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Low-Complexity OFDM Spectral Precoding by Kant, Shashi; Fodor, Gabor; Bengtsson, Mats; Göransson, Bo; Fischione, Carlo is a scholarly article available to read on EtoBox.

What is Low-Complexity OFDM Spectral Precoding about?

This paper proposes a new large-scale mask-compliant spectral precoder (LS-MSP) for orthogonal frequency division multiplexing systems. In this paper, we first consider a previously proposed mask-compliant spectral precoding scheme that utilizes a generic convex optimization solver which suffers from high computational complexity, notably in large-scale systems. To mitigate the complexity of computing the LS-MSP, we propose a divide-and-conquer approach that breaks the original problem into smaller rank 1 quadratic-constraint problems and each small problem yields closed-form solution. Based on these solutions, we develop three specialized first-order low-complexity algorithms, based on 1) projection on convex sets and 2) the alternating direction method of multipliers. We also develop an algorithm that capitalizes on the closed-form solutions for the rank 1 quadratic constraints, which is referred to as 3) semi-analytical spectral precoding. Numerical results show that the proposed LS-MSP techniques outperform previously proposed techniques in terms of the computational burden while complying with the spectrum mask. The results also indicate that 3) typically needs 3 iterations to

Author

Kant, Shashi; Fodor, Gabor; Bengtsson, Mats; Göransson, Bo; Fischione, Carlo

Published

2019

Language

EN