Joint Linear Processing for an Amplify-and-Forward MIMO Relay Channel with Imperfect Channel State Information

Joint Linear Processing for an Amplify-and-Forward MIMO Relay Channel with Imperfect Channel State Information

The problem of jointly optimizing the source precoder, relay transceiver, and destination equalizer has been considered in this paper for a multiple-input-multiple-output (MIMO) amplify-and-forward (AF) relay channel, where the channel estimates of all links are assumed to be imperfect. The considered joint optimization problem is nonconvex and does not offer closed-form solutions. However, it ...

Improved MAP Signal Detection for Amplify-and-Forward Relay Networks with Imperfect Channel State Information

In amplify-and-forward wireless relay networks, channel state information is required at the destination for signal detection when coherent distributed space-time coding is performed at the relays. We consider in this paper signal detection in the case of imperfect partial channel knowledge at the destination. For the case of maximum a posteriori signal detection, we propose a modified detector...

Joint Source and Relay Beamformer Design for General MIMO Relaying Broadcast Channel with Imperfect Channel State Information

MIMO Networking with Imperfect Channel State Information

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Optimization of a MIMO amplify-and- forward relay system with channel state information estimation error and feedback delay

This paper addresses the robust design of a multiple-input multiple-output amplify-and-forward relay system against channel state information (CSI) mismatch due to estimation error and feedback delay. The estimation error and feedback delay are expressed using appropriate models, from which we derive the conditional mean square error (MSE) between the desired and the received signals upon the e...