Method for reducing switch failures in ultra-dense wireless network

Abstract

The invention discloses a method for reducing switch failures in an ultra-dense wireless network and belongs to the mobility optimization technique in wireless communication. The method comprises the following steps: configuring different initial switching parameters for UE at different speeds, and then automatically adjusting the switching parameters according to the switching history; calculating the failure times and the success times of switching within the given time window length, and thus providing a new method for dynamically adjusting switch parameters. In the ultra-dense network, under the condition that Picocells are densely deployed in the area, the method can realize self-adaptative adjustment for the switch parameters, effectively reduces the switch failure rates when the UE passes through the area with the densely-deployed Picocells, and can realize the balance of reducing the switch failure rates and reducing small ping-pong ball rate.

Description

technical field [0001] The invention belongs to the technical field of mobility optimization in wireless communication, and in particular relates to a method for reducing Handover Failure (HOF) in an LTE-A (Long Time Evolution-Advanced) ultra-dense wireless network. Background technique [0002] LTE-A is the smooth evolution of the LTE project to 4G, and was officially approved by the International Telecommunication Union as the fourth-generation mobile communication (IMT-Advanced) international standard in October 2010. In order to meet the performance requirements of the fourth-generation mobile communication system and solve the problems of traditional homogeneous cellular networks such as "heavy cellular networking, light isolated hotspots" and poor performance of border users, LTE-A is deployed in the macro cell (Macro Cell) of the cellular network topology. Basically deploy small cells (Small Cells), such as FemtoCells (FemtoCells), picocells (PicoCells) and relays (Re...

AI Technical Summary

Problems solved by technology

In a heterogeneous network, the network structure is very complex

For example, when a UE moves in a macro station, it may enter and leave the Small Cell multiple times. The handover performance of UEs passing through different target cells at different speeds will be different. Not only the UE with too high speed will cause handover failure, but also Depending on the target cell, the handover parameters should also be modified accordingly.

Therefore, in HetNet, especially in SCE, Small Cells are densely deployed, and the number of UE handovers in the RRC Connected state is greatly increased, which will cause new handover problems and HOFR will greatly increase. Therefore, it is necessary to design a more effective handover algorithm to reduce HOFR

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