Method of Forecasting the Duration of Data Transmission Routes in Mobile Radio Networks

Oleg Sova,Halyna Zubrytska,Oleksii Nalapko,Andrii Shyshatskyi,Viktor Ostapchuk,Victor Golub

doi:10.1109/ukrcon.2019.8879978

Method of Forecasting the Duration of Data Transmission Routes in Mobile Radio Networks

Oleg Sova, Halyna Zubrytska + Show 4 more

https://doi.org/10.1109/ukrcon.2019.8879978

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Publication Date: Jul 1, 2019

Citations: 8

Affiliation: Military Institute of Telecommunications and Informatization, Jagiellonian University, Central Scientific Research Institute of Armament and Military Equipment of the Armed Forces of Ukraine

#Mobile Radio Link #Data Transfer Routes + Show 8 more

Abstract
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Abstract

The method of forecasting the time of overloading of data transfer routes in the mobile radio link (MRL), which is constructed using the neural network of Elman based on the calculation of the potential of neurons in the network is presented. The essence of the method is to make a decision on finding new routes based on the predicted time of overloading the data transfer routes in the MRL. This method allows predicting the time of overloading of data transfer routes in the MRL due to the reduction of the computational complexity of the neural network and the application of the algorithm for training the neural network.

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