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Heterogeneous wireless network access selection method based on fuzzy neural network

A technology of fuzzy neural network and heterogeneous wireless network, which is applied in the direction of biological neural network model, access restriction, wireless communication, etc., and can solve problems such as network load imbalance

Inactive Publication Date: 2010-10-27
JILIN UNIV
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Problems solved by technology

[0007] The technical problem to be solved by the present invention is to provide a heterogeneous wireless network access selection method based on a fuzzy neural network for the problem of unbalanced load between networks in a multi-network coverage environment existing in the prior art

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  • Heterogeneous wireless network access selection method based on fuzzy neural network
  • Heterogeneous wireless network access selection method based on fuzzy neural network
  • Heterogeneous wireless network access selection method based on fuzzy neural network

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Embodiment Construction

[0071] The present invention will be described in detail below in conjunction with the drawings:

[0072] The present invention adopts fuzzy neural network technology for the access selection of heterogeneous wireless networks. The access selection method combines the strong structural knowledge expression ability of fuzzy logic and the strong self-learning ability of neural network, and belongs to the intelligent access selection method. The fuzzy neural network used in the present invention is an RBF (Radial Basis Function, radial basis function) fuzzy neural network, and the difference between the access blocking rates of the two networks is used as the parameter of the input signal of the reinforcement learning algorithm to the RBF fuzzy neural network Make training adjustments.

[0073] Refer to figure 2 , The purpose of the heterogeneous wireless network access selection method based on fuzzy neural network is to comprehensively consider the network resources in multiple ne...

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Abstract

The invention discloses a heterogeneous wireless network access selection method based on a fuzzy neural network, aiming to solve the problem of imbalance loading among networks in a network coverage environment. The access selection method comprises the steps of: 1. prejudging and preprocessing: a. reducing the number of users which need to be processed subsequently; b. computing received signalstrength difference (DRSS) of two networks and access system difference DP of the two networks; 2. obtaining a fuzzy judgment factor FSD by using an RBF fuzzy neural network, wherein the fuzzy judgment factor FSD is obtained by adopting the RBF fuzzy neural network by taking the received signal strength difference (DRSS) of the two networks and the access system difference DP of the two networksas input parameters; 3. access judgment: obtaining an access judgment result according to the fuzzy judgment factor FSD; if the fuzzy judgment factor FSD is less than 0.5, then accessing network 1; if the fuzzy judgment factor FSD is more than 0.5, then accessing network 2; and if the fuzzy judgment factor FSD is equal to 0.5, and then accessing a network with strong signal strength.

Description

Technical field [0001] The present invention relates to an access selection method applied to a wireless network in the field of mobile communication technology, and more specifically, the present invention relates to a heterogeneous wireless network access selection method based on a fuzzy neural network. Background technique [0002] The development trend of next-generation mobile communications (Beyond 3G) is not to build a brand-new network with perfect functions, but to consider existing and to-be-deployed networks, make them coordinated and easily integrated, and maintain communication between multiple wireless networks. Continuity. At present, each wireless access technology has its own strengths and weaknesses in terms of capacity, coverage, data rate, and mobility support capabilities, and it is impossible for any wireless access technology to meet the requirements of all users. [0003] One of the main features of future mobile communication networks is the coexistence o...

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Application Information

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IPC IPC(8): H04W28/08H04W48/06G06N3/02
Inventor 石文孝范绍帅王柟赵嵩夏传军李斌
Owner JILIN UNIV
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