Price-Based Resource Allocation in NOMA System with Hardware Impairments

In this paper, we study price-based resource allocation for a cellular downlink non-orthogonal multiple access (NOMA) network with hardware impairments. The pricing and power purchase strategies between the base station (BS) and the users are modeled by the Stackelberg game. To tackle this problem, we first use a backward tracking approach to simplify the revenue maximization problem of BS as an equivalent resource allocation problem. Then the optimization problem is solved by the quadratic transform method. Finally, we propose a price-based resource allocation algorithm based on the Stackelberg game to maximize the BS's revenue. Simulation results show that compared with the existing algorithm with perfect hardware, our proposed price-based resource allocation algorithm has a better performance according to the revenue of the BS and the sum rate of users.