Seamless handover method based on collaborative base station clustering in ultra-dense network

Abstract

The invention relates to a seamless handover method based on collaborative base station clustering in an ultra-dense network. The method comprises the steps of firstly, collaboratively clustering small base stations deployed in an ultra-dense manner; implementing overlapped clustering to acquire an overlapped cluster node; when a user moves in a cluster, adopting a dynamically self-updating method for a service base station group to meet the intra-cluster handover requirement of the user; and when the user moves across the clusters, adopting a handover pre-warning mechanism to perform pretreatment early for handover, thus reducing preparation time for handover, then executing a handover process, and finally completing seamless handover. According to the method, the collaborative base station clustering and handover pre-warning serve as entry points, according to the moving conditions of the mobile user such as moving in the cluster, and moving across the clusters, the different handover strategies are used for performing efficient cell handover, the handover delay is reduced, the handover failure rate is lowered, and the seamless handover experience of the user is enhanced.

Description

technical field [0001] The invention relates to a seamless handover method based on cooperative base station clustering in an ultra-dense network. Background technique [0002] In the next 10 years, the communication data rate is expected to increase by 1000 times. In order to cope with this continuous rapid data growth, meet people's user experience needs, and promote the 4G network from wide coverage to deep coverage, major mobile operators have begun to deploy small base stations on a large scale in a planned manner. The deployment of ultra-dense cells has been recognized as an important part of 5G mobile communications. The basic idea of ​​ultra-dense cell deployment is to shorten the physical distance between the sending end and the receiving end, thereby improving the performance of end users. [0003] However, it is worth noting that in an ultra-densely deployed cellular mobile communication system, the coverage area of ​​a single macro base station in the original l...

AI Technical Summary

Problems solved by technology

However, the current mobile handover improvement method has a high dependence on the mobile prediction algorithm, and the algorithm is too complicated, which will lead to inaccurate handover timing decisions, and it is difficult to achieve seamless handover. Comprehensive consideration of the seamless handover experience requirements of mobile communication users in densely deployed environments

Images