Price-Based Power Control in NOMA Based Cognitive Radio Networks Using Stackelberg Game

This paper studies the price-based power control strategies for non-orthogonal multiple access (NOMA) based cognitive radio networks. The primary user (PU) profits from the secondary users (SUs) by pricing the interference power made by them. Then, SUs cooperate to maximize their total revenue at the base station (BS) with successive interference cancellation (SIC) while considering their payoff to the primary user. The pricing and power control strategies between the PU and SUs are modeled as a Stackelberg game. The closed-form expression of the optimal price for the non-uniform pricing scheme is given. The computational complexity of the proposed uniform-pricing algorithm is only linear with respect to the number of SNs. Simulation results are presented to verify the effectiveness of our proposed pricing algorithm.