Wireless resource scheduling integrated intelligent control system and method, and wireless communication system

Abstract

The invention belongs to the technical field of wireless communication, and discloses a wireless resource scheduling integrated intelligent control system and method and a wireless communication system. At each TTI, a base station obtains a to-be-scheduled user list; the base station collects user radio resource scheduling related parameters and constructs a state space; the base station decides resource scheduling actions for all users according to the deep neural network; the base station calculates a cumulative reward corresponding to the current state action by using a deep neural network;the base station executes a resource allocation action and obtains an expected accumulation reward fed back by the environment; and the base station updates the deep neural network online. Accordingto the invention, an intelligent wireless resource scheduling architecture is adopted, user scheduling and resource distribution modules are aggregated, and the decision timeliness of real-time communication is improved. According to the invention, the method avoids the selection of different scheduling rules with emphasis on the performance, overcomes the defect of high time delay caused by the selection and switching among different scheduling rules in the prior art, and enables the method to be effectively applied to the real-time communication scene with sensitive time delay.

Description

Technical field [0001] The present invention belongs to the field of wireless communication technology, and in particular relates to a wireless resource scheduling integrated intelligent control system and method, and a wireless communication system. Background technique [0002] At present, the existing technology commonly used in the industry is as follows: The fifth-generation mobile communication system provides and supports three types of scenarios, including enhanced mobile broadband (eMBB), ultra-reliable and low-latency communications (Ultra-Reliable and Low Latency Communications, URLLC), and Massive Machine Type Communications (mMTC), emerging scenarios have put forward higher requirements for throughput, reliability, and latency. At the same time, with the development of smart terminals, services are diversified and heterogeneous. For example, online reading, online games, virtual reality / augmented reality and other diverse services put forward stricter QoS requirement...

AI Technical Summary

Problems solved by technology

[0005] (1) The existing technology focuses on the wireless resource allocation from the macro base station to the micro base station, and does not realize the wireless resource allocation from the micro base station to the user, that is, the allocation of access link wireless resources

Moreover, prior art 1 only provides the functional modules of the micro base station and the macro base station for wireless resource scheduling, and does not provide a specific resource scheduling mathematical model

[0006] (2) The existing technology allocates wireless resources in a limited proportion and fair rules, lacks flexibility and integration, and cannot adapt to and meet the rich network scenarios in the fifth-generation mobile communication system and the performance requirements of users in terms of throughput, reliability, and delay. diverse needs

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