Game Theoretical Method for Sum-Rate Maximization in Full-Duplex Massive MIMO Heterogeneous Networks

In this paper, we consider massive MIMO in two-layer Heterogeneous Networks. The system has a large self-interference and co-channel interference due to operating in full-duplex mode. By using Game Theory, an optimized sum-rate is achieved. We investigate the potential sum-rate before and after the optimization under the power constraints. It is shown that the game theoretical method performed a very good access scheduling. Compared to non-optimized model, game theoretical method can achieve higher sum-rate.