Energy-efficient Power Control Algorithm for D2D Communication
DAI Haibo① LU Wen② HUANG Yongming① YU Fei① YANG Lüxi①
①(School of Information Science and Engineering, Southeast University, Nanjing 210096, China) ②(State Grid Nanjing Power Supply Company, Nanjing 210019, China)
To address the power control problem for Device-to-Device (D2D) communication in a cellular network to improve the cellular Energy Efficiency (EE), a weighted cellular EE problem is proposed and it is solved by using a game-theoretic learning approach. Specifically, by proposing a lower bound instead of the original optimization objective, it is proved that an exact potential game applies to the power control problem and its best Nash Equilibrium (NE) is the optimal solution of the lower bound. Then, the algorithm with low-complexity and fast convergence is designed. Finally, numerical results verify the effectiveness of the proposed scheme.
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