SINR Balancing in the Downlink of Cognitive Radio Networks With Imperfect Channel Knowledge

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Executive Summary

In this paper, the authors consider the problem of Signal-to-Interference-plus-Noise Ratio (SINR) balancing in the downlink of Cognitive Radio (CR) networks while simultaneously keeping interference levels at Primary User (PU) Receivers (RXs) below an acceptable threshold with uncertain channel state information available at the CR Base-Station (BS). They optimize the beamforming vectors at the CR BS so that the worst user SINR is maximized and transmit power constraints at the CR BS and interference constraints at the PU RXs are satisfied.

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