Paper Info
Title
A new technique for analyzing asymptotic outage performance of diversity over lognormal fading channels
Abstract
Existing asymptotic analysis techniques fail to provide closed-form asymptotic outage probability expressions for lognormal fading channels due to the fact that lognormal fading channel distributions have an infinite diversity order. In this work, we develop a new analytical technique to study the asymptotic outage probability of maximum-ratio combining and equalgain combining over independent lognormal fading channels. The derived closed-form asymptotic expressions, which can be expressed in terms of the well-known Marcum-Q function, are accurate in high signal-to-noise ratio (SNR) regimes. The results reveal insights into the long-standing problem of asymptotic analyses for diversity systems over lognormal fading channels, and can help circumvent the time-consuming Monte Carlo simulation and numerical integration in large SNR region.
Year
DOI
Venue
2017
10.1109/CWIT.2017.7994815
2017 15th Canadian Workshop on Information Theory (CWIT)
Keywords
Field
DocType
equal-gain combining,Marcum-Q function,signal-to-noise ratio,time-consuming Monte Carlo simulation,numerical integration,SNR region,maximum-ratio combining,infinite diversity order,lognormal fading channel distributions,closed-form asymptotic outage probability expressions,asymptotic analysis techniques,asymptotic outage performance
Information theory,Statistical physics,Monte Carlo method,Fading,Numerical integration,Signal-to-noise ratio,Fading distribution,Statistics,Asymptotic analysis,Probability density function,Mathematics
Conference
ISBN
Citations 
PageRank 
978-1-5090-6027-6
0
0.34
References 
Authors
0
6
Name
Order
Citations
PageRank
Bingcheng Zhu1237.33
Julian Cheng21409145.12
Jun Yan3274.53
Jinyuan Wang400.34
Lenan Wu570062.18
Yongjin Wang6225.75