A Mean-field Approach for an Intercarrier Interference Canceller for OFDM

TL;DR

This paper introduces a mean-field based ICI canceller for OFDM that efficiently reduces interference with linear computational complexity, modeled by a simple discrete map.

Contribution

It develops a novel ICI canceller leveraging mean-field theory, achieving linear complexity and simplified dynamics modeling.

Findings

ICI canceller's computational cost scales linearly with subcarriers

Dynamics are effectively captured by a single-variable discrete map

The approach exploits symmetry in the Fourier domain for efficiency

Abstract

The similarity of the mathematical description of random-field spin systems to orthogonal frequency-division multiplexing (OFDM) scheme for wireless communication is exploited in an intercarrier-interference (ICI) canceller used in the demodulation of OFDM. The translational symmetry in the Fourier domain generically concentrates the major contribution of ICI from each subcarrier in the subcarrier's neighborhood. This observation in conjunction with mean field approach leads to a development of an ICI canceller whose necessary cost of computation scales linearly with respect to the number of subcarriers. It is also shown that the dynamics of the mean-field canceller are well captured by a discrete map of a single macroscopic variable, without taking the spatial and time correlations of estimated variables into account.