Detection for Flat-Fading Channels based on Expectation Propagation

TL;DR

This paper introduces a novel expectation propagation-based detection algorithm for flat-fading channels that converges rapidly and outperforms existing methods, especially with sparser pilot configurations.

Contribution

A new expectation propagation detection algorithm that achieves convergence in a single pass and offers significant performance improvements over prior solutions.

Findings

Single-pass convergence without inner iterations

Significant performance gains over state-of-the-art methods

Effective with sparser pilot configurations

Abstract

This paper aims at tackling the problem of signal detection in flat-fading channels. In this context, receivers based on the expectation propagation framework appear to be very promising although presenting some critical issues. We develop a new algorithm based on this framework where, unlike previous works, convergence is achieved after a single forward-backward pass, without additional inner detector iterations. The proposed message scheduling, together with novel adjustments of the approximating distributions' parameters, allows to obtain significant performance advantages with respect to the state-of-the-art solution. Simulation results show the applicability of this algorithm when sparser pilot configurations have to be adopted and a considerable gain compared to the current available strategies.