In this paper, we jointly consider communication, caching and computation in
a multi-user cache-assisted mobile edge computing (MEC) system, consisting of
one base station (BS) of caching and computing capabilities and multiple users
with computation-intensive and latency-sensitive applications. We propose a
joint caching and offloading mechanism which involves task uploading and
executing for tasks with uncached computation results as well as computation
result downloading for all tasks at the BS, and efficiently utilizes multi-user
diversity and multicasting opportunities. Then, we formulate the average total
energy minimization problem subject to the caching and deadline constraints to
optimally allocate the storage resource at the BS for caching computation
results as well as the uploading and downloading time durations. The problem is
a challenging mixed discrete-continuous optimization problem. We show that
strong duality holds, and obtain an optimal solution using a dual method. To
reduce the computational complexity, we further propose a low-complexity
suboptimal solution. Finally, numerical results show that the proposed
suboptimal solution outperforms existing comparison schemes.

本篇论文研究了一个多用户缓存辅助移动边缘计算系统中通信、缓存和计算的联合设计，提出了一种联合缓存和卸载机制，以及优化存储资源的能量最小化问题。数值结果表明，所提出的次优解法优于现有比较方案。