Efficient Multi-dimensional Edge Resources Allocation for 5G Power MEC

With the rapid development of smart grid technology, the demand for computing resources by 5G power terminals has sharply increased. In order to meet the services, power MEC technology is appearing. However, due to the limited computing resources, multi-dimensional resource allocation has always been one of the key problems to be solved in the power edge computing environment. This article allocates computing resources reasonably under limited resources of 5G power MEC and power consumption to meet the service quality and improve the maximum utility of the new power system. Aiming at the problem, a resource allocation model is proposed. By introducing the resource request emergency factor, resources are allocated to terminals that can maximize the new power system utility by taking the system utility as the optimization objective. This paper allocates transmission power reasonably through terminal request emergency factor, and allocates more transmission power to terminals with large emergency factor. An optimization scheme is proposed based on Polyblock algorithm and simulations show that the algorithm can indeed obtain the optimal solution under constraints.