":{"id":"https://openalex.org/S63459445","display_name":"IEEE Transactions on Wireless Communications","issn_l":"1536-1276","issn":["1536-1276","1558-2248"],"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 Transactions on Wireless 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/A5012250827","display_name":"Ruisi He","orcid":"https://orcid.org/0000-0003-4135-3227"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ruisi He","raw_affiliation_strings":["Beijing Key Laboratory of Traffic Data Analysis and Mining, Beijing Jiaotong University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-4135-3227","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Traffic Data Analysis and Mining, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005350496","display_name":"Qingyong Li","orcid":"https://orcid.org/0000-0002-3860-4809"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingyong Li","raw_affiliation_strings":["School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100620739","display_name":"Bo Ai","orcid":"https://orcid.org/0000-0001-6850-0595"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Ai","raw_affiliation_strings":["State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-6850-0595","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042421186","display_name":"Yang Li-Ao Geng","orcid":null},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Li-Ao Geng","raw_affiliation_strings":["School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071725365","display_name":"Andreas F. Molisch","orcid":"https://orcid.org/0000-0002-4779-4763"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andreas F. Molisch","raw_affiliation_strings":["Department of Electrical Engineering, University of Southern California, Los Angeles, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017711336","display_name":"Vinod Kristem","orcid":"https://orcid.org/0000-0002-0891-3969"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vinod Kristem","raw_affiliation_strings":["Department of Electrical Engineering, University of Southern California, Los Angeles, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100350955","display_name":"Zhangdui Zhong","orcid":"https://orcid.org/0000-0001-8889-7374"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhangdui Zhong","raw_affiliation_strings":["State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027501725","display_name":"Jian Yu","orcid":"https://orcid.org/0000-0002-9488-5182"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Yu","raw_affiliation_strings":["Beijing Key Lab of Traffic Data Analysis and Mining, Beijing Jiaotong University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Lab of Traffic Data Analysis and Mining, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5012250827"],"corresponding_institution_ids":["https://openalex.org/I21193070"],"apc_list":null,"apc_paid":null,"fwci":11.1044,"has_fulltext":false,"cited_by_count":150,"citation_normalized_percentile":{"value":0.98778733,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"16","issue":"11","first_page":"7138","last_page":"7151"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10936","display_name":"Millimeter-Wave Propagation and Modeling","score":0.9933000206947327,"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"}},"topics":[{"id":"https://openalex.org/T10936","display_name":"Millimeter-Wave Propagation and Modeling","score":0.9933000206947327,"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/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.9878000020980835,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9828000068664551,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6894510388374329},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6778237819671631},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6616985201835632},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5945882797241211},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.5606908202171326},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5568453669548035},{"id":"https://openalex.org/keywords/multipath-propagation","display_name":"Multipath propagation","score":0.523242175579071},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.5132715702056885},{"id":"https://openalex.org/keywords/kernel-density-estimation","display_name":"Kernel density estimation","score":0.5067082047462463},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.42706790566444397},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2595101296901703},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.13937553763389587},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.12020036578178406},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10939064621925354}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6894510388374329},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6778237819671631},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6616985201835632},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5945882797241211},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.5606908202171326},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5568453669548035},{"id":"https://openalex.org/C161218011","wikidata":"https://www.wikidata.org/wiki/Q11827794","display_name":"Multipath propagation","level":3,"score":0.523242175579071},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.5132715702056885},{"id":"https://openalex.org/C71134354","wikidata":"https://www.wikidata.org/wiki/Q458825","display_name":"Kernel density estimation","level":3,"score":0.5067082047462463},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.42706790566444397},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2595101296901703},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.13937553763389587},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.12020036578178406},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10939064621925354},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/twc.2017.2740206","is_oa":false,"landing_page_url":"https://doi.org/10.1109/twc.2017.2740206","pdf_url":null,"source":{"id":"https://openalex.org/S63459445","display_name":"IEEE Transactions on Wireless Communications","issn_l":"1536-1276","issn":["1536-1276","1558-2248"],"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 Transactions on Wireless Communications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1523388589","display_name":null,"funder_award_id":"61771037","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1626130668","display_name":null,"funder_award_id":"U1334202","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G362227872","display_name":null,"funder_award_id":"2016JBZ006","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G5192003750","display_name":null,"funder_award_id":"61501020","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G560591758","display_name":null,"funder_award_id":"2016M591355","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G6052638138","display_name":null,"funder_award_id":"J160004","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"},{"id":"https://openalex.org/G7547859361","display_name":null,"funder_award_id":"2016YFB1200102-04","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G774056389","display_name":null,"funder_award_id":"RCS2016ZJ005","funder_id":"https://openalex.org/F4320323067","funder_display_name":"State Key Laboratory of Rail Traffic Control and Safety"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null},{"id":"https://openalex.org/F4320323067","display_name":"State Key Laboratory of Rail Traffic Control and Safety","ror":"https://ror.org/01yj56c84"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":70,"referenced_works":["https://openalex.org/W1506831946","https://openalex.org/W1509061701","https://openalex.org/W1532159629","https://openalex.org/W1536679658","https://openalex.org/W1585903625","https://openalex.org/W1613559169","https://openalex.org/W1651093245","https://openalex.org/W1660133578","https://openalex.org/W1673310716","https://openalex.org/W1889613222","https://openalex.org/W1977424544","https://openalex.org/W1987301581","https://openalex.org/W1987971958","https://openalex.org/W1988035518","https://openalex.org/W2008105706","https://openalex.org/W2029035511","https://openalex.org/W2031495348","https://openalex.org/W2034159263","https://openalex.org/W2047143776","https://openalex.org/W2063104534","https://openalex.org/W2065042657","https://openalex.org/W2072079297","https://openalex.org/W2072240081","https://openalex.org/W2098152234","https://openalex.org/W2099411281","https://openalex.org/W2099943676","https://openalex.org/W2103903472","https://openalex.org/W2108146423","https://openalex.org/W2113638573","https://openalex.org/W2123509976","https://openalex.org/W2124490144","https://openalex.org/W2127218421","https://openalex.org/W2127305130","https://openalex.org/W2129727074","https://openalex.org/W2130740851","https://openalex.org/W2131651545","https://openalex.org/W2135647798","https://openalex.org/W2138483811","https://openalex.org/W2140089063","https://openalex.org/W2140190241","https://openalex.org/W2145148742","https://openalex.org/W2153233077","https://openalex.org/W2158249175","https://openalex.org/W2160515200","https://openalex.org/W2161628826","https://openalex.org/W2163363194","https://openalex.org/W2165835468","https://openalex.org/W2171267623","https://openalex.org/W2171884936","https://openalex.org/W2201689199","https://openalex.org/W2333715204","https://openalex.org/W2339848418","https://openalex.org/W2472272354","https://openalex.org/W2515440490","https://openalex.org/W2612451904","https://openalex.org/W2789473133","https://openalex.org/W2952461389","https://openalex.org/W2999729612","https://openalex.org/W3107179866","https://openalex.org/W4232896595","https://openalex.org/W6630114916","https://openalex.org/W6631755273","https://openalex.org/W6631825148","https://openalex.org/W6634982198","https://openalex.org/W6637052001","https://openalex.org/W6637131181","https://openalex.org/W6637231022","https://openalex.org/W6674840440","https://openalex.org/W6678914141","https://openalex.org/W7037730639"],"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/W2100927906","https://openalex.org/W2544181819"],"abstract_inverted_index":{"Cluster-based":[0],"channel":[1,12,26,130,194],"modeling":[2],"has":[3,182],"been":[4],"an":[5],"important":[6],"trend":[7],"in":[8,102,164],"the":[9,71,78,87,90,93,98,103,109,125,133,172],"development":[10],"of":[11,25,74,81,89,113,118,148],"model,":[13],"as":[14,36,175],"it":[15],"maintains":[16],"accuracy":[17],"while":[18],"reducing":[19],"complexity.":[20],"Whereas":[21],"a":[22,60,145,183],"large":[23,146,151],"number":[24,147,176],"measurements":[27,131],"have":[28,43],"shown":[29],"that":[30],"multipath":[31],"components":[32],"(MPCs)":[33],"are":[34],"distributed":[35],"groups,":[37],"i.e.,":[38],"clusters,":[39,173],"existing":[40],"clustering":[41],"algorithms":[42],"various":[44],"drawbacks":[45],"with":[46,144,167],"respect":[47],"to":[48,76,106,123],"complexity,":[49],"threshold":[50],"choices,":[51],"and/or":[52],"assumptions":[53],"about":[54,171],"prior":[55,169],"knowledge.":[56],"In":[57],"this":[58],"paper,":[59],"kernel-power-density":[61],"(KPD)-based":[62],"algorithm":[63,95,161],"is":[64,121,141],"proposed":[65],"for":[66,192],"MPC":[67],"clustering.":[68],"It":[69,180],"uses":[70],"kernel":[72],"density":[73,104,111],"MPCs":[75,82,101],"incorporate":[77],"modeled":[79],"behavior":[80],"and":[83,129,136,150,177,188],"takes":[84],"into":[85],"account":[86],"power":[88],"MPCs.":[91,114],"Furthermore,":[92],"KPD":[94,134,160],"only":[96],"considers":[97],"K":[99],"nearest":[100],"estimation":[105],"better":[107],"identify":[108],"local":[110],"variations":[112],"A":[115],"heuristic":[116],"approach":[117],"cluster":[119,152],"merging":[120],"used":[122,191],"improve":[124],"performance.":[126],"Both":[127],"simulation":[128],"validate":[132],"algorithm,":[135],"almost":[137],"no":[138,168],"performance":[139],"degradation":[140],"found":[142],"even":[143],"clusters":[149],"angular":[153],"spread,":[154],"which":[155],"outperforming":[156],"other":[157],"algorithms.":[158],"The":[159],"enables":[162],"applications":[163],"multipleinput-multiple-output":[165],"channels":[166],"knowledge":[170],"such":[174],"initial":[178],"locations.":[179],"also":[181],"fairly":[184],"low":[185],"computational":[186],"complexity":[187],"can":[189],"be":[190],"clusterbased":[193],"modeling.":[195]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":22},{"year":2021,"cited_by_count":24},{"year":2020,"cited_by_count":15},{"year":2019,"cited_by_count":26},{"year":2018,"cited_by_count":24},{"year":2017,"cited_by_count":11}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}