Resource allocation of distributed wireless network based on mobile edge computing

In order to solve the problems of high packet loss rate, low configuration balance and long time in traditional resource allocation methods, a resource allocation method of distributed wireless network based on mobile edge computing is proposed. The mobile edge computing is used to select the distributed wireless network service nodes, so as to determine the constraints such as task unloading, resource allocation, task execution delay, transmission rate, etc., build the distributed wireless network resource allocation objective function, and use the genetic-annealing algorithm to solve the objective function. The optimal solution is the optimal distributed wireless network resource allocation scheme. The experimental results show that the average packet loss rate of this method is 3.06%, the resource allocation balance of distributed wireless network varies from 0.96 to 0.96, and the average allocation time is reduced by 2.12 s and 1.19 s respectively compared with the two experimental comparison methods.