{"id":"https://openalex.org/W4206574228","doi":"https://doi.org/10.1109/tcomm.2021.3135532","title":"Intelligent Optimization of Base Station Array Orientations via Scenario-Specific Modeling","display_name":"Intelligent Optimization of Base Station Array Orientations via Scenario-Specific Modeling","publication_year":2021,"publication_date":"2021-12-14","ids":{"openalex":"https://openalex.org/W4206574228","doi":"https://doi.org/10.1109/tcomm.2021.3135532"},"language":"en","primary_location":{"id":"doi:10.1109/tcomm.2021.3135532","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcomm.2021.3135532","pdf_url":null,"source":{"id":"https://openalex.org/S196647941","display_name":"IEEE Transactions on Communications","issn_l":"0090-6778","issn":["0090-6778","1558-0857"],"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 Transactions on 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/A5044838579","display_name":"Weiliang He","orcid":"https://orcid.org/0000-0002-8882-480X"},"institutions":[{"id":"https://openalex.org/I4210155350","display_name":"Purple Mountain Laboratories","ror":"https://ror.org/04zcbk583","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210155350"]},{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Weiliang He","raw_affiliation_strings":["National Mobile Communications Research Laboratory, School of Information Science and Engineering, Southeast University, Nanjing, China","Purple Mountain Laboratories, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"National Mobile Communications Research Laboratory, School of Information Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"Purple Mountain Laboratories, Nanjing, China","institution_ids":["https://openalex.org/I4210155350"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100439698","display_name":"Cheng Zhang","orcid":"https://orcid.org/0000-0003-2663-4207"},"institutions":[{"id":"https://openalex.org/I4210155350","display_name":"Purple Mountain Laboratories","ror":"https://ror.org/04zcbk583","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210155350"]},{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Zhang","raw_affiliation_strings":["National Mobile Communications Research Laboratory, School of Information Science and Engineering, Southeast University, Nanjing, China","Purple Mountain Laboratories, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"National Mobile Communications Research Laboratory, School of Information Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"Purple Mountain Laboratories, Nanjing, China","institution_ids":["https://openalex.org/I4210155350"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056225611","display_name":"Yongming Huang","orcid":"https://orcid.org/0009-0009-2545-2875"},"institutions":[{"id":"https://openalex.org/I4210155350","display_name":"Purple Mountain Laboratories","ror":"https://ror.org/04zcbk583","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210155350"]},{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongming Huang","raw_affiliation_strings":["National Mobile Communications Research Laboratory, School of Information Science and Engineering, Southeast University, Nanjing, China","Purple Mountain Laboratories, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"National Mobile Communications Research Laboratory, School of Information Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"Purple Mountain Laboratories, Nanjing, China","institution_ids":["https://openalex.org/I4210155350"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072916702","display_name":"Xiaohu You","orcid":"https://orcid.org/0000-0002-0809-8511"},"institutions":[{"id":"https://openalex.org/I4210155350","display_name":"Purple Mountain Laboratories","ror":"https://ror.org/04zcbk583","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210155350"]},{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohu You","raw_affiliation_strings":["National Mobile Communications Research Laboratory, School of Information Science and Engineering, Southeast University, Nanjing, China","Purple Mountain Laboratories, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"National Mobile Communications Research Laboratory, School of Information Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"Purple Mountain Laboratories, Nanjing, China","institution_ids":["https://openalex.org/I4210155350"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5044838579"],"corresponding_institution_ids":["https://openalex.org/I4210155350","https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":0.4048,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.62299184,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"70","issue":"3","first_page":"2117","last_page":"2130"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10936","display_name":"Millimeter-Wave Propagation and Modeling","score":0.9998000264167786,"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":0.9998000264167786,"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9997000098228455,"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/T13905","display_name":"Telecommunications and Broadcasting Technologies","score":0.9926000237464905,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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":0.658344566822052},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.54630446434021},{"id":"https://openalex.org/keywords/base-station","display_name":"Base station","score":0.4700276553630829},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.44677048921585083},{"id":"https://openalex.org/keywords/user-equipment","display_name":"User equipment","score":0.425086110830307},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4133721590042114},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.37729060649871826},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36074742674827576},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.17103898525238037}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.658344566822052},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.54630446434021},{"id":"https://openalex.org/C68649174","wikidata":"https://www.wikidata.org/wiki/Q1379116","display_name":"Base station","level":2,"score":0.4700276553630829},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.44677048921585083},{"id":"https://openalex.org/C2781327853","wikidata":"https://www.wikidata.org/wiki/Q3552547","display_name":"User equipment","level":3,"score":0.425086110830307},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4133721590042114},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.37729060649871826},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36074742674827576},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.17103898525238037}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcomm.2021.3135532","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcomm.2021.3135532","pdf_url":null,"source":{"id":"https://openalex.org/S196647941","display_name":"IEEE Transactions on Communications","issn_l":"0090-6778","issn":["0090-6778","1558-0857"],"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 Transactions on Communications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.49000000953674316}],"awards":[{"id":"https://openalex.org/G4152119378","display_name":null,"funder_award_id":"61720106003","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5540418478","display_name":null,"funder_award_id":"2018YFB1800801","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G561333141","display_name":null,"funder_award_id":"BK20190337","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G584858438","display_name":null,"funder_award_id":"61901107","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"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W838780744","https://openalex.org/W1563514322","https://openalex.org/W1677182931","https://openalex.org/W1849489850","https://openalex.org/W1967738452","https://openalex.org/W2034420299","https://openalex.org/W2113796768","https://openalex.org/W2117206394","https://openalex.org/W2146400449","https://openalex.org/W2159995098","https://openalex.org/W2218593314","https://openalex.org/W2238937638","https://openalex.org/W2398409936","https://openalex.org/W2511771752","https://openalex.org/W2514539426","https://openalex.org/W2540567230","https://openalex.org/W2595982264","https://openalex.org/W2615358882","https://openalex.org/W2730198753","https://openalex.org/W2736348906","https://openalex.org/W2796047239","https://openalex.org/W2807731816","https://openalex.org/W2904505555","https://openalex.org/W2909753723","https://openalex.org/W2916991616","https://openalex.org/W2927073559","https://openalex.org/W2954689790","https://openalex.org/W2963408914","https://openalex.org/W2963504849","https://openalex.org/W2963643599","https://openalex.org/W2966860555","https://openalex.org/W2968782695","https://openalex.org/W2990994567","https://openalex.org/W3003816353","https://openalex.org/W3008026851","https://openalex.org/W3011852199","https://openalex.org/W3013594094","https://openalex.org/W3081692024","https://openalex.org/W3086256550","https://openalex.org/W3100723973","https://openalex.org/W3105281589","https://openalex.org/W3119528261","https://openalex.org/W3180128748","https://openalex.org/W4312782672","https://openalex.org/W6684770997"],"related_works":["https://openalex.org/W4239286941","https://openalex.org/W2088845016","https://openalex.org/W589102260","https://openalex.org/W1966421350","https://openalex.org/W4226210192","https://openalex.org/W2464309386","https://openalex.org/W4389401745","https://openalex.org/W3200903575","https://openalex.org/W4378841793","https://openalex.org/W4323022415"],"abstract_inverted_index":{"Fifth-generation":[0],"(5G)":[1],"wireless":[2],"communications":[3],"confront":[4],"explosive":[5],"growth":[6],"in":[7,26,49,179],"mobile":[8],"data":[9,63],"demand":[10,54],"and":[11,47,59,72,125,143,176,186],"massive":[12],"intensive":[13],"user":[14],"equipment":[15],"(UE)":[16],"connections.":[17],"The":[18],"optimization":[19,81],"of":[20,62,93,120,188],"base":[21],"station":[22],"(BS)":[23],"array":[24,141,167],"orientations":[25,142,168],"large-scale":[27],"networks":[28,182],"can":[29],"provide":[30],"high":[31],"potential":[32],"performance":[33],"gain":[34],"to":[35,52,83,107,137,147,164],"meet":[36],"these":[37],"requirements.":[38],"However,":[39],"traditional":[40],"schemes":[41],"are":[42],"highly":[43],"dependent":[44],"on":[45,55,153],"experience":[46],"difficult":[48],"implementation":[50],"due":[51],"their":[53],"repeated":[56],"drive":[57,95,195],"tests":[58,178],"large":[60],"amounts":[61],"samples.":[64],"In":[65,113],"this":[66],"paper,":[67],"via":[68,115,169],"exploiting":[69],"UE":[70],"locations":[71],"channel":[73,111,145],"direction":[74],"information,":[75],"we":[76,129],"propose":[77,130],"an":[78,157],"intelligent":[79],"network":[80,87,123,135,149,171],"framework":[82],"maximize":[84],"the":[85,91,148,154,184],"long-term":[86],"rate":[88],"performance.":[89,150],"For":[90],"augmentation":[92],"limited":[94,194],"test":[96,196],"data,":[97],"a":[98,109,116,131],"deep":[99,133],"Gaussian":[100],"process":[101],"regression":[102],"(DGPR)":[103],"model":[104],"is":[105,162],"designed":[106],"construct":[108],"scenario-specific":[110,155],"modeling.":[112],"addition,":[114],"domain-knowledge":[117],"driven":[118],"fusion":[119],"convolutional":[121],"neural":[122,134,170],"(CNN)":[124],"multi-layer":[126],"perceptron":[127],"(MLP),":[128],"multi-branch":[132],"(DNN)":[136],"accurately":[138],"map":[139],"BS":[140,166],"concise":[144],"measurements":[146],"Finally,":[151],"based":[152],"modeling,":[156],"efficient":[158],"gradient":[159],"search":[160],"approach":[161],"proposed":[163,190],"optimize":[165],"(NN)":[172],"backpropagation.":[173],"Both":[174],"simulations":[175],"field":[177],"5G":[180],"experimental":[181],"validate":[183],"effectiveness":[185],"efficiency":[187],"our":[189],"framework,":[191],"especially":[192],"with":[193],"data.":[197]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}