Access network selection method based on neural network and fuzzy logic

Abstract

The invention discloses an access network selection method based on a neural network and a fuzzy logic, which mainly solves the problem that the future load change and the parameter uncertainty of a candidate network in the network selection process influence user performance. The method comprises the following implementation processes of: collecting the current load information of a located network and user received signal intensity information by the base station of each candidate network; forecasting the change tendency of the future load of each candidate network by utilizing an integrated BP (Back-Propagation ) neural network; processing the network load and the user received signal intensity information by utilizing the normalization fuzzy logic; calculating the technical indexes ofthe candidate network by utilizing cost functions; comprehensively balancing the technical indexes, the network parameters and the user requirements of the network by utilizing a multi-objective decision to obtain the proper access degree of each candidate network; sending the proper access degree of the network in which the base station is to the user through a wireless enabler by each base station; and after the user compares, selecting the candidate network with the maximum proper access degree as an objective network. The invention can effectively reduce the blocking probability when the user accesses to the network and the interrupting probability in the serving process to realize a function for the user to select the best access network.

Description

technical field [0001] The invention belongs to the field of communication technology, and relates to a method for selecting an access network in a cognitive wireless network environment, which can be used for user access network selection under heterogeneous network conditions. Background technique [0002] In recent years, the wireless communication industry has been greatly developed, and the emergence of various wireless access technologies has formed a complex heterogeneous wireless network environment. At the same time, people have higher and higher requirements on the service quality of wireless services, hoping to obtain network services anytime and anywhere. However, it is impossible for any network to meet the needs of all users due to reasons such as its coverage and bandwidth. Therefore, how to determine an optimal access network for users to meet their service requirements is extremely important. [0003] All network selection methods are based on certain stra...

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Problems solved by technology

This method has a large amount of calculation, and also does not consider the influence of the uncertainty of network selection decision parameters.

[0006] In addition, the current network selection strategy does not take into account the change of network load over time. The result of decision-making is to only select the best network at the access time, without considering the impact of network load changes after the access time on user performance. the impact

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