Compute-and-Forward for the Interference Channel: Diversity Precoding

TL;DR

This paper analyzes the randomness in Compute-and-Forward's sum-rate performance at high SNR and introduces a Golden Ratio-based precoding method to improve reliability in interference channels.

Contribution

It identifies the cause of random behavior in CF and proposes a novel Golden Ratio precoding technique to enhance sum-rate stability at high SNR.

Findings

Golden Ratio precoding reduces sum-rate fluctuations

Improved sum-rate performance at high SNR

Enhanced interference alignment in wireless networks

Abstract

Interference Alignment is a new solution to over- come the problem of interference in multiuser wireless com- munication systems. Recently, the Compute-and-Forward (CF) transform has been proposed to approximate the capacity of K- user Gaussian Symmetric Interference Channel and practically perform Interference Alignment in wireless networks. However, this technique shows a random behavior in the achievable sum- rate, especially at high SNR. In this work, the origin of this random behavior is analyzed and a novel precoding technique based on the Golden Ratio is proposed to scale down the fadings experiences by the achievable sum-rate at high SNR.