Joint Optimization of Computation and Communication Resources for RIS-Aided Multi-Cell Multi-User Wireless Caching Networks

To facilitate massive multiple-input multiple-output systems and millimeter-wave communications, reconfigurable intelligent surface (RIS) has drawn significant attention. On the other hand, to serve computation- and data-intensive applications, the optimization jointly considering caching, computing, and communication (3C) resources has also been widely discussed. To fill the gap that the optimization considering 3C has not been well-explored in RIS-aided networks, this paper investigates the joint optimization of computation and communication (2C) resources and RIS design in multi-cell multi-user wireless caching networks. Based on the formulated latency minimization problem, we propose a joint 2C and RIS optimization approach. Our approach solves the latency minimization problem by first decomposing it into several subproblems, and then iteratively solving the subproblems until convergence. Computer simulations show that our approach can effectively improve the network performance and outperform the reference schemes.