A Cognitive Network Dynamic Access Method Oriented to Network Service Characteristics

Abstract

The invention discloses a cognitive network dynamic access method oriented to network service characteristics, belongs to the technical field of wireless communication networks, and particularly relates to a cognitive network dynamic access method oriented to network service characteristics. The method proposed by the present invention can transmit data packets through the transmission radius as close as possible to the maximum transmission radius of each slave user that meets the network service characteristics, thus having a larger available time ratio and a larger coverage area, and has a larger Channel utility and better network connectivity. The method of the invention utilizes the logarithmic normal distribution to characterize the primary user behavior in the cognitive network, and uses opportunistic spectrum access to obtain the perception state of the channel. By controlling the transmission radius of the slave user, the master user and the slave user can use the channel at the same time, thereby improving the channel utility. In future work, the influence of network traffic changes and user behaviors will be considered, and the method proposed in this invention will be implemented in large-scale real wireless networks.

Description

A Cognitive Network Dynamic Access Method Oriented to Network Service Features technical field The present invention belongs to the technical field of wireless communication networks, and particularly relates to a cognitive network mobility oriented network service feature. state access. Background technique [0002] With the development of multimedia and Internet of Things technologies, technologies such as smart courses, smart schools, and home smart learning have increased. Strong learning applications have received more attention from industry and academia. Based on the universal wireless communication technology, through the cognitive network Effective analysis of network dynamic access methods is important for developing applications for smart schools or personal learning at home. current The wireless network under the network service characteristics encounters the problem of lack of spectrum resources, and more devices need to access the wireless network net...

AI Technical Summary

Problems solved by technology

[0005] At present, researchers have proposed new channel allocation based on social relations and channel conditions, using semi-definite programming to find the optimal solution of its allocation method, and repeated spectrum auction of Bayesian non-parametric learning. These methods objectively improve the network Performance, but consider the simple and ideal state of dynamic access, that is, do not consider the interaction of users when multiple primary users and secondary users that meet the network service characteristics coexist

At present, there are also methods to solve the problem of routing selection and priority of cooperative opportunities in multi-hop mesh networks and improve the throughput, and have made achievements in the problem of dynamic spectrum allocation. However, due to the actual network service characteristics, there are The problem of mutual interference, and the transmission radius of some users will change

Moreover, channel utility is an important indicator in network communication, such as information theory and secondary cooperation for spectrum leasing and multi-hop cooperative routing methods in cognitive networks. Channel utility is not ideal at present

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