JOURNAL ARTICLE

Outage probability of an amplify-and-forward relaying system in an interference-limited Weibull fading environment

Abstract

In the relay systems under interference channels, the overall system performance is more affected by co-channel interference (CCI) rather than by an additive white Gaussian noise (AWGN), due to the aggressive frequency reuse for high spectrum utilization [1]-[3]. Thus, it is required to better understand how the CCI affects the performance of relay systems. Recently, an enormous research has been conducted to analyze the performance of the interference-limited relay systems [1]-[3]. For example, the outage probabilities of amplify-and-forward (AF) and decode-and-forward (DF) relay systems have been derived in closed form when both the desired channel and interference channel undergo a Rayleigh fading [1], [2]. In [3] the outage performance has been derived for DF relaying system when the relay node is corrupted by Nakagami-m multiple CCIs and the destination node is suffered by AWGN. Meanwhile, it is known that a Weibull distributed modeling exhibits an good fit to experimental fading channel measurements for both indoor and outdoor environments with a reasonable physical basis given in [4] (cf. [5] and references therein). Based on these facts, we analyze the outage performance of the interference-limited AF relaying system, in which both the relay and destination nodes are subject to the arbitrary number of statistically independent and identically Weibull-distributed CCIs. In order to obtain the outage probability, we derive the cumulative density function (CDF) by exploiting the moment based estimators given in [6], which allows us to provide a simple, yet precise closed-form approximate expression for the outage probability of the AF relaying system.

Keywords:
Relay Additive white Gaussian noise Rayleigh fading Fading Weibull fading Nakagami distribution Interference (communication) Computer science Co-channel interference Node (physics) Channel (broadcasting) Weibull distribution Independent and identically distributed random variables Cumulative distribution function Probability density function Topology (electrical circuits) Electronic engineering Computer network Mathematics Statistics Engineering Random variable Electrical engineering Physics Power (physics)

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Citation History

Topics

Cooperative Communication and Network Coding
Physical Sciences →  Computer Science →  Computer Networks and Communications
Full-Duplex Wireless Communications
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Advanced MIMO Systems Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
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