Coded Adaptive Linear Precoded Discrete Multitone Over PLC Channel

TL;DR

This paper presents a coded adaptive LP-DMT system for power line communication that optimizes bit and energy allocation considering channel coding, demonstrating improved throughput over traditional DMT in multipath PLC channels.

Contribution

It introduces a novel bit and energy allocation algorithm for coded adaptive LP-DMT systems that incorporates channel coding gains, enhancing performance in PLC channels.

Findings

Coded adaptive LP-DMT outperforms coded DMT in throughput.

The proposed algorithm effectively utilizes channel coding gains.

Simulation confirms improved performance under power spectral density constraints.

Abstract

Discrete multitone modulation (DMT) systems exploit the capabilities of orthogonal subcarriers to cope efficiently with narrowband interference, high frequency attenuations and multipath fadings with the help of simple equalization filters. Adaptive linear precoded discrete multitone (LP-DMT) system is based on classical DMT, combined with a linear precoding component. In this paper, we investigate the bit and energy allocation algorithm of an adaptive LP-DMT system taking into account the channel coding scheme. A coded adaptive LPDMT system is presented in the power line communication (PLC) context with a loading algorithm which accommodates the channel coding gains in bit and energy calculations. The performance of a concatenated channel coding scheme, consisting of an inner Wei's 4-dimensional 16-states trellis code and an outer Reed-Solomon code, in combination with the proposed algorithm is analyzed. Theoretical coding gains are derived and simulation results are presented for a fixed target bit error rate in a multicarrier scenario under power spectral density constraint. Using a multipath model of PLC channel, it is shown that the proposed coded adaptive LP-DMT system performs better than coded DMT and can achieve higher throughput for PLC applications.