Network selecting method based on multi-attribute decision-making and group decision-making

Abstract

Network selecting is a key problem of wireless resource management under a heterogeneous network scene. The invention provides a network selecting method based on multi-attribute decision-making and group decision-making. First, a subjective decision-making result and an objective decision-making result are obtained through a multi-attribute decision-making method, the subjective decision-making result and the objective decision-making result are obtained through a level analysis method and an entropy weight method respectively, then the subjective decision-making result and the objective decision-making result are combined through the group decision-making, compatible theory in the group decision-making is adopted for judging rationality of the combined result, whether the combined result has rationality is judged, if the result is not reasonable, decision-making is required, and combination is conducted again. The decision-making is conducted for a network according to the combined result, and a suitable network is selected for users. The network selecting method not only gives consideration to objective attribute, but also gives consideration to preference of the users, and the users can not select some networks with poor performance according to preference of the users. The network selecting method not only can effectively reduce times of switching, but also can provide satisfactory service quality for the users.

Description

technical field [0001] The invention relates to a network selection method based on multi-attribute decision-making and group decision-making in a heterogeneous wireless network, and belongs to the technical field of wireless communication. Background technique [0002] With the development of communication technology, there are many wireless communication systems suitable for different scenarios, such as GSM, WCDMA, WiMAX, Wi-Fi and LTE. There are big differences, and the scenarios they apply to have different emphases, and it is difficult to replace each other. The development trend of next-generation wireless networks is undoubtedly the integration of these heterogeneous networks, but the main difficulty brought about by the integration of heterogeneous networks is the network selection problem to be performed when accessing or switching. The task of network selection is to provide users with satisfactory service quality while reducing the service cost as much as possib...

AI Technical Summary

Problems solved by technology

Considering that in the actual network selection, not only the objective attributes of the network but also the user's preferences need to be considered, so many literatures combine subjective and objective decision-making methods for network selection, and the obtained two sets of weight vectors are passed through a simple linear Weighted to form a new weight vector, but there is no discussion on how to select linear weighting factors and the rationality of the synthetic weight vector

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