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

Reconfigurable Intelligent Surfaces for Energy Efficiency in D2D Communication Network