Design of Delay-Optimal Robust Edge Computing in 6G Wireless Networks

In this paper, we investigate the issue of joint design of communication and computation for multiple time-sensitive computation-intensive user equipments (UEs) with different types of tasks in 6G wireless networks. In particular, we consider a practical mobile edge computing (MEC) network with both communication and computation uncertainties, where channel state information (CSI) is partially obtained by the base station (BS) and the task complexity is inaccurately estimated by the MEC server. To solve these problems and enhance the overall performance, we propose a delay-optimal robust edge computing algorithm for 6G wireless networks with the goal of minimizing the maximum system delay among all UEs by jointly optimizing transmit power at the UEs, receive beamforming at the BS and computing resources at the MEC server. Finally, simulation results confirm the robustness and the effectiveness of the proposed algorithm over baseline ones.