Mobile edge computing resource management method based on network slices

Abstract

The invention discloses a mobile edge computing resource management method based on network slices. The method comprises the following steps: S1, integrating a mobile edge computing server in a wireless base station; S2, sharing and mapping communication resources and computing resources of the wireless base station, and then creating a plurality of slice networks, wherein only one slice network provides service for equipment of each terminal user; S3, enabling the equipment of each terminal user to send application program scene information to the corresponding virtual network operator; S4, enabling the virtual network operator to send a request to the wireless base station; S5, enabling the wireless base station to construct a communication bandwidth resource and edge computing CPU frequency configuration joint optimization model; and S6, solving the constructed information bandwidth resource and edge computing CPU frequency configuration joint optimization model, and determining a distribution scheme of the communication bandwidth of the terminal user equipment and the mobile edge computing CPU frequency. According to the invention, the resource utilization rate is improved, and the service quality requirements of different types of terminal users can be ensured.

Description

technical field [0001] The present invention relates to the technical field of resource configuration optimization of network slicing, in particular to a resource management method for mobile edge computing based on network slicing. Background technique [0002] In recent years, with the development of the Internet of Things and communication technologies, computing-intensive applications with ultra-low latency and high reliability have emerged, such as autonomous driving, virtual reality, augmented reality, and telemedicine. These new applications rely on the high-quality communication and computing performance of massive IoT devices. How to achieve high-speed communication and low-latency, high-reliability computing functions with limited network resources is a key issue that needs to be solved urgently. [0003] At the same time, the three major application scenarios of 5G communication systems: enhanced mobile broadband (eMBB), ultra-reliable and low-latency (URLLC) comm...

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Problems solved by technology

[0005] It is worth noting that the current network slicing configuration of wireless resources such as bandwidth, antenna, spectrum, and time does not consider the coupling relationship with computing resources such as CPU frequency and storage units.

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