Abstract:
In this work, we develop a majorization theory based linear precoding framework for optimal transceiver design in MIMO cognitive radio networks. Closed form expressions a...Show MoreMetadata
Abstract:
In this work, we develop a majorization theory based linear precoding framework for optimal transceiver design in MIMO cognitive radio networks. Closed form expressions are derived for the optimal MIMO precoders using two new transceiver design paradigms, the zero-forcing transceiver (ZFT) and the interference optimized transceiver (IOT), for overlay and underlay MIMO cognitive radio networks respectively. Further, another novel contribution of this work is to derive the precoders for multicast MIMO cognitive radio scenarios based on novel multi-user mean-squared error (MSE) bounds. Simulation results demonstrate the performance of the proposed optimal MIMO transceivers.
Published in: IEEE Signal Processing Letters ( Volume: 22, Issue: 10, October 2015)