Resource allocation scheme to reduce computing energy consumption of uRLLC and eMBB services in MEC scenarios

According to the 5G development strategy, the coexistence of URLLC service and eMBB service will become a typical application scenario at the initial stage of 5G deployment. As the two services have the demand of wireless transmission and task computing. Therefore, the services requested by users will generate fierce competition in the limited resources of the communication system. Meanwhile, mobile edge computing (MEC) refers to offloading user computing tasks onto cell edge servers for computing. As a result, MECs not only improve the durability of the device, but also significantly speed up computing. How to reduce energy consumption under the condition of computing task is one of the key points of current academic research. This paper studies the coexistence of eMBB and URLLC services in the MEC scenario, and establishes an optimization problem with the goal of minimizing energy consumption and delay. The problem is decomposed into several convex optimization subproblems, and the iterative method is used to solve the approximate optimal solution. It can be concluded from the simulation diagram that compared with the traditional method, the proposed method has lower energy consumption.