Wireless network slice based resource management method

Abstract

The invention discloses a wireless network slice based resource management method, and relates to the technical field of an access network of wireless communication technologies. The resource management method specifically comprises the steps that the current network is divided into a plurality of different wireless network slices according to characteristics of all access services in the current network; a centralized upper layer wireless resource manager allocates a special second-layer wireless resource manager for each slice according to a transmission mode, resource demand conditions and service performance indexes in each slice and performs centralized resource allocation, each second-layer wireless resource manager is responsible for monitoring service operating conditions and resource utilization conditions inside each slice in the running process of the network, and meanwhile, resource adjustment among the slices is performed through distributed interfaces so as to meet dynamic changes of the service performance. According to the invention, a centralized and distributed combined two-layer resource allocation method is adopted, available resources are allocated for the slices in a centralized mode so as to reduce the complexity of resource allocation, and meanwhile, distributed resource coordination among the slices reduces the resource management cost.

Description

technical field [0001] The present invention relates to the technical field of access network of wireless communication technology, in particular to a resource management method based on wireless network slicing. Background technique [0002] With the rapid development of the mobile Internet and the Internet of Things and the continuous emergence of various new services, the current mobile communication network is facing enormous pressure and challenges. In order to better cope with the rapid growth of mobile data traffic in the future, the demand for massive device connections and high reliability and low latency, academic and industrial circles around the world have launched in-depth research on 5G (5thGeneration) mobile communication technology. [0003] At present, the International Telecommunication Union (ITU) has completed the research on the vision and requirements of 5G, and established three typical application scenarios and key performance indicators of 5G, includ...

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Problems solved by technology

However, with the diversification of 5G business types, the performance requirements of each business are also quite different; on the one hand, high spectral efficiency is no longer the only goal of system optimization, and business requirements have a great impact on network transmission delay, number of connections, and reliability. On the other hand, in the low-latency scenario, in order to meet the millisecond-level latency requirements, it is considered to sink some functions and content in the core network to the access network; in the large-connection IoT scenario , due to the large number of terminal nodes, in order to reduce the transmission scale of small data packets and alleviate the network load, it is considered to use local nodes with caches to complete part of the data processing; therefore, the configuration of cache resources will be introduced in the network, which increases access network resources The dimension of management includes not only wireless resources, but also cache resources. At the same time, the configuration of cache resources also has a certain impact on the allocation of wireless resources. Therefore, joint optimization of wireless resources and cache resources is required in the access network.

[0008] To sum up, due to new features such as the diversity of 5G network services and the differentiation of performance indicators, the traditional radio resource management method will no longer be applicable. Therefore, a new resource management technology is needed to meet the needs of different slices in the 5G network. business needs

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