Capacity analysis of power line communication point‐to‐point and relay channels

Abstract

In this paper, we present a capacity analysis for broadband power line communication (PLC) channels, impaired by the Bernoulli-Gaussian impulsive noise, exploiting both orthogonal frequency division multiplexing (OFDM) and singlecarrier frequency-domain equalisation (SC-FDE) techniques. First, we investigate point-to-point communications and formulate the continuous signal model for OFDM and SC-FDE techniques in PLC environments and find the tight bounds derived for differential entropy of the non-Gaussian noise samples. Capacity bounds and a certain capacity result for pointto-point PLC systems are also computed. Then, we analyse the capacity in the presence of a relay terminal between the transmitter and the receiver. In this part, we assume correlated noises between the relay and the receiver and derive general upper bound and achievable rate using partial decode-and-forward coding strategy for PLC channels. We also show that the obtained bounds coincide in degraded and reversely degraded special cases. Finally, using two statistical divergences, we compare the distances of the Bernoulli-Gaussian and Middleton class A noise models from the normal distribution of their background part and show that the Middleton class A noise is nearer to the Gaussian background noise than the Bernoulli-Gaussian. Therefore, the capacity curve for Middleton class A noise is between the capacity for the Gaussian background noise and the obtained capacity for the Bernoulli-Gaussian model. The obtained capacity theorems are also illustrated numerically.

Hybrid PLC‐VLC channel model and spectral estimation using a nonparametric approach

“…It shows that, as the coherence bandwidth increases with the frequency, the DS decreases. The channel capacity in broadband PLC was analysed and presented by Sheikh‐Hosseini et al and Anatory et al It indicates that the channel capacity varies with the voltage level and with the environment. For example, for a PSD between −90 and −30 dBm/Hz, the channel capacity decreases by 20‐30 Mbps per branch, 14‐24 Mbps per branch, and 20‐25 Mbps per branch for a medium‐voltage, a low‐voltage, and an indoor channel, respectively.…”

On the capacity of additive white mixture Gaussian noise channels

“…By assuming that the noise state information is known at both transmitter and receiver terminals, the capacity of Middleton class A noise channel has been calculated in the study of Wiklundh et al Mutual information of BG noise channels has been bounded from both sides by Gaussianity assumption for the channel input and output in the works of Herath et al and Vu et al Under an average power constraint in the works of Vu et al, and Le et al, it was demonstrated that the capacity‐achieving input distribution of GM noise channels must be discrete with a finite number of mass points. Finally, in the study of Sheikh‐Hosseini et al, the bounds of differential entropy and capacity have been computed for the broadband point‐to‐point and relay PLC channels impaired by BG noise.…”

A novel modified genetic algorithm for cooperative multiuser detection with minimum transmitter power and SINR constraint

“…A parallel relay network is considered in [19] in which data rate maximization is analyzed. Using a pair of transmitter-receiver and single antenna as a relay, peer-to-peer communication is analyzed in [20,21]. Joint iterative power allocation and interference cancellation in spread spectrum networks is presented in [22] in which multiple hops and the amplify-and-forward (AF) relaying strategy are applied for both uplink and downlink.…”