{"id":"https://openalex.org/W2916991616","doi":"https://doi.org/10.1109/glocom.2018.8647393","title":"A Two-Step Learning and Interpolation Method for Location-Based Channel Database Construction","display_name":"A Two-Step Learning and Interpolation Method for Location-Based Channel Database Construction","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2916991616","doi":"https://doi.org/10.1109/glocom.2018.8647393","mag":"2916991616"},"language":"en","primary_location":{"id":"doi:10.1109/glocom.2018.8647393","is_oa":false,"landing_page_url":"https://doi.org/10.1109/glocom.2018.8647393","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Global Communications Conference (GLOBECOM)","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/A5020798769","display_name":"Ruichen Deng","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ruichen Deng","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008150938","display_name":"Zhiyuan Jiang","orcid":"https://orcid.org/0000-0002-8522-5721"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiyuan Jiang","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021120517","display_name":"Sheng Zhou","orcid":"https://orcid.org/0000-0003-0651-0071"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sheng Zhou","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009164482","display_name":"Shuguang Cui","orcid":"https://orcid.org/0000-0003-2608-775X"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]},{"id":"https://openalex.org/I4210099586","display_name":"Shenzhen Research Institute of Big Data","ror":"https://ror.org/00z1gwf89","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099586"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuguang Cui","raw_affiliation_strings":["Shenzhen Research Institute of Big Data, The Chinese University of Hong Kong, Shenzhen"],"affiliations":[{"raw_affiliation_string":"Shenzhen Research Institute of Big Data, The Chinese University of Hong Kong, Shenzhen","institution_ids":["https://openalex.org/I4210116924","https://openalex.org/I4210099586"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079749340","display_name":"Zhisheng Niu","orcid":"https://orcid.org/0000-0003-0420-2024"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhisheng Niu","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5020798769"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":1.03,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.78954319,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9994000196456909,"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9994000196456909,"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":0.9993000030517578,"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/T10936","display_name":"Millimeter-Wave Propagation and Modeling","score":0.9993000030517578,"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/computer-science","display_name":"Computer science","score":0.8017324209213257},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.6628506183624268},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.6168632507324219},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5665677785873413},{"id":"https://openalex.org/keywords/tracing","display_name":"Tracing","score":0.5489372611045837},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5333041548728943},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.4667888581752777},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.44214552640914917},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.43613511323928833},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2944523096084595},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.13681119680404663},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.0880400538444519}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8017324209213257},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.6628506183624268},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.6168632507324219},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5665677785873413},{"id":"https://openalex.org/C138673069","wikidata":"https://www.wikidata.org/wiki/Q322229","display_name":"Tracing","level":2,"score":0.5489372611045837},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5333041548728943},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.4667888581752777},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.44214552640914917},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.43613511323928833},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2944523096084595},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.13681119680404663},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.0880400538444519},{"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/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/glocom.2018.8647393","is_oa":false,"landing_page_url":"https://doi.org/10.1109/glocom.2018.8647393","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Global Communications Conference (GLOBECOM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1490674876","https://openalex.org/W1885185971","https://openalex.org/W1904101742","https://openalex.org/W1964851313","https://openalex.org/W1965392255","https://openalex.org/W1989269224","https://openalex.org/W2062915837","https://openalex.org/W2117206394","https://openalex.org/W2121058967","https://openalex.org/W2122111042","https://openalex.org/W2140452629","https://openalex.org/W2140653181","https://openalex.org/W2156387975","https://openalex.org/W2162266217","https://openalex.org/W2963477046","https://openalex.org/W4293263215","https://openalex.org/W6682889407"],"related_works":["https://openalex.org/W2888673113","https://openalex.org/W2056065966","https://openalex.org/W2352602608","https://openalex.org/W4293226380","https://openalex.org/W2062641654","https://openalex.org/W2212288070","https://openalex.org/W3149975758","https://openalex.org/W1517786189","https://openalex.org/W164695339","https://openalex.org/W3213987435"],"abstract_inverted_index":{"Timely":[0],"and":[1,18,97],"accurate":[2],"knowledge":[3],"of":[4,46],"channel":[5,26,37,51,111],"state":[6],"information":[7],"(CSI)":[8],"is":[9,53],"necessary":[10],"to":[11,23,34,77,92,109],"support":[12,24],"scheduling":[13],"operations":[14],"at":[15,81],"both":[16],"physical":[17],"network":[19],"layers.":[20],"In":[21],"order":[22],"pilot-free":[25],"estimation":[27],"in":[28,67,124],"cell":[29],"sleeping":[30],"scenarios,":[31],"we":[32,71],"propose":[33],"adopt":[35],"a":[36,44,50,73,94,102,121],"database":[38,52,96],"that":[39],"stores":[40],"the":[41,65,68,79,82,89,110,127],"CSI":[42],"as":[43],"function":[45],"geographic":[47],"locations.":[48,84],"Such":[49],"generated":[54,113],"from":[55],"historical":[56],"user":[57],"records,":[58],"which":[59],"usually":[60],"can":[61],"not":[62],"cover":[63],"all":[64],"locations":[66],"cell.":[69],"Therefore,":[70],"develop":[72],"two-step":[74],"interpolation":[75,129],"method":[76,86,91,119],"infer":[78],"channels":[80],"uncovered":[83],"The":[85],"firstly":[87],"applies":[88],"K-nearest-neighbor":[90],"form":[93],"coarse":[95],"then":[98],"refines":[99],"it":[100],"with":[101],"deep":[103],"convolutional":[104],"neural":[105],"network.":[106],"When":[107],"applied":[108],"data":[112],"by":[114],"ray":[115],"tracing":[116],"software,":[117],"our":[118],"shows":[120],"great":[122],"advantage":[123],"performance":[125],"over":[126],"conventional":[128],"methods.":[130]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}