A Game Theory Based Joint Mode Selection and Power Allocation Optimization Algorithm in NOMA-D2D Systems

The collaborative communication of reuse mode and NOMA mode acts on the improvement of spectrum efficiency with a corresponding more complex interference. In this paper we proposed a game theory based approach to overcome the critical issue. An optimization function of maximizing system capacity is defined, which is an NP-hard problem. Therefore, we transform the problem into two sub-problems: D2D user mode selection and power allocation. The user communication mode selection is constructed as a potential game process. And the successive convex approximation is used to solve the user power allocation problem. The simulation results indicate that the proposed algorithm can improve system capacity by approximately 19% compared to other schemes.