论文标题

D2D通信网络中可重新配置的智能表面

Reconfigurable Intelligent Surfaces for Energy Efficiency in D2D Communication Network

论文作者

Jia, Shuaiqi, Yuan, Xiaojun, Liang, Ying-Chang

论文摘要

在这封信中,研究了D2D用户的联合功率控制以及针对RIS辅助设备到设备(D2D)通信网络的可重新配置智能表面(RIS)的被动横向进行,以最大程度地提高能源效率。这个非凸优化问题分为两个子问题,这些子问题是被动的光束和功率控制。两个子问题交替优化。我们首先根据拉格朗日双变换将RIS的被动边界置。通过使用分数编程来解决此问题。然后,我们使用Dinkelbach方法优化了功率控制。通过迭代解决这两个子问题,我们获得了关节优化问题的次优溶液。数值结果已经验证了所提出的算法的有效性,该算法可以显着提高D2D网络的能源效率。

In this letter, the joint power control of D2D users and the passive beamforming of reconfigurable intelligent surfaces (RIS) for a RIS-aided device-to-device (D2D) communication network is investigated to maximize energy efficiency. This non-convex optimization problem is divided into two subproblems, which are passive beamforming and power control. The two subproblems are optimized alternately. We first decouple the passive beamforming at RIS based on the Lagrangian dual transform. This problem is solved by using fractional programming. Then we optimize the power control by using the Dinkelbach method. By iteratively solving the two subproblems, we obtain a suboptimal solution for the joint optimization problem. Numerical results have verified the effectiveness of the proposed algorithm, which can significantly improve the energy efficiency of the D2D network.

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