Vertical switching system based on personalized consumption preferences in heterogeneous wireless network

Abstract

The invention requests to protect a vertical switching system based on personalized consumption preferences in a heterogeneous wireless network, and provides a vertical switching algorithm based on personalized consumption preferences in order to solve the problem of how to improve user experience on the premise of meeting basic requirements of users in a heterogeneous wireless network environment. Firstly, parameter processing is carried out in a preprocessing module in combination with a current service to obtain network related parameters meeting basic requirements of the service; secondly, a personalized consumption preference weight of the user is obtained through a data mining module of the network side; and finally, a user-defined utility function is constructed in combination with the related parameters and the personalized consumption preference weight, and a target network is selected by comparing the comprehensive utility values of the user to the candidate networks. A simulation result shows that the algorithm enables the user to access the network meeting the personalized consumption preference, reduces the algorithm time overhead and the network congestion rate, and improves the throughput and the user experience.

Description

technical field [0001] The invention belongs to a network selection method in a heterogeneous wireless network and belongs to the field of mobile communication. In particular, it relates to a vertical handover method based on personalized consumption preferences in a heterogeneous wireless network. Background technique [0002] With the rapid development of wireless communication technologies, a heterogeneous wireless network environment in which multiple wireless access technologies coexist has gradually formed. In a heterogeneous wireless network environment, network switching between different access technologies is called vertical switching, and there are large differences in transmission rate, service fee, service experience, etc., and it also provides users with more choices. In this field, how to improve user experience while meeting the basic needs of users has become a hot research issue in both academia and industry. [0003] Literature [Bin MA, Shangru LI, Xianz...

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Problems solved by technology

In addition, although the above literature considers historical information, it is still not enough to mine it, ignoring the individual needs of users for the network, especially in the context of the big data era, how to make good use of the historical information of users accessing heterogeneous wireless networks Personalized preferences to assist switching and improve user experience has become an urgent problem to be solved

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