Maximizing Data Rate for Multiway Relay Channels with Pairwise Transmission Strategy

TL;DR

This paper investigates how user pairing strategies affect the data rates in multiway relay channels with functional-decode-forward relaying, providing optimal pairing solutions and analyzing their performance at different SNR levels.

Contribution

It introduces a graphical model for MWRC with pairwise transmission, derives optimal user pairings for maximum rates, and compares their effectiveness through simulations.

Findings

Optimal user pairing maximizes common and sum rates.

Rate improvements diminish at higher SNRs.

Simulations show optimal pairing outperforms other strategies.

Abstract

In a multiway relay channel (MWRC), pairwise transmission strategy can be used to reduce the computational complexity at the relay and the users without sacrificing the data rate, significantly. The performance of such pairwise strategies, however, is affected by the way that the users are paired to transmit. In this paper, we study the effect of pairing on the common rate and sum rate of an MWRC with functional-decode-forward (FDF) relaying strategy where users experience asymmetric channel conditions. To this end, we first develop a graphical model for an MWRC with pairwise transmission strategy. Using this model, we then find the maximum achievable common rate and sum rate as well as the user pairings that achieve these rates. This marks the ultimate performance of FDF relaying in an MWRC setup. Further, we show that the rate enhancement achieved through the optimal user pairing becomes less pronounced at higher SNRs. Using computer simulations, the performance of the optimal pairing is compared with those of other proposed pairings in the literature.