This work introduces a novel resource allocation technique for dealing with linear and periodically time‐varying power line channels when an orthogonal frequency division multiplexing scheme is applied. By exploiting the correlations within one cycle of the mains signal, among cycles of mains signal and a combination of these connections, the proposed technique can offer three distinct trade‐offs between computational complexity reduction and data‐rate loss. Numerical results, which are based on measured data, are used to analyse these trade‐offs, when these inter‐cycle and intra‐cycle relationship are taken into account. Also, we verify that the use of the normalised signal‐to‐noise ratio incurs very low performance degradation, and because of computational complexity rationale, its use is strongly recommended. Additionally, we show that those cases, in which the correlations among the cycles of the mains signal is relevant, offer the best trade‐off between computational complexity reduction and data‐rate loss. Finally, we show that the proposed technique can achieve the optimal data‐rate and offers substantial improvements in terms of computational complexity when compared with existing approaches, including the Institute of Electrical and Electronics Engineers 1901 standard. Copyright © 2015 John Wiley & Sons, Ltd.

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This work aims to investigate the suitability of finite impulse response and infinite impulse response digital filters for separating the clusters in a clustered Orthogonal Frequency Division Multiplexing schemes for power line communication systems. In this regards, we formulate the mathematical problem associated with issue. In the following, we shortly describe several digital filters that may be useful to fulfill the constraints associated with the problem. Based on numerical results and given digital filter design specifications, we reveal that the Chebyshev Type I and elliptic filters show the best trade of among signal noise ratio, date-rate, computational complexity (number of nonzero multipliers).