Optimal power line communications control policies using stochastic optimization

Abstract

Abstract-We present a general stochastic optimization framework for periodic systems and apply it to PLC networks with linear and time varying (LPTV) channels. Our method of solution operates online and does not assume prior knowledge about the distribution of channel states, but rather samples the LPTV channel to learn the information necessary to compute optimal control policies. We apply this framework to compute optimal bit allocations (rates) and transmit powers for each transmit period over an AC cycle, subject to requirements on average bit error rates and finite buffer sizes. The resultant policies find bit loadings that maximize throughput, while meeting BER requirements and preventing buffer overflow.

Optimised resource allocation under impulsive noise in power line communications

“…However, the data spread OFDM suffers degradation due to varying and frequency selective attenuation in the channel. A bit and power loading technique can be adopted to manage the power and bits loaded to each sub-carrier depending on the prevalent channel condition [4][5][6]. However, most of the aforementioned works during optimisation assume that the noise present in PLC is additive white Gaussian noise (AWGN) for simplifying the analysis; although Middleton class A impulsive noise (MCAIN) accurately realises the impulsive noise [7,8].…”