A Novel Power Control Algorithm for Massive MIMO Cognitive Radio Systems Based on Game Theory

Abstract

In this paper, a novel system model named as massive multiple-input multiple-output (MIMO) cognitive radio system (CRS) is built and an efficient uplink power control algorithm based on noncooperative game theory with a selfadaptive power threshold scheme is proposed to improve the power efficiency. And then, we give an analytical model for the massive MIMO CRS and the detail of the self-adaptive power threshold scheme. Moreover, we prove the existence of the Nash Equilibrium and the convergence of the proposed algorithm. To evaluate the performance of the proposed algorithm, we do simulations and compare the system performance with two other classical power control algorithms. Simulation results demonstrate that the proposed algorithm can achieve a preferable performance in signal-to-noise-plus interference ratio (SINR) and a higher utility with lower transmission power and faster convergence. It implies that the novel way can achieve higher power efficiency and a better overall system performance.