Wireless network switching management method and system

Abstract

The invention discloses a wireless network switching management method and system; the method uses software to define network inherent centralized control and programmability advantages, and fully considers influences on the network switching management strategy performance by multi factors such as the network, users and applications; the method selects a plurality of influence factors as the input parameters, such as user mobility, network states and user preferences, senses network demands in many aspects, and uses fuzzy logical reasoning to obtain the final network scoring result so as to provide a network switching final decision. The method considers objective factors on the network side and the user side, and considers user subjective customized demand preferences, thus providing differentiated network switching management services for different users.

Description

technical field [0001] The invention belongs to the technical field of mobile wireless networks, and in particular relates to a wireless network switching management method and system. Background technique [0002] The quality of service of wireless network services is affected by various factors such as user mobility and the complexity of the wireless network itself. The current network handover management has transitioned from relatively single policy decision factors to multi-attribute decision-making network handover management. Especially when more and more information (such as GPS distance, GPS angle, GPS speed, etc.) can be collected on mobile devices, multi-attribute network switching management strategies can better and more reasonably judge whether the network is most suitable for mobile users . Therefore, in a complex multi-coverage wireless network environment, how to better select and access a suitable network has become a research hotspot for further improvin...

AI Technical Summary

Problems solved by technology

However, the increase in the decision factors of the network switching management strategy has brought great benefits but also brought new problems. For example, the various external data collected are not accurate numerical data, but are more noisy or use natural language. Described parameters (such as users' subjective preferences), and data of different dimensions also have different evaluation criteria

The biggest limitation of the existing

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