Hidden Markov Model (HMM) based cell handover decision algorithm and device

Abstract

The invention relates to the field of one-way wireless communication and discloses an HMM based cell handover decision algorithm. The algorithm comprises signal collection, wherein signals of different cell edge areas are collected; HMM modeling, wherein HMM models of different cells are built respectively according to the cell signals collected through the signal collection stop; status value obtaining, wherein the status values of the HMM models of the different cells are obtained respectively according to the cell HMM models; observation value obtaining, wherein signals of current positions of mobile terminals are calculated, the HMM models of the current positions are built, and the status values of the HMM models of the current positions of the mobile terminals are obtained and used as the observation values; cell position determining, wherein the observation values of the current positions are compared with the different cell status values, and the cells with the status values closest to the observation values are treated as current position cells for preparation of cell handover. The algorithm and the device have the advantages that the process is simple, calculation steps are few, the calculation amount is small, and handover determining is performed only by the aid of the signal intensity received by the terminals in the one-way transmission wireless communication network.

Description

technical field [0001] The invention relates to the field of one-way wireless transmission communication, in particular to an HMM-based cell switching decision algorithm and a device for applying the cell switching decision algorithm. Background technique [0002] Hidden Markov Model Hidden Markov Model, HMM, as a statistical analysis model, was founded in the 1970s. In the 1980s, it was disseminated and developed, and it was applied to speech recognition and achieved great success. In the 1990s, HMM was also introduced into the "multi-user detection" in the core technology of computer text recognition and mobile communication. It has been successfully used in the fields of bioinformatics, speech recognition, behavior recognition, text recognition and fault diagnosis. [0003] The HMM model is used to describe a Markov process with hidden unknown parameters. Its main concept is to determine the hidden parameters of the process from the observable parameters, and then use t...

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Problems solved by technology

[0006] The present invention aims at the disadvantages of the prior art that the cell handover algorithm process is too cumbersome, has many steps, and a large amount of calculation, etc., and provides a new type of HMM-based cell handover decision algorithm with fewer process steps and less calculation amount. its device

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