Network selection method based on weighted optimal bipartite graph matching

Abstract

The invention provides a network selection method based on weighted optimal bipartite graph matching. The network selection method based on weighted optimal bipartite graph matching comprises the following steps that (1) the parameters of user present service quality, service demands and network performance all serve as input parameters and applied to the network selection process in a cloud processing center; (2) if the number of users is larger than the number of candidate networks, multi-user fair scheduling is conducted firstly; (3) a bipartite graph model is created for the network selection question; (4) the matching degree of the demands and the network performance of each pair of users is calculated, and network selection based on bipartite graph optimal matching is achieved; (5) the network load conditions are detected, and other networks are reselected for the users in an overload network and the users with access being blocked. According to the network selection method based on weighted optimal bipartite graph matching, a heterogeneous network convergence scene is combined with the multi-user scheduling technology, a complicated problem is divided into simple partial problems to be solved, and low-complexity optical network selection integrating the user demand and the network performance is achieved.

Description

technical field [0001] The invention relates to a multi-user network selection method in a heterogeneous fusion network system, and belongs to the technical field of wireless communication. Background technique [0002] With the rapid development of wireless communication technology, wireless access technologies emerge in an endless stream, forming a heterogeneous network environment. Making full use of the complementary characteristics of different networks to realize the organic combination of heterogeneous wireless network technologies is the development trend of wireless communication technology and an effective way to achieve optimal use of network resources and the best user experience. Network selection is one of the key technologies to ensure service quality assurance in a heterogeneous network convergence environment. It is of great significance in rationally configuring network resources, maximizing network utilization, and achieving optimal access with the best ex...

AI Technical Summary

Problems solved by technology

Some research literature takes network resources and competition costs as the main considerations for network selection, which cannot represent the full performance of users in the network, and may easily lead to vicious competition and unbalanced matching of resources and loads.

However, the method that fully considers all performance parameters on the user side and the network side generally has high complexity and is not suitable for changing heterogeneous network states.

[0004] Single consideration of user-side or network-side performance parameters in network selection will make resource utilization unfair, resulting in resource waste or load congestion

The network selection method that fully considers the influence of multiple factors is likely to lead to complex algorithms, and it is difficult to use the multi-variable heterogeneous network integration environment

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