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The author: Lavrenkov Y. Published in № 2(74) 27 april 2018 year
Rubric: Network Technologies

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Optimal redistribution of radio frequencies based on reverberative spiking neuron networks interacted with communication electronics

The article deals with application of spiking neural network for solving the problem of optimal frequency redistribution within the group of wireless communication systems. Large number of communication electronics and complicated methods of their interacting to jointly operate cause the complexity of the optimal frequency distribution. Solving this problem using Monte Carlo methods and global search algorithms leads to the elaboration of many possible frequency assignment options. When designing the algorithms for operational frequency readjustment, it is necessary to take into account both intermodulation effects and group interference effects. Multilayer neural network is composed of spiking neural elements, which architecture is based on interacting reverberative loops. Examined electro- optic commutation system is the base for architecting of communication system between neurons, enabling mixing of neural element signals. Application of optical communication and liquid crystal modulators simplifies the signal propagation process to multitude of neurons and chaning of its settings, enabling data processing not only in neurons, but also in pulse transmission systems. The optical switching system is used not only as a communication system, but also as snooping mechanism for neural network rhythmicity changes. Application of electrochemical analog integrating element enables to acquire data about activity of neuronal groups over a long time interval. Obtained activity values are used to improve the efficiency of applied learning algorithm. Data are encoded into spike pulse sequences within groups of 5 neurons based on pulsed phase modulation. This enables to adapt the learning algorithm for networking within the set of interacting neural populations. Designed neural network structure is used to solve the task of frequency dynamic assigning and defining the transmitter activity intervals under changable electromagnetic environment.

Key words

spiking neural networks, electrooptic neural switching system, centralized scheme for global parallel search, electrochemical integrator, optical interneuronal connection.