Exact capture probability analysis of GSC receivers over i.n.d. Rayleigh fading channels

Handle URI:
http://hdl.handle.net/10754/575815
Title:
Exact capture probability analysis of GSC receivers over i.n.d. Rayleigh fading channels
Authors:
Nam, Sungsik; Yang, Hongchuan; Alouini, Mohamed-Slim ( 0000-0003-4827-1793 ) ; Kim, Dongin
Abstract:
A closed-form expression of the capture probability of generalized selection combining (GSC) RAKE receivers was introduced in [1]. The idea behind this new performance metric is to quantify how the remaining set of uncombined paths affects the overall performance both in terms of loss in power and increase in interference levels. In this previous work, the assumption was made that the fading is both independent and identically distributed from path to path. However, the average strength of each path is different in reality. In order to derive a closed-form expression of the capture probability over independent and non-identically distributed (i.n.d.) fading channels, we need to derive the joint statistics of ordered non-identical exponential variates. With this motivation in mind, we first provide in this paper some new order statistics results in terms of both moment generating function (MGF) and probability density function (PDF) expressions under an i.n.d. assumption and then derive a new exact closed-form expression for the capture probability GSC RAKE receivers in this more realistic scenario. © 2013 IEEE.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Electrical Engineering Program; Communication Theory Lab
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
2013 IEEE International Symposium on Information Theory
Conference/Event name:
2013 IEEE International Symposium on Information Theory, ISIT 2013
Issue Date:
Jul-2013
DOI:
10.1109/ISIT.2013.6620187
ARXIV:
arXiv:1307.8199v2
Type:
Conference Paper
ISSN:
21578095
ISBN:
9781479904464
Appears in Collections:
Conference Papers; Electrical Engineering Program; Electrical Engineering Program; Communication Theory Lab; Communication Theory Lab; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorNam, Sungsiken
dc.contributor.authorYang, Hongchuanen
dc.contributor.authorAlouini, Mohamed-Slimen
dc.contributor.authorKim, Donginen
dc.date.accessioned2015-08-24T09:26:58Zen
dc.date.available2015-08-24T09:26:58Zen
dc.date.issued2013-07en
dc.identifier.isbn9781479904464en
dc.identifier.issn21578095en
dc.identifier.doi10.1109/ISIT.2013.6620187en
dc.identifier.urihttp://hdl.handle.net/10754/575815en
dc.description.abstractA closed-form expression of the capture probability of generalized selection combining (GSC) RAKE receivers was introduced in [1]. The idea behind this new performance metric is to quantify how the remaining set of uncombined paths affects the overall performance both in terms of loss in power and increase in interference levels. In this previous work, the assumption was made that the fading is both independent and identically distributed from path to path. However, the average strength of each path is different in reality. In order to derive a closed-form expression of the capture probability over independent and non-identically distributed (i.n.d.) fading channels, we need to derive the joint statistics of ordered non-identical exponential variates. With this motivation in mind, we first provide in this paper some new order statistics results in terms of both moment generating function (MGF) and probability density function (PDF) expressions under an i.n.d. assumption and then derive a new exact closed-form expression for the capture probability GSC RAKE receivers in this more realistic scenario. © 2013 IEEE.en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.titleExact capture probability analysis of GSC receivers over i.n.d. Rayleigh fading channelsen
dc.typeConference Paperen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.contributor.departmentElectrical Engineering Programen
dc.contributor.departmentCommunication Theory Laben
dc.identifier.journal2013 IEEE International Symposium on Information Theoryen
dc.conference.date7 July 2013 through 12 July 2013en
dc.conference.name2013 IEEE International Symposium on Information Theory, ISIT 2013en
dc.conference.locationIstanbulen
dc.contributor.institutionSKKU, South Koreaen
dc.contributor.institutionUVIC, Canadaen
dc.identifier.arxividarXiv:1307.8199v2en
kaust.authorAlouini, Mohamed-Slimen
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