OPA and stable throughput analyzing for MIMO Cognitive communication systems

This paper studied the performance gain of multi-antenna technology in asymmetry Cognitive Radio (CR) interference communication systems. The main contributions include: 1. the derivation of the closed-form expressions of outage and throughput performance for Licensed User (LU) and Cognitive User (CU) in both ideal (detection is always correct) and real (detection error occurs) cognitive MIMO flat Rayleigh fading channels; 2. analyzing of the state-of-art power allocation algorithms and the throughputs; 3. designing of the Optimal Power Allocation (OPA) algorithm for CR MIMO systems while guaranteed the stability of the LU. Numerical results verified the theory analyses and the results show that the multi-antenna gain improves the overall system performance. Moreover, the OPA algorithm maximizes both of the LU and CU´s maximum average throughputs while guarantees stability of the whole systems.