Energy-efficient power control and subcarrier allocation in OFDMA systems based on game theory

This paper considers the problem of noncooperative resource allocation in orthogonal frequency division multiple access (OFDMA) systems. In order to maximize the energy efficiency, a distributed and iterative algorithm that the energy efficiency changed dynamically according to the strategies is proposed. In the proposed game, we study the subcarrier and transmit power allocation and each user chooses the strategy to selfishly maximize its own energy efficiency. Nash equilibrium point is achieved through the algorithm. As shown in the numerical results, our algorithm performs better than the compared algorithms in the whole system, which can reduce the power consumption at the same time.