Joint optimization of communications and computing resources allocation for deterministic transmission in wireless edge networks

Motivated by 5th generation wireless systems (5G), a large number of emerging applications appear, which put forward higher requirements for the task's transmission determinacy, which refers to the delay and jitter. To satisfy the deterministic requirement, mobile edge computing (MEC) is envisioned as a promising technique for reducing the end-to-end delay significantly. In this paper, we consider delay-sensitive task and jitter-sensitive task, and then for mulate the joint communications and computing optimization problem under the latency, the total band width, the total transmission power of base station (BS) and the computing ability of the MEC server constraints to minimize the delay and jitter in a multiuser MEC system. Because of the problems are non-convex, we decouple them into some subproblems and propose the corresponding algorithms to obtain a suboptimal solution. Finally, numerical results show that the proposed algorithms have a significant performance gain over the traditional solution in terms of the delay and the jitter.