Game Theory Based Resource Allocation in Multi-Cell Massive MIMO OFDMA Networks

This paper presents a novel non-cooperative game theoretic based distributed resource block (RB) and power allocation (PA) algorithm using different interference temperature metrics for the uplink of large scale multiple-input-multiple- output (LS-MIMO) multi-cell multi-user frequency division multiple access (OFDMA) networks operating through time division duplexing (TDD). The Nash equilibrium (NE) existence and the algorithms complexity are briefly discussed and simulations are conducted aiming to verify the effectiveness, in terms of both achieved system spectral efficiency (SE) and energy efficiency (EE), as well as to corroborate the robustness of the proposed method in terms of NE convergence and outage probability (OP). We also verify the impact of different system parameters choice on the algorithms' performance, such as system loading and the path-loss (PL) exponent.