Dynamic network selection method for optimizing quality of experience (QoE) of user in heterogeneous wireless network

Abstract

The invention discloses a dynamic network selection method for optimizing the quality of experience (QoE) of a user in a heterogeneous wireless network. According to the method, an access network is periodically and dynamically updated according to the type of transmitted service and a network in which the current user accesses. The method comprises the following steps of: constructing user QoE demand functions of three service types and initializing variables in Q learning; performing network selection decision and execution switching by a Q learning method; and updating the variables in the Q learning method. According to the method, from the visual angle of the user, different service characteristics are distinguished, and the QoE of the user is optimized. According to the dynamic network selection method disclosed by the invention, heterogeneous wireless network resources can be efficiently used; based on reinforced learning, transcendental network state information is not needed; and the dynamic network selection method is higher in flexibility and can be suitable for various dynamic network environments.

Description

technical field [0001] The invention relates to the field of wireless access networks in communication networks, and specifically proposes a dynamic network selection method for optimizing user QoE based on reinforcement learning without relying on prior state information of heterogeneous networks. Background technique [0002] With the rapid development of wireless communication technology, global wireless communication data services are growing rapidly. On the one hand, mobile broadband data services have surpassed voice services and will continue to grow (exponential speed). It is estimated that in 2015, per capita monthly data traffic consumption will be 1GB. On the other hand, users have higher and higher expectations for wireless data transmission quality. In order to meet the ever-increasing demand for wireless data transmission and further improve the performance of wireless communication systems, heterogeneous wireless network architecture is an effective solution ...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to address the problem of dynamically changing user QoE requirements and unknown prior information of network status in heterogeneous wireless networks

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