Switching method utilizing fuzzy prediction model

A fuzzy prediction and model technology, applied in electrical components, wireless communication, etc., to avoid ping-pong effects, avoid call drop problems, improve efficiency and correctness

Active Publication Date: 2017-10-13
XI AN JIAOTONG UNIV
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Problems solved by technology

[0007] The purpose of the present invention is to solve the problem of seamless handover of users in a wireless communication network, and provide a handover method using a fuzzy prediction model. The method introduces a fuzzy prediction model to predict

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  • Switching method utilizing fuzzy prediction model
  • Switching method utilizing fuzzy prediction model
  • Switching method utilizing fuzzy prediction model

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[0032] In order to make the content, effects and advantages of the present invention clearer, the present invention will be described in detail below in conjunction with the accompanying drawings and embodiments.

[0033] The present invention is a handover decision-making mechanism using a prediction model. By predicting the strength of the received signal of the future user and the location of the user, on the premise that the prediction accuracy is satisfied (the accuracy of the location prediction should be less than the coverage of the base station, such as 30m, for different sampling Interval, the accuracy of position prediction needs to meet the corresponding requirements, for example, for the prediction of sampling interval 30s, the root mean square error of prediction should be less than 5m), it can effectively make reasonable and reliable switching decisions by grasping future information, and can avoid Various problems caused by improper parameter selection can reali...

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Abstract

The invention discloses a switching method utilizing a fuzzy prediction model. According to the method, through introducing the fuzzy prediction model, reception signal intensity and the position of a user are predicted, excellent noise tolerance capability is realized, the relatively accurate prediction result can be acquired; through introducing short-period prediction of reception signal intensity of the user in a switching mechanism, a switching target base station and switching opportunity can be determined, and call drop caused by triggering time delay can be avoided; through introducing long-period prediction of the user position in the switching mechanism, locus of the user can be determined, and the ping-pong effect caused by short-period prediction restrictions can be avoided. The method is advantaged in that through introducing the fuzzy prediction model, reception signal intensity and the position of the user are predicted, according to the prediction result, switching opportunity and the target base station are determined, a prediction switching decision mechanism compatible with switching mechanisms in the prior art are employed, and seamless network switching is realized.

Description

technical field [0001] The invention relates to the problem of user receiving signal strength and position prediction, in particular to a handover decision-making mechanism which introduces a prediction model. Background technique [0002] 1. Switch decision [0003] With the development of society, users have higher and higher requirements for mobility management in wireless networks, to realize seamless handover of user access, avoid call drop and ping-pong effect caused by switching back and forth between two base stations in a short period of time, Guaranteeing user experience during user mobility has become a key technology in mobile communications. Handover in mobile communication refers to the process that the mobile station needs to transfer information from the originally used channel to a more suitable channel for information transmission due to various reasons when transmitting information between the mobile station and the base station. [0004] 2. Prediction-B...

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Application Information

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IPC IPC(8): H04W36/00H04W36/08H04W36/18
CPCH04W36/0061H04W36/08H04W36/18
Inventor 曲桦张艳鹏赵季红马慧
Owner XI AN JIAOTONG UNIV
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