Using Superposition Codebooks and Partial Decode and Forward in Low SNR Parallel Relay Networks

TL;DR

This paper introduces a novel communication scheme for Gaussian parallel relay networks that combines superposition coding and partial decoding, outperforming existing methods in low SNR conditions.

Contribution

It proposes a new scheme integrating superposition coding and partial decode-and-forward, generalizing existing relay strategies for improved low SNR performance.

Findings

Outperforms previous schemes in certain channels and parameters.

Achieves better energy efficiency at low SNR.

Demonstrates the effectiveness of superposition coding in relay networks.

Abstract

A new communication scheme for Gaussian parallel relay networks based on superposition coding and partial decoding at the relays is presented. Some specific examples are proposed in which two codebook layers are superimposed. The first level codebook is constructed with symbols from a binary or ternary alphabet while the second level codebook is composed of codewords chosen with Gaussian symbols. The new communication scheme is a generalization of decode-and-forward, amplify-and-forward, and bursty-amplify-and-forward. The asymptotic low SNR regime is studied using achievable rates and minimum energy-per-bit as performance metrics. It is shown that the new scheme outperforms all previously known schemes for some channels and parameter ranges.