{"id":"https://openalex.org/W2276436981","doi":"https://doi.org/10.1109/vtcfall.2015.7391157","title":"Stochastic Geometry Modeling of Cellular Uplink Power Control under Composite Rayleigh-Lognormal Fading","display_name":"Stochastic Geometry Modeling of Cellular Uplink Power Control under Composite Rayleigh-Lognormal Fading","publication_year":2015,"publication_date":"2015-09-01","ids":{"openalex":"https://openalex.org/W2276436981","doi":"https://doi.org/10.1109/vtcfall.2015.7391157","mag":"2276436981"},"language":"en","primary_location":{"id":"doi:10.1109/vtcfall.2015.7391157","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtcfall.2015.7391157","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 82nd Vehicular Technology Conference (VTC2015-Fall)","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/A5002408881","display_name":"Prasanna Herath","orcid":"https://orcid.org/0000-0002-6745-6876"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Prasanna Herath","raw_affiliation_strings":["Telecommunications Research Laboratories, Edmonton","University of Alberta, Edmonton"],"affiliations":[{"raw_affiliation_string":"Telecommunications Research Laboratories, Edmonton","institution_ids":[]},{"raw_affiliation_string":"University of Alberta, Edmonton","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060881187","display_name":"Chintha Tellambura","orcid":"https://orcid.org/0000-0002-9419-7195"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Chintha Tellambura","raw_affiliation_strings":["University of Alberta, Edmonton"],"affiliations":[{"raw_affiliation_string":"University of Alberta, Edmonton","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030687850","display_name":"Witold A. Krzymie\u0144","orcid":"https://orcid.org/0000-0002-2799-4733"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Witold A. Krzymien","raw_affiliation_strings":["Telecommunications Research Laboratories, Edmonton","University of Alberta, Edmonton"],"affiliations":[{"raw_affiliation_string":"Telecommunications Research Laboratories, Edmonton","institution_ids":[]},{"raw_affiliation_string":"University of Alberta, Edmonton","institution_ids":["https://openalex.org/I154425047"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5002408881"],"corresponding_institution_ids":["https://openalex.org/I154425047"],"apc_list":null,"apc_paid":null,"fwci":1.6056,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.85793578,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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":0.9993000030517578,"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/T10796","display_name":"Cooperative Communication and Network Coding","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/path-loss","display_name":"Path loss","score":0.7553642988204956},{"id":"https://openalex.org/keywords/rayleigh-fading","display_name":"Rayleigh fading","score":0.7529895901679993},{"id":"https://openalex.org/keywords/shadow-mapping","display_name":"Shadow mapping","score":0.7032187581062317},{"id":"https://openalex.org/keywords/stochastic-geometry","display_name":"Stochastic geometry","score":0.6500988006591797},{"id":"https://openalex.org/keywords/telecommunications-link","display_name":"Telecommunications link","score":0.632678747177124},{"id":"https://openalex.org/keywords/coverage-probability","display_name":"Coverage probability","score":0.6265112161636353},{"id":"https://openalex.org/keywords/log-distance-path-loss-model","display_name":"Log-distance path loss model","score":0.5870348215103149},{"id":"https://openalex.org/keywords/log-normal-distribution","display_name":"Log-normal distribution","score":0.5808020830154419},{"id":"https://openalex.org/keywords/power-control","display_name":"Power control","score":0.5499783754348755},{"id":"https://openalex.org/keywords/fading","display_name":"Fading","score":0.5247868895530701},{"id":"https://openalex.org/keywords/transmitter-power-output","display_name":"Transmitter power output","score":0.5148848295211792},{"id":"https://openalex.org/keywords/signal-to-interference-plus-noise-ratio","display_name":"Signal-to-interference-plus-noise ratio","score":0.46274760365486145},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.45854049921035767},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.434786319732666},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4191087484359741},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.4032549560070038},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3456825017929077},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.3317989706993103},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.32786500453948975},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.25378480553627014},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.14601072669029236},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.11199477314949036},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.08255007863044739},{"id":"https://openalex.org/keywords/transmitter","display_name":"Transmitter","score":0.08238822221755981},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.076850026845932}],"concepts":[{"id":"https://openalex.org/C194273485","wikidata":"https://www.wikidata.org/wiki/Q1478845","display_name":"Path loss","level":3,"score":0.7553642988204956},{"id":"https://openalex.org/C56985126","wikidata":"https://www.wikidata.org/wiki/Q854039","display_name":"Rayleigh fading","level":4,"score":0.7529895901679993},{"id":"https://openalex.org/C116544410","wikidata":"https://www.wikidata.org/wiki/Q1478122","display_name":"Shadow mapping","level":2,"score":0.7032187581062317},{"id":"https://openalex.org/C31243852","wikidata":"https://www.wikidata.org/wiki/Q1666739","display_name":"Stochastic geometry","level":2,"score":0.6500988006591797},{"id":"https://openalex.org/C138660444","wikidata":"https://www.wikidata.org/wiki/Q5607897","display_name":"Telecommunications link","level":2,"score":0.632678747177124},{"id":"https://openalex.org/C2776292839","wikidata":"https://www.wikidata.org/wiki/Q5179217","display_name":"Coverage probability","level":3,"score":0.6265112161636353},{"id":"https://openalex.org/C97316775","wikidata":"https://www.wikidata.org/wiki/Q3575778","display_name":"Log-distance path loss model","level":4,"score":0.5870348215103149},{"id":"https://openalex.org/C151620405","wikidata":"https://www.wikidata.org/wiki/Q826116","display_name":"Log-normal distribution","level":2,"score":0.5808020830154419},{"id":"https://openalex.org/C56685638","wikidata":"https://www.wikidata.org/wiki/Q2300474","display_name":"Power control","level":3,"score":0.5499783754348755},{"id":"https://openalex.org/C81978471","wikidata":"https://www.wikidata.org/wiki/Q1196572","display_name":"Fading","level":3,"score":0.5247868895530701},{"id":"https://openalex.org/C65422117","wikidata":"https://www.wikidata.org/wiki/Q358527","display_name":"Transmitter power output","level":4,"score":0.5148848295211792},{"id":"https://openalex.org/C98824394","wikidata":"https://www.wikidata.org/wiki/Q4035626","display_name":"Signal-to-interference-plus-noise ratio","level":3,"score":0.46274760365486145},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.45854049921035767},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.434786319732666},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4191087484359741},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.4032549560070038},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3456825017929077},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.3317989706993103},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.32786500453948975},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.25378480553627014},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.14601072669029236},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.11199477314949036},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.08255007863044739},{"id":"https://openalex.org/C47798520","wikidata":"https://www.wikidata.org/wiki/Q190157","display_name":"Transmitter","level":3,"score":0.08238822221755981},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.076850026845932},{"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/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/vtcfall.2015.7391157","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtcfall.2015.7391157","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 82nd Vehicular Technology Conference (VTC2015-Fall)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.714.6869","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.714.6869","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.ece.ualberta.ca/%7Echintha/resources/papers/2015/PrasannaVTC2015Fall.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W595252221","https://openalex.org/W631335369","https://openalex.org/W1981996428","https://openalex.org/W1984714570","https://openalex.org/W2056908709","https://openalex.org/W2102465185","https://openalex.org/W2118166339","https://openalex.org/W2149170915","https://openalex.org/W2150166076","https://openalex.org/W2168847332","https://openalex.org/W2313299119","https://openalex.org/W2610335499","https://openalex.org/W2801179766","https://openalex.org/W2963793432","https://openalex.org/W3105072513","https://openalex.org/W4235042061","https://openalex.org/W4300223101"],"related_works":["https://openalex.org/W1985655499","https://openalex.org/W2794570086","https://openalex.org/W2558244751","https://openalex.org/W2963123640","https://openalex.org/W4299643046","https://openalex.org/W2950331183","https://openalex.org/W2952424632","https://openalex.org/W2031858701","https://openalex.org/W2276436981","https://openalex.org/W2134752007"],"abstract_inverted_index":{"Power":[0],"control":[1,64],"for":[2],"uplink":[3],"transmission":[4],"in":[5],"a":[6,129],"randomly":[7],"laid-out":[8],"cellular":[9],"network":[10],"operating":[11],"over":[12],"an":[13,51],"environment":[14],"with":[15,68],"path":[16,43,113],"loss":[17,114],"and":[18,36,56,83,109],"composite":[19],"Rayleigh-lognormal":[20],"shadowing":[21,35,67,80,108,127],"is":[22],"investigated.":[23],"Each":[24],"mobile":[25],"station":[26],"(MS)":[27],"adjusts":[28],"its":[29],"transmit":[30],"power":[31,63],"to":[32,37],"completely":[33],"remove":[34],"partially":[38],"invert":[39],"the":[40,62,73,77,87,91,124],"effect":[41,89,125],"of":[42,79,81,107,112,126],"loss.":[44],"Using":[45],"stochastic":[46],"geometry":[47],"tools,":[48],"we":[49],"derive":[50],"approximate":[52],"coverage":[53,74,92,131],"probability":[54],"expression":[55],"validate":[57],"it":[58],"via":[59],"simulations.":[60],"With":[61],"scheme":[65],"considered,":[66],"lower":[69],"standard":[70],"deviation":[71],"improves":[72,115],"probability.":[75,93,132],"Also":[76],"severity":[78],"local":[82],"surrounding":[84],"environments":[85],"has":[86],"same":[88],"on":[90],"It":[94],"was":[95],"also":[96],"observed":[97],"that":[98],"at":[99,118],"low":[100],"signal-to-interference-plus-noise":[101],"ratio":[102],"(SINR)":[103],"thresholds,":[104],"complete":[105],"compensation":[106,111],"partial":[110],"coverage,":[116],"while":[117],"high":[119],"SINR":[120],"thresholds":[121],"inverting":[122],"only":[123],"gives":[128],"better":[130]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}