Performance analysis of DF cooperative relaying over bursty impulsive noise channel

Abstract

Abstract-In this article, we consider the performance analysis of a decode-and-forward (DF) cooperative relaying (CR) scheme over channels impaired by bursty impulsive noise. Although, Middleton class-A model and Bernoulli-Gaussian model give good results to generate a sample distribution of impulsive noise, they fail in replicating the bursty behavior of impulsive noise, as encountered for instance within power substations. To deal with that, we adopt a two-state Markov-Gaussian process for the noise distribution. For this channel, we evaluate the bit error rate (BER) performance of direct transmission (DT) and a DF relaying scheme using M-PSK modulation in the presence of Rayleigh fading with a maximum a posteriori (MAP) receiver. From the obtained results, it is seen that the DF CR scheme in bursty impulsive noise channel still achieves the space diversity and performs significantly better than DT under the same power consumption. Moreover, the proposed MAP receiver attains the lower bound derived for DF CR scheme, and leads to large performance gains compared to the conventional receiving criteria which were optimized for additive white Gaussian noise (AWGN) channel and memoryless impulsive noise channel.

Effect of Bursty Impulsive Noise on the Performance of Multi-Relay DF Cooperative Relaying Scheme

“…The BER formula in ( 8) is used to obtain the analytical results for SDFR scheme. To obtain the simulated BER, the LLR values for the source-relay links are obtained using (5) and the LLR values at the destination are obtained using (10). The BER performances are calculated for 2000 frames of 64, 800 information bits each against SN R. The SN R is defined as, SN R=ε{|x s,k | 2 }/σ 2 G , where σ 2 G is the Gaussian noise power.…”

“…In order to derive the analytical BER formula for the source-relay links, we assume that the receiver has the knowledge of the state s k and the variance of each state. Then, the average BER at the m-th relay is given by [10]…”

“…impulsive channels which cannot provide any information on noise time correlation, as observed in experimental measurements [3]. In this context, in [10] we provided a mathematical framework for the performance analysis of a single-relay DF CR scheme over bursty impulsive noise channel modeled by a two-state Markov-Gaussian (TSMG) [11] process. As an extension, in this paper, we generalize the performance analysis to the multirelay scenario.…”

Bayesian MMSE Estimation of a Gaussian Source in the Presence of Bursty Impulsive Noise

“…the inherent memory in the noise process. To address this, Markov chain models have been proposed [7], [8]; in order to better represent the impulsive noise characteristics. Hence, the impact on the performance gain, observed when the memory is exploited in the estimation process, must be evaluated.…”