TY - GEN
T1 - Outage probability of an amplify-and-forward relaying system in an interference-limited Weibull fading environment
AU - Choi, Kwang Sik
AU - Lee, Hyun Ho
AU - Ko, Young Chai
N1 - Copyright:
Copyright 2013 Elsevier B.V., All rights reserved.
PY - 2012
Y1 - 2012
N2 - 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.
AB - 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.
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U2 - 10.1109/ICWITS.2012.6417723
DO - 10.1109/ICWITS.2012.6417723
M3 - Conference contribution
AN - SCOPUS:84874241470
SN - 9781467309486
T3 - 2012 IEEE International Conference on Wireless Information Technology and Systems, ICWITS 2012
BT - 2012 IEEE International Conference on Wireless Information Technology and Systems, ICWITS 2012
T2 - 2012 IEEE International Conference on Wireless Information Technology and Systems, ICWITS 2012
Y2 - 11 November 2012 through 16 November 2012
ER -