Dynamic resource allocation method for high-concurrency multi-service industrial 5G network

Abstract

The invention relates to an industrial 5G network technology, in particular to a dynamic resource allocation method for a high-concurrency multi-service industrial 5G network. The method comprises thefollowing steps: establishing a network system model, and constructing a machine learning model for high-concurrency multi-service-oriented industrial 5G network dynamic resource allocation; collecting the state, action and reward information of all industrial equipment in an industrial 5G network at different time slots, and training the machine learning model; circularly evaluating network performance indexes of different services, and training the machine learning model until performance requirements are met; and taking the state information of all the industrial equipment in the current time slot industrial 5G network as the input of the machine learning model, and carrying out resource allocation on a plurality of different types of concurrent services of all the industrial equipment. According to the invention, the problem of resource conflicts caused by different requirements of various types of services such as control commands, industrial audios and videos, perception data and the like on real-time performance, reliability and throughput in the concurrent communication process of large-scale heterogeneous industrial equipment in an industrial 5G network is solved.

Description

technical field [0001] The present invention provides a dynamic resource allocation method for high-concurrency multi-service industrial 5G networks, considering the impact of various types of services such as control commands, industrial audio and video, and sensory data on the real-time, Resource conflicts caused by different reliability and throughput requirements, especially involving multi-service packet loss rate, end-to-end delay, throughput and energy consumption constraints, belong to the field of industrial 5G network technology. Background technique [0002] With the development of Industry 4.0, a large number of distributed industrial devices are interconnected, and industrial wireless network communication is used between distributed industrial devices, resulting in a large number of services with different transmission requirements. Industrial 5G network is applied in typical communication scenarios with its Ultra-reliable and Low Latency Communications (URLLC)...

AI Technical Summary

Problems solved by technology

For large-scale industrial production processes with high concurrency and multi-services, this not only makes it difficult to obtain accurate system models, but also causes the problem of state space explosion

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