{"id":"https://openalex.org/W2130307169","doi":"https://doi.org/10.1109/icc.2014.6883632","title":"Asymptotic deployment gain: A new approach to characterize coverage probability","display_name":"Asymptotic deployment gain: A new approach to characterize coverage probability","publication_year":2014,"publication_date":"2014-06-01","ids":{"openalex":"https://openalex.org/W2130307169","doi":"https://doi.org/10.1109/icc.2014.6883632","mag":"2130307169"},"language":"en","primary_location":{"id":"doi:10.1109/icc.2014.6883632","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc.2014.6883632","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Communications (ICC)","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/A5084017113","display_name":"Anjin Guo","orcid":null},"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":"Anjin Guo","raw_affiliation_strings":["Department of Electrical Engineering, University of Notre Dame, Notre Dame, IN, USA","[Dept. of Electr. Eng., Univ. of Notre Dame, Notre Dame, IN, USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Notre Dame, Notre Dame, IN, USA","institution_ids":["https://openalex.org/I107639228"]},{"raw_affiliation_string":"[Dept. of Electr. Eng., Univ. of Notre Dame, Notre Dame, IN, USA]","institution_ids":["https://openalex.org/I107639228"]}]},{"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":["Department of Electrical Engineering, University of Notre Dame, Notre Dame, IN, USA","[Dept. of Electr. Eng., Univ. of Notre Dame, Notre Dame, IN, USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Notre Dame, Notre Dame, IN, USA","institution_ids":["https://openalex.org/I107639228"]},{"raw_affiliation_string":"[Dept. of Electr. Eng., Univ. of Notre Dame, Notre Dame, IN, USA]","institution_ids":["https://openalex.org/I107639228"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I107639228"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"2093","last_page":"2098"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10148","display_name":"Advanced MIMO Systems Optimization","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/T10148","display_name":"Advanced MIMO Systems Optimization","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/T11409","display_name":"Advanced Wireless Network Optimization","score":0.9894000291824341,"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":0.9876000285148621,"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/fading","display_name":"Fading","score":0.7036596536636353},{"id":"https://openalex.org/keywords/coverage-probability","display_name":"Coverage probability","score":0.6357119679450989},{"id":"https://openalex.org/keywords/point-process","display_name":"Point process","score":0.6130286455154419},{"id":"https://openalex.org/keywords/poisson-point-process","display_name":"Poisson point process","score":0.5724784135818481},{"id":"https://openalex.org/keywords/poisson-distribution","display_name":"Poisson distribution","score":0.5316206812858582},{"id":"https://openalex.org/keywords/outage-probability","display_name":"Outage probability","score":0.46801742911338806},{"id":"https://openalex.org/keywords/probability-density-function","display_name":"Probability density function","score":0.4651392996311188},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4593852162361145},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.45576390624046326},{"id":"https://openalex.org/keywords/probability-distribution","display_name":"Probability distribution","score":0.45110973715782166},{"id":"https://openalex.org/keywords/stochastic-geometry","display_name":"Stochastic geometry","score":0.4390414357185364},{"id":"https://openalex.org/keywords/symmetric-probability-distribution","display_name":"Symmetric probability distribution","score":0.434325635433197},{"id":"https://openalex.org/keywords/stochastic-process","display_name":"Stochastic process","score":0.42565488815307617},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3892526626586914},{"id":"https://openalex.org/keywords/statistical-physics","display_name":"Statistical physics","score":0.3889164924621582},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.13740211725234985}],"concepts":[{"id":"https://openalex.org/C81978471","wikidata":"https://www.wikidata.org/wiki/Q1196572","display_name":"Fading","level":3,"score":0.7036596536636353},{"id":"https://openalex.org/C2776292839","wikidata":"https://www.wikidata.org/wiki/Q5179217","display_name":"Coverage probability","level":3,"score":0.6357119679450989},{"id":"https://openalex.org/C88871306","wikidata":"https://www.wikidata.org/wiki/Q7208287","display_name":"Point process","level":2,"score":0.6130286455154419},{"id":"https://openalex.org/C16757284","wikidata":"https://www.wikidata.org/wiki/Q1145117","display_name":"Poisson point process","level":3,"score":0.5724784135818481},{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.5316206812858582},{"id":"https://openalex.org/C2778258436","wikidata":"https://www.wikidata.org/wiki/Q30672262","display_name":"Outage probability","level":4,"score":0.46801742911338806},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.4651392996311188},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4593852162361145},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.45576390624046326},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.45110973715782166},{"id":"https://openalex.org/C31243852","wikidata":"https://www.wikidata.org/wiki/Q1666739","display_name":"Stochastic geometry","level":2,"score":0.4390414357185364},{"id":"https://openalex.org/C72396439","wikidata":"https://www.wikidata.org/wiki/Q16000505","display_name":"Symmetric probability distribution","level":3,"score":0.434325635433197},{"id":"https://openalex.org/C8272713","wikidata":"https://www.wikidata.org/wiki/Q176737","display_name":"Stochastic process","level":2,"score":0.42565488815307617},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3892526626586914},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.3889164924621582},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.13740211725234985},{"id":"https://openalex.org/C44249647","wikidata":"https://www.wikidata.org/wiki/Q208498","display_name":"Confidence interval","level":2,"score":0.0},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc.2014.6883632","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc.2014.6883632","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Communications (ICC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W631335369","https://openalex.org/W2030907698","https://openalex.org/W2052197092","https://openalex.org/W2139730008","https://openalex.org/W2149170915","https://openalex.org/W2150166076","https://openalex.org/W2162109661","https://openalex.org/W2167353407","https://openalex.org/W2942537621"],"related_works":["https://openalex.org/W2949860582","https://openalex.org/W1605884181","https://openalex.org/W1985655499","https://openalex.org/W2406192116","https://openalex.org/W1674302630","https://openalex.org/W1573068833","https://openalex.org/W2947805744","https://openalex.org/W2314349990","https://openalex.org/W4389820878","https://openalex.org/W1500167156"],"abstract_inverted_index":{"In":[0,20],"cellular":[1],"network":[2],"models,":[3],"the":[4,38,47,50,56,63,72,75,80,89,95,108,116,119,126,130,134,141,145,153,156,159,166,170],"base":[5],"stations":[6],"are":[7,24],"usually":[8],"assumed":[9],"to":[10,66,79],"form":[11],"a":[12,15,60,86],"lattice":[13],"or":[14],"Poisson":[16],"point":[17,101,138,174],"process":[18,139],"(PPP).":[19],"reality,":[21],"however,":[22],"they":[23],"deployed":[25],"neither":[26],"fully":[27],"regularly":[28],"nor":[29],"completely":[30],"randomly.":[31],"Accordingly,":[32],"in":[33,83,92,140],"this":[34,112],"paper,":[35],"we":[36,114,164],"consider":[37],"very":[39],"general":[40],"class":[41],"of":[42,49,74,88,118,133,155,161],"motion-invariant":[43,100],"models":[44],"and":[45,136,169,176],"analyze":[46],"behavior":[48],"coverage":[51,81,131,146,162,167],"probability":[52,54,77,132,147],"(the":[53],"that":[55],"signal-to-interference-plus-noise-ratio":[57],"(SINR)":[58],"exceeds":[59],"threshold)":[61],"as":[62,85],"threshold":[64,90],"goes":[65],"zero.":[67],"We":[68],"show":[69],"that,":[70],"surprisingly,":[71],"slope":[73,104],"outage":[76],"(complementary":[78],"probability,":[82],"dB)":[84,93],"function":[87],"(also":[91],"is":[94,148],"same":[96],"for":[97,158,172],"essentially":[98],"all":[99],"processes.":[102],"The":[103],"merely":[105],"depends":[106],"on":[107],"fading":[109,177],"statistics.":[110],"Using":[111],"result,":[113],"introduce":[115],"notion":[117],"asymptotic":[120],"deployment":[121],"gain":[122],"(ADG),":[123],"which":[124],"characterizes":[125],"horizontal":[127],"gap":[128],"between":[129],"PPP":[135],"another":[137],"high-reliability":[142],"regime":[143],"(where":[144],"near":[149],"1).":[150],"To":[151],"demonstrate":[152],"usefulness":[154],"ADG":[157],"characterization":[160],"probabilities,":[163],"investigate":[165],"properties":[168],"ADGs":[171],"different":[173],"processes":[175],"statistics":[178],"by":[179],"simulations.":[180]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}