Heterogeneous wireless network selection method based on utility function

Abstract

The invention discloses a heterogeneous wireless network selection method based on a utility function. The method includes the following specific steps: (1) acquiring network attribute data and a current user service type, wherein the network attribute data includes available bandwidth, network costs, energy consumption and network load, and the user service type includes voice, data and videos; (2) constructing a utility function for each decision network attribute, and solving a utility value of the corresponding attribute according to the utility function of the network attribute, wherein the relationship between the attribute value and the user satisfaction determines the utility function that is used; (3) constructing a utility matrix according to the solved utility value of the network attribute in each network; (4) constructing a comprehensive weight according to a subjective weight and an objective weight; and (5) calculating the comprehensive utility of networks, and selectingan optimal network for access. According to the scheme of the invention, the user preferences, network states, energy consumption of equipment, network costs and network load are comprehensively considered, and the selected optimal network can achieve an optimal balance between the QoS and the network load.

Description

technical field [0001] The invention relates to the field of heterogeneous wireless networks, in particular to a method for selecting a heterogeneous wireless network based on a utility function. Background technique [0002] In the traditional heterogeneous wireless network selection, the selection of the optimal network generally depends on multiple attributes such as bandwidth, delay jitter, energy consumption, price, etc., that is, the selection of the optimal network in the heterogeneous wireless network is a multi-attribute decision-making problem . In the decision-making process, most literatures standardize the actual measured attribute value as the decision value of the multi-attribute decision-making algorithm. However, different services (such as voice, video conferencing, and video streaming, etc.) have different requirements on the network. For example, for bandwidth, the speed of voice is generally tens of Kb, but it is not enough for video conferencing, that ...

AI Technical Summary

Problems solved by technology

The subjective weighting method determines the weight according to the decision-maker's subjective cognition of the importance of each attribute, and the subjective randomness is relatively large

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