Power Optimization in MIMO Cognitive Radio Data Transmission

Abstract

The Spectrum sensing technique is the technique which optimize the sensing threshold, sensing time, and transmit power of a multi-input multi-output (MIMO) Cognitive Radio system for maximization of the opportunistic system throughput under transmit power, probability of false alarm, and probability of missed detection constraints. The transmission protocol allows the CR user to simultaneously perform data transmission and spectrum sensing on different spatial sub channels. Since finding the global optimal solution of these problems entails a very high complexity, the development of two iterative algorithms are based on the concept of alternating optimization and solve only convex sub problems in each iteration. Hence the Simulation will show the developed algorithms closely approach the global optimal performance and achieve performance gains compared to baseline schemes employing equal powers or equal sensing times in all sub channels.