{"id":"https://openalex.org/W2784099167","doi":"https://doi.org/10.1109/glocom.2017.8254189","title":"The Meta Distribution of the SINR in mm-Wave D2D Networks","display_name":"The Meta Distribution of the SINR in mm-Wave D2D Networks","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2784099167","doi":"https://doi.org/10.1109/glocom.2017.8254189","mag":"2784099167"},"language":"en","primary_location":{"id":"doi:10.1109/glocom.2017.8254189","is_oa":false,"landing_page_url":"https://doi.org/10.1109/glocom.2017.8254189","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2017 - 2017 IEEE Global Communications Conference","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/A5010826342","display_name":"Na Deng","orcid":"https://orcid.org/0000-0002-9565-559X"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Na Deng","raw_affiliation_strings":["School of Information & Communication Engineering, Dalian University of Technology, Dalian, Liaoning, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information & Communication Engineering, Dalian University of Technology, Dalian, Liaoning, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003896287","display_name":"Martin Haenggi","orcid":"https://orcid.org/0000-0001-8547-0607"},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Martin Haenggi","raw_affiliation_strings":["Dept. of Electrical Engineering, University of Notre Dame, Notre Dame, IN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electrical Engineering, University of Notre Dame, Notre Dame, IN, USA","institution_ids":["https://openalex.org/I107639228"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":7,"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":0.9998999834060669,"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":0.9998999834060669,"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":0.9984999895095825,"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/T10262","display_name":"Microwave Engineering and Waveguides","score":0.9814000129699707,"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/poisson-point-process","display_name":"Poisson point process","score":0.708980917930603},{"id":"https://openalex.org/keywords/signal-to-interference-plus-noise-ratio","display_name":"Signal-to-interference-plus-noise ratio","score":0.6329326629638672},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.5885249376296997},{"id":"https://openalex.org/keywords/poisson-distribution","display_name":"Poisson distribution","score":0.5430071949958801},{"id":"https://openalex.org/keywords/realization","display_name":"Realization (probability)","score":0.5313563942909241},{"id":"https://openalex.org/keywords/distribution","display_name":"Distribution (mathematics)","score":0.5215941667556763},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5171777009963989},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4949902892112732},{"id":"https://openalex.org/keywords/point-process","display_name":"Point process","score":0.4438306391239166},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.42855218052864075},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4162614941596985},{"id":"https://openalex.org/keywords/antenna","display_name":"Antenna (radio)","score":0.4113706350326538},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.40005746483802795},{"id":"https://openalex.org/keywords/statistical-physics","display_name":"Statistical physics","score":0.3946576714515686},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3864314556121826},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3244149386882782},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.28263336420059204},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.26138007640838623},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.24373680353164673},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.24237895011901855},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.23074331879615784},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.1270664930343628},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.10087341070175171}],"concepts":[{"id":"https://openalex.org/C16757284","wikidata":"https://www.wikidata.org/wiki/Q1145117","display_name":"Poisson point process","level":3,"score":0.708980917930603},{"id":"https://openalex.org/C98824394","wikidata":"https://www.wikidata.org/wiki/Q4035626","display_name":"Signal-to-interference-plus-noise ratio","level":3,"score":0.6329326629638672},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.5885249376296997},{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.5430071949958801},{"id":"https://openalex.org/C2781089630","wikidata":"https://www.wikidata.org/wiki/Q21856745","display_name":"Realization (probability)","level":2,"score":0.5313563942909241},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.5215941667556763},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5171777009963989},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4949902892112732},{"id":"https://openalex.org/C88871306","wikidata":"https://www.wikidata.org/wiki/Q7208287","display_name":"Point process","level":2,"score":0.4438306391239166},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.42855218052864075},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4162614941596985},{"id":"https://openalex.org/C21822782","wikidata":"https://www.wikidata.org/wiki/Q131214","display_name":"Antenna (radio)","level":2,"score":0.4113706350326538},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.40005746483802795},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.3946576714515686},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3864314556121826},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3244149386882782},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.28263336420059204},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.26138007640838623},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.24373680353164673},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.24237895011901855},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.23074331879615784},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.1270664930343628},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.10087341070175171},{"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/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/glocom.2017.8254189","is_oa":false,"landing_page_url":"https://doi.org/10.1109/glocom.2017.8254189","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2017 - 2017 IEEE Global Communications Conference","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":14,"referenced_works":["https://openalex.org/W631335369","https://openalex.org/W1584244501","https://openalex.org/W1640283668","https://openalex.org/W1953553238","https://openalex.org/W1972485395","https://openalex.org/W2001375344","https://openalex.org/W2040921991","https://openalex.org/W2094040025","https://openalex.org/W2157005274","https://openalex.org/W2368600038","https://openalex.org/W2550006988","https://openalex.org/W2551882620","https://openalex.org/W2736208033","https://openalex.org/W3101216873"],"related_works":["https://openalex.org/W2225046392","https://openalex.org/W4298392797","https://openalex.org/W1939724041","https://openalex.org/W4252323550","https://openalex.org/W2065735671","https://openalex.org/W2557614388","https://openalex.org/W1979678609","https://openalex.org/W4235306759","https://openalex.org/W2834438054","https://openalex.org/W4302594354"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"the":[3,7,23,26,34,38,48,55,62,73,79,84,96,104,107,113,119,123,127,130,135,139,151,157],"meta":[4,97,136],"distribution":[5,24,29,82,137,141],"of":[6,25,33,50,78,106,134,153,159],"signal-to-":[8],"interference-plus-noise":[9],"ratio":[10],"(SINR)":[11],"in":[12,89,129],"millimeter":[13],"wave":[14],"(mm-wave)":[15],"device-to-device":[16],"(D2D)":[17],"networks":[18],"is":[19,22,58,115],"studied,":[20],"which":[21],"conditional":[27,80],"SINR":[28,81],"given":[30,83],"a":[31,66],"realization":[32],"point":[35,68,85],"process":[36,69,86],"modeling":[37],"network.":[39,131],"This":[40],"analysis":[41],"provides":[42],"much":[43],"more":[44],"fine-grained":[45],"information":[46],"on":[47,156],"performance":[49,158],"individual":[51],"links":[52],"than":[53],"just":[54],"mean":[56],"that":[57,102],"usually":[59],"evaluated.":[60],"Modeling":[61],"D2D":[63,160],"transmitters":[64],"as":[65],"Poisson":[67],"(PPP)":[70],"and":[71,118],"considering":[72],"unique":[74],"mm-wave":[75,154],"features,":[76],"moments":[77],"are":[87,142],"derived":[88],"order":[90],"to":[91,111],"calculate":[92],"analytical":[93],"expression":[94],"for":[95],"distribution.":[98],"It":[99],"turns":[100],"out":[101],"when":[103],"size":[105],"antenna":[108],"array":[109],"tends":[110],"infinity,":[112],"noise":[114],"totally":[116],"suppressed":[117],"node":[120],"density":[121],"becomes":[122],"dominating":[124],"factor":[125],"affecting":[126],"interference":[128],"Closed-form":[132],"approximations":[133],"with":[138],"beta":[140],"also":[143],"provided.":[144],"Numerical":[145],"results":[146],"give":[147],"interesting":[148],"insights":[149],"into":[150],"effects":[152],"features":[155],"communication.":[161]},"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":4},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}