On the Performance of Two-way Relays in the Presence of Frequency Offsets

Abstract

In this paper, we present a novel pilot-based Maximum Likelihood (ML) estimation scheme for the channel and carrier frequency offset (CFO) in amplify-and-forward (AF) two-way relay networks (TWRNs). We develop an estimator for two separate channel scenarios, reciprocal and non-reciprocal. We use simulations to plot the mean-squared error (MSE) performance of the proposed scheme and show that it converges to the corresponding Cramer-Rao bound (CRB) in both cases.