{"id":"https://openalex.org/W4226269422","doi":"https://doi.org/10.1109/vtc2022-spring54318.2022.9860843","title":"Spatio-Temporal Analysis of SINR Meta Distribution for mmWave Heterogeneous Networks Under Geo/G/1 Queues","display_name":"Spatio-Temporal Analysis of SINR Meta Distribution for mmWave Heterogeneous Networks Under Geo/G/1 Queues","publication_year":2022,"publication_date":"2022-06-01","ids":{"openalex":"https://openalex.org/W4226269422","doi":"https://doi.org/10.1109/vtc2022-spring54318.2022.9860843"},"language":"en","primary_location":{"id":"doi:10.1109/vtc2022-spring54318.2022.9860843","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2022-spring54318.2022.9860843","pdf_url":null,"source":{"id":"https://openalex.org/S4363607744","display_name":"2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5000247939","display_name":"Le Yang","orcid":"https://orcid.org/0000-0001-5859-3900"},"institutions":[{"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":"Le Yang","raw_affiliation_strings":["Southeast University,National Mobile Communications Research Laboratory,Nanjing,China","National Mobile Communications Research Laboratory, Southeast University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southeast University,National Mobile Communications Research Laboratory,Nanjing,China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"National Mobile Communications Research Laboratory, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016793245","display_name":"Fu\u2010Chun Zheng","orcid":"https://orcid.org/0000-0003-3184-3054"},"institutions":[{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]},{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]},{"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":"Fu-Chun Zheng","raw_affiliation_strings":["Southeast University,National Mobile Communications Research Laboratory,Nanjing,China","School of Electronic and Information Engineering, Harbin Institute of Technology (Shenzhen), Shenzhen, China","National Mobile Communications Research Laboratory, Southeast University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southeast University,National Mobile Communications Research Laboratory,Nanjing,China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"School of Electronic and Information Engineering, Harbin Institute of Technology (Shenzhen), Shenzhen, China","institution_ids":["https://openalex.org/I158809036","https://openalex.org/I204983213"]},{"raw_affiliation_string":"National Mobile Communications Research Laboratory, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013079905","display_name":"Shi Jin","orcid":"https://orcid.org/0000-0003-0271-6021"},"institutions":[{"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":"Shi Jin","raw_affiliation_strings":["Southeast University,National Mobile Communications Research Laboratory,Nanjing,China","National Mobile Communications Research Laboratory, Southeast University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southeast University,National Mobile Communications Research Laboratory,Nanjing,China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"National Mobile Communications Research Laboratory, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"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/T10936","display_name":"Millimeter-Wave Propagation and Modeling","score":1.0,"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":1.0,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9966999888420105,"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":0.672967791557312},{"id":"https://openalex.org/keywords/stochastic-geometry","display_name":"Stochastic geometry","score":0.6589533090591431},{"id":"https://openalex.org/keywords/beamforming","display_name":"Beamforming","score":0.5645359754562378},{"id":"https://openalex.org/keywords/point-process","display_name":"Point process","score":0.56236732006073},{"id":"https://openalex.org/keywords/queueing-theory","display_name":"Queueing theory","score":0.54926997423172},{"id":"https://openalex.org/keywords/coverage-probability","display_name":"Coverage probability","score":0.48671749234199524},{"id":"https://openalex.org/keywords/poisson-point-process","display_name":"Poisson point process","score":0.48100170493125916},{"id":"https://openalex.org/keywords/path-loss","display_name":"Path loss","score":0.45641499757766724},{"id":"https://openalex.org/keywords/randomness","display_name":"Randomness","score":0.44562849402427673},{"id":"https://openalex.org/keywords/signal-to-interference-plus-noise-ratio","display_name":"Signal-to-interference-plus-noise ratio","score":0.4428979158401489},{"id":"https://openalex.org/keywords/non-line-of-sight-propagation","display_name":"Non-line-of-sight propagation","score":0.4300293028354645},{"id":"https://openalex.org/keywords/base-station","display_name":"Base station","score":0.4231830835342407},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3571224808692932},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3493436872959137},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.30039313435554504},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.24924716353416443},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21183574199676514},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15151438117027283},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.13638567924499512},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10153946280479431},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.09231716394424438}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.672967791557312},{"id":"https://openalex.org/C31243852","wikidata":"https://www.wikidata.org/wiki/Q1666739","display_name":"Stochastic geometry","level":2,"score":0.6589533090591431},{"id":"https://openalex.org/C54197355","wikidata":"https://www.wikidata.org/wiki/Q5782992","display_name":"Beamforming","level":2,"score":0.5645359754562378},{"id":"https://openalex.org/C88871306","wikidata":"https://www.wikidata.org/wiki/Q7208287","display_name":"Point process","level":2,"score":0.56236732006073},{"id":"https://openalex.org/C22684755","wikidata":"https://www.wikidata.org/wiki/Q847526","display_name":"Queueing theory","level":2,"score":0.54926997423172},{"id":"https://openalex.org/C2776292839","wikidata":"https://www.wikidata.org/wiki/Q5179217","display_name":"Coverage probability","level":3,"score":0.48671749234199524},{"id":"https://openalex.org/C16757284","wikidata":"https://www.wikidata.org/wiki/Q1145117","display_name":"Poisson point process","level":3,"score":0.48100170493125916},{"id":"https://openalex.org/C194273485","wikidata":"https://www.wikidata.org/wiki/Q1478845","display_name":"Path loss","level":3,"score":0.45641499757766724},{"id":"https://openalex.org/C125112378","wikidata":"https://www.wikidata.org/wiki/Q176640","display_name":"Randomness","level":2,"score":0.44562849402427673},{"id":"https://openalex.org/C98824394","wikidata":"https://www.wikidata.org/wiki/Q4035626","display_name":"Signal-to-interference-plus-noise ratio","level":3,"score":0.4428979158401489},{"id":"https://openalex.org/C154910267","wikidata":"https://www.wikidata.org/wiki/Q1740982","display_name":"Non-line-of-sight propagation","level":3,"score":0.4300293028354645},{"id":"https://openalex.org/C68649174","wikidata":"https://www.wikidata.org/wiki/Q1379116","display_name":"Base station","level":2,"score":0.4231830835342407},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3571224808692932},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3493436872959137},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.30039313435554504},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.24924716353416443},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21183574199676514},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15151438117027283},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.13638567924499512},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10153946280479431},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.09231716394424438},{"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/C44249647","wikidata":"https://www.wikidata.org/wiki/Q208498","display_name":"Confidence interval","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vtc2022-spring54318.2022.9860843","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2022-spring54318.2022.9860843","pdf_url":null,"source":{"id":"https://openalex.org/S4363607744","display_name":"2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1567643386","https://openalex.org/W1640283668","https://openalex.org/W2006166592","https://openalex.org/W2031858701","https://openalex.org/W2094040025","https://openalex.org/W2112558405","https://openalex.org/W2116334496","https://openalex.org/W2128145324","https://openalex.org/W2417785571","https://openalex.org/W2559744077","https://openalex.org/W2561715836","https://openalex.org/W2605261135","https://openalex.org/W2614764375","https://openalex.org/W2736208033","https://openalex.org/W2769047447","https://openalex.org/W2810595840","https://openalex.org/W2914116747","https://openalex.org/W2962815534","https://openalex.org/W2962926283","https://openalex.org/W2963262497","https://openalex.org/W2963436339","https://openalex.org/W2963947535","https://openalex.org/W3058225443","https://openalex.org/W3087367170","https://openalex.org/W3099823693","https://openalex.org/W3105610356","https://openalex.org/W6783229660"],"related_works":["https://openalex.org/W1674302630","https://openalex.org/W1985655499","https://openalex.org/W1605884181","https://openalex.org/W2406192116","https://openalex.org/W1573068833","https://openalex.org/W1500167156","https://openalex.org/W2339070281","https://openalex.org/W2228745896","https://openalex.org/W2949301777","https://openalex.org/W2558244751"],"abstract_inverted_index":{"A":[0],"fine-grained":[1],"analysis":[2],"of":[3,20,63,88,101,130],"network":[4,133,146],"performance":[5],"is":[6,111],"crucial":[7],"for":[8,71],"system":[9],"design.":[10],"In":[11],"this":[12],"paper,":[13],"we":[14,52],"focus":[15],"on":[16,107,144],"the":[17,21,25,30,54,60,82,86,89,97,108,114,128,131,137,141,145],"meta":[18,109,115],"distribution":[19,110,116],"signal-to-interference-plus-noise-ratio":[22],"(SINR)":[23],"in":[24,34,120],"mmWave":[26,64],"heterogeneous":[27],"networks":[28],"where":[29],"base":[31],"stations":[32],"(BS)":[33],"each":[35],"tier":[36],"are":[37,79],"modeled":[38],"as":[39,136],"a":[40,121],"Poisson":[41],"point":[42],"process":[43],"(PPP).":[44],"By":[45,95],"utilizing":[46],"stochastic":[47],"geometry":[48],"and":[49,56,73,76,113,140],"queueing":[50],"theory,":[51],"characterize":[53],"spatial":[55],"temporal":[57,98],"randomness":[58],"while":[59],"special":[61],"characteristics":[62],"communications,":[65],"including":[66],"different":[67],"path":[68],"loss":[69],"laws":[70],"line-of-sight":[72],"non-line-of-sight":[74],"links":[75],"directional":[77],"beamforming,":[78],"incorporated":[80],"into":[81,103],"analysis.":[83],"We":[84],"derive":[85],"moments":[87],"conditional":[90],"successful":[91],"transmission":[92],"probability":[93],"(STP).":[94],"taking":[96],"random":[99],"arrival":[100],"traffic":[102],"consideration,":[104],"an":[105],"equation":[106],"formulated":[112],"can":[117],"be":[118],"obtained":[119],"recursive":[122],"manner.":[123],"The":[124],"numerical":[125],"results":[126],"reveal":[127],"impact":[129],"key":[132],"parameters,":[134],"such":[135],"SINR":[138],"threshold":[139],"blockage":[142],"parameter,":[143],"performance.":[147]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
