A Vertical Switching Method Based on Neural Network Multi-attribute Decision

A neural network and vertical switching technology, which is applied in the field of vertical switching based on neural network multi-attribute judgment, can solve problems such as unstable performance and low switching success rate of vertical switching algorithms, and achieve low complexity, comprehensive network attribute factors, rich The effect of the type and scope of application

Active Publication Date: 2022-05-24
SHANDONG UNIV OF SCI & TECH
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Problems solved by technology

[0004] Aiming at the above-mentioned problems existing in the prior art, the present invention proposes a vertical handover method based on neural network multi-attribute judgment, which solves the problem of low handover success rate and unstable performance of the vertical handover algorithm under the condition of heterogeneous converged network environment

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  • A Vertical Switching Method Based on Neural Network Multi-attribute Decision
  • A Vertical Switching Method Based on Neural Network Multi-attribute Decision
  • A Vertical Switching Method Based on Neural Network Multi-attribute Decision

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Embodiment Construction

[0049] Below in conjunction with specific embodiments, the present invention will be further illustrated, and it should be understood that these embodiments are only used to illustrate the present invention and not to limit the scope of the present invention. The modifications all fall within the scope defined by the appended claims of this application.

[0050] like figure 1 Shown is the algorithm operation flow chart of the embodiment of the present invention, including five processes:

[0051] (1) When the user terminal collects the relevant network attribute parameter values ​​in the heterogeneous converged network environment composed of five major wireless networks, the vertical handover algorithm starts to run.

[0052] (2) Next, the collected six types of network attribute parameters are sent to the input layer neurons of the three-layer BP neural network model represented by the five major networks respectively.

[0053] (3) For the collected values ​​of network env...

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Abstract

The invention discloses a vertical switching method based on neural network multi-attribute judgment, and specifically relates to the technical field of communication network seamless switching. The present invention sets up a network environment in which UMTS, GSM, WLAN, 4G, and 5G networks coexist, constructs their respective three-layer BP neural network models, and performs structural design of the input layer, hidden layer, and output layer; the terminal collects six attributes The value of the element is input into the model for training, numerical approximation and prediction, and finally evaluates the performance of the entire network to obtain relevant values ​​such as the handover success rate, and provides feedback information for the operation process of the entire algorithm based on the evaluation and analysis results. This method can effectively improve the success rate of vertical handover between wireless networks, reduce the "ping-pong effect", and then successfully realize the seamless handover between multiple heterogeneous networks, so that the high-quality operation of the wireless network in the entire heterogeneous converged network environment can be obtained. Effective maintenance.

Description

technical field [0001] The invention belongs to the technical field of seamless switching of communication networks, in particular to a vertical switching method based on neural network multi-attribute judgment in heterogeneous fusion networks. Background technique [0002] In recent years, with the rapid development of wireless communication network technology and the rapid advancement of network access technology under the heterogeneous fusion architecture, many different types of wireless networks exist simultaneously. Different networks compete with each other and complement each other, resulting in the coexistence of multiple network relationships. In order to meet the needs of users at different levels and the development of various types of services, wireless networks with different architectures have formed multiple and comprehensive networks in a state of heterogeneous fusion. Among them, the WLAN network and the Cellular series network Mutual integration is the mo...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04W36/00H04W36/14G06N3/02G06N3/08
CPCH04W36/0016H04W36/14G06N3/084G06N3/02
Inventor 陈赓孙红雨谭晓楠曾庆田邵睿徐先杰张旭
Owner SHANDONG UNIV OF SCI & TECH
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