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 cognitive network dynamic access oriented to the network service characteristics. According to the method provided by the invention, the data packet can be transmitted through the transmission radius as close as possible to the maximum transmission radius of each slave user conforming to the network service characteristics, so that the method has a larger available time ratio and a larger coverage range, and has larger channel utility and better network connectivity. According to the method, logarithmic normal distribution is used for representing main user behaviors in a cognitive network, and opportunistic spectrum access is used for obtaining the perception state of a channel. By controlling the transmission radius of the slave user, the master user and the slave user can use thechannel at the same time, so that the channel utility is improved. In future work, the influence of network flow changes and user behaviors is considered, and the method provided by the invention is implemented in a large-scale real wireless network.

Description

technical field [0001] The invention belongs to the technical field of wireless communication networks, in particular to cognitive network dynamic access oriented to network service characteristics. Background technique [0002] With the development of multimedia and Internet of Things technologies, technology-enhanced learning applications such as smart courses, smart schools, and smart learning at home have received more attention from industry and academia. Based on pervasive wireless communication technologies, efficient analysis of dynamic access methods through cognitive networks is important for developing applications for smart schools or individual learning at home. The wireless network under the current network service characteristics encounters the problem of lack of spectrum resources, and more devices need to access the wireless network [0003] Due to the fixed allocation strategy of traditional radio spectrum resources, the utility of current spectrum resourc...

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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