Joint Coded Caching and Resource Allocation for Satellite Internet of Things

Due to the explosive growth of various applications, current wireless networks are confronted with heavy traffic burden, which makes the high data rate requirements of users can’t be satisfied. Millimeter wave (mmWave) spectrum with rich bandwidth can effectively cater for the suging traffic demand. Moreover, edge cache has been regarded as a promising approach for relieving the backhaul pressure. In this paper, we first construct a joint maximum distance separable (MDS) coded caching, power allocation and user association problem in mmWave enabled satellite Internet of Things (IoT), aims at maximizing the backhaul-aware network utility. The formulated mixed-integer non-linear programming problem (MINLP) is then solved through the decomposition approach. Specifically, the convex optimization technology is used to tackle the coded caching and power allocation subproblems, while the swap matching is implemented to solve the user association subproblem. Moreover, an iterative algorithm with low computational complexity, is designed to implement coded caching and resource allocation to two-sided exchange-stable (2ES) state. Finally, simulation results show the superiority of our proposed algorithm over benchmark schemes.