Base station selection and task unloading method and device for mobile edge calculation system, equipment and medium

Abstract

The invention discloses a base station selection and task unloading method and device for a mobile edge calculation system, equipment and a medium. The method comprises the following steps: building a calculation model of switching time delay, communication time delay and queuing time delay of the mobile edge calculation system in any time slot based on two decision variables, namely service placement and base station selection; minimizing non-switching time delay to obtain service placement and base station selection decisions at an initial moment; according to the decision of the previous time slot, the switching time delay and the non-switching time delay of the current time slot are calculated, and whether the current time slot migrates the service or not is determined based on the principle of tolerating more non-switching time delays; if the service is not migrated, the decision of the current time slot is kept to be the same as that of the previous time slot; if the service is migrated, minimizing the non-switching time delay of the current time slot, and obtaining the service placement and base station selection decision of the current time slot; and iteratively calculating service placement and base station selection decisions of all time slots. According to the method, low-delay processing and user service quality are guaranteed, and the randomness of user movement is met.

Description

technical field [0001] The invention belongs to the communication technology of mobile edge computing (Mobile Edge Computing, MEC), and specifically relates to a method, device, equipment and medium for base station selection and task offloading of a mobile edge computing system. Background technique [0002] In recent years, with the explosive growth of mobile devices, new services represented by virtual / augmented reality, autonomous driving, and Internet of Vehicles have put forward higher requirements for mobile communications. In order to support low-latency, high-reliability applications, mobile edge computing emerges as the times require. [0003] The core of mobile edge computing is to deploy storage and computing resources at the edge of the network close to users, so as to reduce latency and ensure the quality of service for users. In the edge intelligent network, the network edge cloud is mainly composed of micro data centers, and each network edge is equipped wit...

AI Technical Summary

Problems solved by technology

[0005] When the user chooses to access the base station of the edge cloud, there is a long task queue to be processed, which causes the current user to experience a long queue delay

Of course, if the current edge cloud places services for multiple users, the load on the base station will be heavy, which will also affect the completion time of the task.

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