Robust Optimization of Computing and Communication Resources for Cache-Aided Wireless Edge Networks with Uncertainty

To satisfy the demands of emerging mobile applications, the design and optimization for wireless edge networks jointly considering the caching, computing, and communication (3C) functionalities has drawn attention in the past years. However, robust approaches to address network uncertainty have been underexplored. To bridge this gap, this paper investigates the robust optimization technique for computing and communication resources in wireless caching networks, considering channel uncertainty, task workload uncertainty, and resource uncertainty. We formulate a robust latency minimization problem aimed at jointly optimizing offloading decisions, bandwidth allocation, transmit power allocation, and computing power allocation. Subsequently, we propose an iterative algorithm to solve this problem. Simulation results show that our proposed approach is more robust than the reference schemes.