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

Abstract

The invention belongs to the technical field of wireless communication, and discloses an integrated intelligent control system and method for wireless resource scheduling, and a wireless communication system; in each TTI, a base station acquires a list of users to be scheduled; the base station collects parameters related to user wireless resource scheduling, and constructs State space; the base station decides resource scheduling actions for all users according to the deep neural network; the base station uses the deep neural network to calculate the cumulative reward corresponding to the current state action; the base station performs resource allocation actions and obtains the expected cumulative reward of environmental feedback; the base station updates the deep neural network online . The present invention adopts an intelligent wireless resource scheduling framework, aggregates user scheduling and resource allocation modules, and improves the timeliness of decision-making in real-time communication. The present invention avoids the selection of different scheduling rules with emphasis on performance, overcomes the deficiency of high time delay caused by selection and switching between different scheduling rules in the prior art, and makes the present invention effectively apply to delay-sensitive real-time communication scenarios.

Description

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

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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