Paper Info
Title
Outage Probability Bounds of EGC Over Dual-Branch Non-Identically Distributed Independent Lognormal Fading Channels With Optimized Parameters
Abstract
Outage probability analysis of diversity reception over lognormal fading channels is challenging because the cumulative distribution function (CDF) of a sum of lognormal random variables (RVs) does not yield a closed-form expression. Furthermore, traditional asymptotic analysis techniques fail for lognormal fading channels. The well-applied approximation techniques, such as Fenton, Wilkinson, and Schwartz and Yeh approximations, become unreliable when the signal-to-noise ratio (SNR) is high. In this paper, we derive closed-form bounds of outage probability for dual-branch equal-gain combining system over non-identically distributed lognormal fading channels. The bounds are shown tight from low-to-high SNR regimes, which provides an efficient way to evaluate the EGC system without resorting to expensive Monte Carlo simulation or numerical integration. Furthermore, the new analytical expressions can be used to test at what SNR the existing approximation techniques become inaccurate, and can also be used as criteria for system design.
Year
DOI
Venue
2019
10.1109/TVT.2019.2923277
IEEE Transactions on Vehicular Technology
Keywords
Field
DocType
Power system reliability,Probability,Fading channels,Signal to noise ratio,Diversity reception,Antennas,Probability density function
Applied mathematics,Random variable,Monte Carlo method,Computer science,Signal-to-noise ratio,Electronic engineering,Cumulative distribution function,Independent and identically distributed random variables,Log-normal distribution,Probability density function,Asymptotic analysis
Journal
Volume
Issue
ISSN
68
8
0018-9545
Citations 
PageRank 
References 
1
0.35
0
Authors
4
Name
Order
Citations
PageRank
Zhiqiang Xiao116432.08
Bingcheng Zhu2237.33
Julian Cheng31409145.12
Yongjin Wang4225.75