Cognitive network dynamic access method oriented to network service characteristics

A cognitive network and dynamic access technology, applied in network planning, advanced technology, electrical components, etc., can solve problems such as unsatisfactory channel utility, mutual interference between users, and changes in transmission radius

Active Publication Date: 2020-02-04
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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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 ro

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  • Cognitive network dynamic access method oriented to network service characteristics
  • Cognitive network dynamic access method oriented to network service characteristics
  • Cognitive network dynamic access method oriented to network service characteristics

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[0133] In the actual simulation process, in order to better illustrate the advantages of the algorithm, the simulation scene of the present invention includes 20 pairs of primary users (that is, 20 channels that can be used by secondary users) in the network that meet the network service characteristics, different scales from the user, and utilize multi-hop communication from the source node to the destination node. Parameters include penalty factor C=20, reward factor R=1, perception time T S = 30, transmission time T K = 5, total duration I max =100, and let g 0 =0,g 1 = 1, P f = 1 and P d =1. Current research has reported a method that utilizes ACK and NACK to achieve better performance, while it only uses a single master user and a single slave user. In order to compare the algorithms proposed by the present invention fairly, the method also uses lognormal distribution to characterize the behavior of the primary user in this paper, and it is called Single Channel Ba...

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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...

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Application Information

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IPC IPC(8): H04W16/14H04W74/08
CPCH04W16/14H04W74/0808Y02D30/70
Inventor 王梓岳蒋定德齐盛王雨晴
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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