Super dense networking cell clustering method

Abstract

The invention provides a super dense networking cell clustering method, belonging to the field of mobile communication. The method comprises that steps that each micro base station obtains the UE_MR data of all users in real time and calculates the interference information to a user j by an adjacent micro cell i; then the interference information average value of all users in a micro cell is calculated as equivalent interference; the equivalent interference to the micro cell by all adjacent micro cells is calculated; an equivalent interference threshold EIth is set, and the interference cell set of the micro cell is selected; finally, whether the interference cell set of the micro cell is same as a previous period or not is judged, and the interference information is recalculated if so; otherwise, the micro cell sends the interference cell set of the micro cell to a macro base station; the macro base station carries out clustering and notifies each micro cell. The method has the advantages that a network overall division is employed to carry out clustering without the selection of an original clustering or original point, the clustering result is stable, the micro base stations are responsible for UE_MR preprocessing working, the macro base station is responsible for micro cell clustering, and the purpose of balancing a load is achieved.

Description

technical field [0001] The invention belongs to the field of mobile communication, relates to cell management and mobile communication technology in an ultra-intensive networking scene, and specifically relates to a cell clustering method in an ultra-intensive networking. Background technique [0002] At present, 5G network technology is in a critical period of research. Heterogeneous networks and ultra-dense networking are two major characteristics of 5G network deployment. In a heterogeneous network scenario where an ultra-dense network is deployed, cooperation between a large number of micro base stations and between macro base stations and micro base stations is required, and frequent signaling interactions cause the burden of the X2 link and heavy signaling. Therefore, it is necessary to cluster cells reasonably, which can not only facilitate base station management and reduce signaling overhead, but also further provide conditions for the application of CoMP (Coordinat...

AI Technical Summary

Problems solved by technology

This method clusters based on the original cluster or selects a certain cell as the starting point. It does not give an effective solution for how to detect the interference level of the micro cell, and assigns and manages all clusters to the coordinator. If the coordinator If the coordinator is defined as a macro base station, it will greatly increase the workload of the macro base station. If the coordinator is a newly defined entity, it will cause a great change in the network architecture

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