This paper addresses join wireless and computing resource allocation in mobile edge computing (MEC) systems with several access points and with the possibility that users connect to many access points, and utilize the computation capability of many servers at the same time. The problem of sum transmission energy minimization under response time constraints is considered. It is proved, that the optimization problem is non-convex. The complexity of optimization of a part of the system parameters is investigated, and based on these results an Iterative Resource Allocation procedure is proposed, that converges to a local optimum. The performance of the joint resource allocation is evaluated by comparing it to lower and upper bounds defined by less or more flexible multi-cell MEC architectures. The results show that the free selection of the access point is crucial for good system performance.

翻译：本文论述将无线和计算资源分配与移动边缘计算(MEC)系统中的移动边缘计算(MEC)系统结合起来,有多个接入点,用户有可能与许多接入点连接,同时利用许多服务器的计算能力。在反应时间的限制下,考虑将能量传输总量最小化的问题。事实证明,最佳化问题并非易事。根据这些结果,对系统参数一部分优化的复杂性进行了调查,并提出了一个循环资源配置程序,该程序与当地最佳配置相匹配。联合资源分配的绩效通过将其与较小或更灵活的多细胞MEC结构界定的下限和上限进行比较来评估。结果显示,自由选择接入点对于系统的良好业绩至关重要。