Training Designs for Estimation of Spatially Correlated Fading Channels in MIMO Amplify-and-Forward Two-Way Multi-Relay Networks


In this letter, we present training designs for estimation of spatially correlated multiple-input multiple-output amplify-and-forward two-means multi-relay channels. An optimal training structure is initially derived to minimize total mean-square-error of the channel estimation and, then, source coaching power and relay amplification parameters are optimized numerically. For the aim of complexity reduction and implementation simplicity, an upper sure-based mostly power allocation is also proposed in a closed kind. Simulation results show that the proposed schemes considerably outperform the conventional schemes.

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