A virtual base station clustering method based on c-ran architecture

Abstract

The present invention belongs to the technical field of cloud radio access network, and discloses a virtual base station clustering method under the C-RAN architecture, the method includes: analyzing the influencing factors of clustering based on different types of virtual base station clustering schemes, including The impact of clustering on the time and energy consumption of carrier migration; quantify these factors into corresponding mathematical indicators, and establish a mathematical optimization model; solve the mathematical optimization model with an improved space alternating generalized expectation maximization algorithm, and obtain the final clustering Results; Comparing the advantages of this scheme with the scheme based on different types of virtual base station division clusters and the scheme without clustering in terms of migration time and energy consumption, it is concluded that the effect of carrier migration of this clustering scheme is the best.

Description

technical field [0001] The invention belongs to the technical field of cloud radio access network, and in particular relates to a virtual base station clustering method under the C-RAN architecture. Background technique [0002] Cloud-radio access network (C-RAN) is a green radio access network architecture based on centralized processing, collaborative processing, and real-time cloud computing architecture. This architecture centralizes baseband processing resources to form a baseband resource pool, which is uniformly managed and dynamically allocated. Traditional base stations are deployed according to the "maximum processing capacity", without considering the dynamic change characteristics of network services, that is, the tidal effect, resulting in low equipment utilization and a large waste of power resources. The carrier migration technology under the C-RAN architecture is of great significance to effectively respond to the tidal phenomenon of traffic, improve resourc...

AI Technical Summary

Problems solved by technology

Under the C-RAN architecture, base stations exist in the form of virtualization. The clustering method of virtual base stations belongs to the category of resource management. At present, there are few studies on this aspect. The existing resource management models include full fixed clustering model and full dynamic configuration. The resource management model and the combination of fixed and dynamic resource management models, these resource management models are characterized by determining how to cluster the processing resources in the baseband pool according to the user's request business volume, the purpose is to reduce the complexity of resource management and improve The energy efficiency of the system, but does not consider how to manage the large-scale processing resources centralized in the baseband pool from the perspective of dealing with tidal effects

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