User and network two-way selection method in heterogeneous wireless network

Abstract

The invention discloses a user and network two-way selection method in a heterogeneous wireless network. By comprehensively considering user preference, business requirements, support degree and self benefit of the network to a user, a user side uses an FAHP plus MSD plus TOPSIS fusion to order overall performances of candidate networks while a plurality of users initiate service access requests in a group in the heterogeneous wireless network; the network side combines a multi-attribute decision-making and benefit function to perform preference sequencing to the users who request to access, and by using dynamic matching game, the user side and the network side simultaneously start matching windows to perform many-to-many game. The obvious feature of the invention is that the user and the network could participate in the selecting process so that the user requirement, preference and change could be comprehensively considered. The method of the invention could equalize network load, improve network resource utilization rate and benefit, and realize optimal overall satisfaction of the user and the network.

Description

technical field [0001] The present invention relates to the field of mobile communication, specifically, in a heterogeneous wireless network, when multiple users initiate service access requests at the same time or switch due to movement, each candidate network is sorted, and each candidate network also sorts users to balance the network load , a method to realize two-way optimal matching selection between users and the network. Background technique [0002] The rapid growth of mobile communication services and the continuous improvement of service quality requirements have prompted the continuous development of wireless communication technologies. Different communication systems can provide different communication services, but the characteristics are relatively simple. For example, although the wide area mobile network can support roaming and mobility, but the data transmission rate is low, and although the wireless local area network can provide high-speed access services...

AI Technical Summary

Problems solved by technology

However, the multi-attribute decision-making algorithm can only access one user in a round, and is only suitable for single-user access selection scenarios where users arrive one after another. In practical applications, it is inevitable that multiple users will initiate service access requests collectively. A group access request that occurs when a user in a vehicle moves from one network to another or a group access request initiated by multiple users simultaneously in a dense crowd

At this time, when the traditional multi-attribute decision-making algorithm is used for network selection, it is easy to cause problems such as low access efficiency, high access failure rate, and low user satisfaction.

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