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Investigation of the effectiveness of the algorithm machine learning cognitive radio system to work with dynamic data transfer channels

Stenin Alexander Vladislavovich  (post-graduate student of the Siberian State University of Telecommunications and Informatics Science)

This paper deal with algorithms are considered that make it possible to select and change the radio frequency channel in the cognitive radio system based on the theory of machine learning. The investigated work of the algorithm under conditions with specified dynamic channels in the beam with the help of simulation modeling. The work uses channel bundles containing precedents necessary for machine learning systems. A comparative analysis of the results of the algorithm on the operation of the system in a single-channel mode is performed.

Keywords:cognitive radio, radio channel change, machine learning.
 

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Citation link:
Stenin A. V. Investigation of the effectiveness of the algorithm machine learning cognitive radio system to work with dynamic data transfer channels // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2018. -№07. -С. 136-142
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