Modeling of information transmission systems in modern mobile terms

Abstract

The work is dedicated to information transmission systems in modern mobile networks. The main task of any information transmission system is to combat various kinds of interference which lead to distortion or complete information loss and thus reduced communication channel reliability. Therefore, it became necessary to develop adaptive data transmission systems, in which adaptive methods help to achieve high-quality control in the absence of sufficiently complete a priori information about the characteristics of the controlled process or under conditions of uncertainty. The research was carried out on a simulation model of data transmission built on the basis of binary symmetry. The proposed adaptive system is based on the assessment of the state of the data transmission channel, according to which the bit rate of the transmitted data and the parameters of the noise-correcting code are selected, which provides a certain level of errors on the receiving side, taking into account the limited bandwidth of the communication channel. The developed simulation model of adaptation to the state of the communication channel demonstrates the required level of reliability and allows to work with different levels of noise in the communication channels, and the occurrence of an error in the channel can be either uniform during data transmission or random. The results of simulation modeling testify to the correctness of the proposed solution and allow the evaluation the main parameters of information transmission systems in mobile networks. The proposed model of information transmission with adaptation to the state of the communication channel may be applied in modern mobile networks, telecommunications and computer systems with an increased level of quality requirements for information transmitted at low speed, since the proposed solution does not require complex calculations.