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Designing an efficient scheme in physical layer enables cognitive radio (CR)users to efficiently utilize resources dedicated to primary users (PUs). Inthis paper in order to maximize the SU's throughput, the SU's transceiversbeamforming is designed through new model considering the presence of the PU'stransmitter. Since presence of primary transmitter basically degrades CR'ssystem performance; proposed beamforming design considers intra-systeminterference between PUs and SUs. An optimization problem based on maximizingCR network throughput subject to controlling interference power from SUtransmitter to PU receiver has been formulated. Due to limited cooperationbetween PU and SU network, channel state information (CSI) between two networksare assumed to be partially available, subsequently conventional CSIuncertainty model known as norm bounded error model has been employed. Theproposed optimization problem, which is basically difficult to solve, has beenconverted to a semi definite program which can be efficiently solved byoptimization toolbox software e.g., CVX-Mathlab. Furthermore, alternative timeefficient and close form solutions are derived. The superiority of the proposedapproach in comparison with the previous works has been confirmed through thesimulation results.

Robust Downlink Throughput Maximization in MIMO Cognitive Network with  more Realistic Conditions: Imperfect Channel Information & Presence of  Primary Transmitter