Network selecting method and device in heterogeneous wireless network

Abstract

The invention provides a method for selecting a network in a heterogeneous wireless network and the method comprises the steps that: the weight is distributed to at least one attribute value to the network and a mobile terminal; the weight vector, the utility function of a corresponding network, the network attribute value collected by the mobile terminal and the attribute value of the mobile terminal itself of the attribute to which the weight is distributed are inputted into an attribute matrix; the evaluation value of each candidate network is calculated by utilizing the attribute matrix; a final target network is then determined on the basis of the obtained evaluation value of each candidate network. In addition, the invention also includes a device for selecting a network in the heterogeneous wireless network.

Description

Method and device for selecting network in heterogeneous wireless network technical field The present invention relates to a method and device for network selection in a heterogeneous wireless network environment, in particular to a user-centered network selection method and device based on multiple attribute decision making (MADM: Multiple Attribute Decision Making) and characteristics of wireless heterogeneous networks . Background technique With the rapid development of wireless communication technology and network, users will be able to access the information and services they need anytime and anywhere. The future wireless communication system is a hybrid system composed of multiple wireless networks using different access technologies, and these different access technologies complement each other. Fig. 1 shows a schematic diagram of a heterogeneous wireless network environment. In a heterogeneous wireless network environment, a mobile terminal can be covered by mul...

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Problems solved by technology

Therefore, this method has poor scalability and flexibility.

In addition, it is less practical for the method based on the cost function, which uses the ln(·) function to process the attribute value of the network

However, when two networks have a certain attribute value of 0, for example, when both networks are free, this cost function-based method will not be able to distinguish the difference between the two networks in other attributes, because in this In this case, no matter what the other properties of the two networks are, the cost value of the two networks is -∞

There are three main problems in the classic multi-attribute decision-making

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