{"id":"https://openalex.org/W2529815203","doi":"https://doi.org/10.1109/apcc.2016.7581498","title":"Applications of G function in base station placement","display_name":"Applications of G function in base station placement","publication_year":2016,"publication_date":"2016-08-01","ids":{"openalex":"https://openalex.org/W2529815203","doi":"https://doi.org/10.1109/apcc.2016.7581498","mag":"2529815203"},"language":"en","primary_location":{"id":"doi:10.1109/apcc.2016.7581498","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apcc.2016.7581498","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 22nd Asia-Pacific Conference on Communications (APCC)","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/A5030734015","display_name":"Tingting Pan","orcid":"https://orcid.org/0000-0003-2100-6797"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ting-ting Pan","raw_affiliation_strings":["Key Laboratory of Optoelectronic Sensor and Sensing Network Technology, Nankai University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Optoelectronic Sensor and Sensing Network Technology, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100681665","display_name":"Hui Zhang","orcid":"https://orcid.org/0000-0001-6937-8368"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Zhang","raw_affiliation_strings":["Department of Communication Engineering, Nankai University"],"affiliations":[{"raw_affiliation_string":"Department of Communication Engineering, Nankai University","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112650889","display_name":"Jiayuan Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia-yuan Hu","raw_affiliation_strings":["Key Laboratory of Optoelectronic Sensor and Sensing Network Technology, Nankai University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Optoelectronic Sensor and Sensing Network Technology, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011961844","display_name":"Mu-ze Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mu-ze Zhao","raw_affiliation_strings":["Key Laboratory of Optoelectronic Sensor and Sensing Network Technology, Nankai University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Optoelectronic Sensor and Sensing Network Technology, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5030734015"],"corresponding_institution_ids":["https://openalex.org/I205237279"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10092357,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"599","last_page":"603"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11911","display_name":"Spatial and Panel Data Analysis","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11911","display_name":"Spatial and Panel Data Analysis","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9901999831199646,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9857000112533569,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/base-station","display_name":"Base station","score":0.7277606725692749},{"id":"https://openalex.org/keywords/poisson-distribution","display_name":"Poisson distribution","score":0.719584584236145},{"id":"https://openalex.org/keywords/distribution","display_name":"Distribution (mathematics)","score":0.6923259496688843},{"id":"https://openalex.org/keywords/base","display_name":"Base (topology)","score":0.6113053560256958},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.5109524130821228},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.49360597133636475},{"id":"https://openalex.org/keywords/distribution-function","display_name":"Distribution function","score":0.45951807498931885},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.44904765486717224},{"id":"https://openalex.org/keywords/poisson-process","display_name":"Poisson process","score":0.4280741512775421},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4155275523662567},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3149864971637726},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2984178960323334},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.22204789519309998},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.1464257836341858},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12306559085845947},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.08676689863204956},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.08015567064285278}],"concepts":[{"id":"https://openalex.org/C68649174","wikidata":"https://www.wikidata.org/wiki/Q1379116","display_name":"Base station","level":2,"score":0.7277606725692749},{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.719584584236145},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.6923259496688843},{"id":"https://openalex.org/C42058472","wikidata":"https://www.wikidata.org/wiki/Q810214","display_name":"Base (topology)","level":2,"score":0.6113053560256958},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.5109524130821228},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.49360597133636475},{"id":"https://openalex.org/C186603090","wikidata":"https://www.wikidata.org/wiki/Q55505926","display_name":"Distribution function","level":2,"score":0.45951807498931885},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.44904765486717224},{"id":"https://openalex.org/C166144826","wikidata":"https://www.wikidata.org/wiki/Q1145117","display_name":"Poisson process","level":3,"score":0.4280741512775421},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4155275523662567},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3149864971637726},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2984178960323334},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.22204789519309998},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.1464257836341858},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12306559085845947},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.08676689863204956},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.08015567064285278},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/apcc.2016.7581498","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apcc.2016.7581498","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 22nd Asia-Pacific Conference on Communications (APCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.8299999833106995}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1818937361","https://openalex.org/W1999037997","https://openalex.org/W2005411736","https://openalex.org/W2058279460","https://openalex.org/W2131070905","https://openalex.org/W2142989636","https://openalex.org/W2150166076","https://openalex.org/W2167353407","https://openalex.org/W4250310729"],"related_works":["https://openalex.org/W4366563794","https://openalex.org/W1978359496","https://openalex.org/W2084538642","https://openalex.org/W4236668082","https://openalex.org/W2906621731","https://openalex.org/W2387184232","https://openalex.org/W1979678609","https://openalex.org/W3149607936","https://openalex.org/W2072419078","https://openalex.org/W1881396571"],"abstract_inverted_index":{"Recently,":[0],"the":[1,13,32,38,79,89,103,110,136,158,165],"rampant":[2],"enlarging":[3],"of":[4,15,21,34,40,75,91,105,112,120,129,140,160,167],"networks":[5],"scale":[6],"have":[7],"led":[8],"to":[9,48,62],"a":[10,148,155],"growth":[11],"in":[12,43,57,72,94],"number":[14],"mobile":[16,22],"base":[17,23,35,41,66,92,106],"stations.":[18],"The":[19],"research":[20],"stations":[24,42,93,107],"is":[25,46,69],"more":[26],"meaningful":[27],"under":[28],"this":[29],"circumstance.":[30],"In":[31],"study":[33],"station":[36,67],"distribution,":[37],"distribution":[39,68,71,82,90,104,122,133],"many":[44],"areas":[45],"subject":[47],"Poisson":[49,70,149],"distribution.":[50],"This":[51],"paper":[52],"takes":[53],"three":[54],"large":[55],"cities":[56,74,96],"Britain":[58],"as":[59],"an":[60],"example":[61],"explore":[63],"whether":[64],"their":[65],"big":[73],"UK.":[76],"We":[77],"simulate":[78],"actual":[80],"data":[81],"using":[83],"R.":[84,168],"By":[85],"comparing":[86],"and":[87,115,135],"analyzing":[88],"these":[95],"with":[97,164],"G":[98],"function,":[99,134],"we":[100],"conclude":[101],"that":[102],"differs":[108],"by":[109],"density":[111],"local":[113],"residents":[114],"other":[116],"geographical":[117],"features.":[118],"Values":[119],"accumulation":[121],"function":[123],"are":[124,144],"always":[125],"larger":[126],"than":[127,146],"values":[128],"nearest":[130,137],"neighbor":[131,138],"distance":[132,139],"observation":[141],"point":[142],"samples":[143],"shorter":[145],"for":[147],"process.":[150],"However,":[151],"when":[152],"r":[153],"reaches":[154],"high":[156],"level,":[157],"degree":[159],"aggregation":[161],"decreases":[162],"gradually":[163],"increasing":[166]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}