Structural-semantic model of communication channel

Zhyvotovskyi, Ruslan; Shyshatskyi, Andrii; Petruk, Sergii

doi:10.1109/infocommst.2017.8246454

Cited by 14 publications

(25 citation statements)

References 2 publications

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“…Exact mathematical expressions for calculating the bit error probability for phase-modulated (PM), quadrature amplitude-modulated (QAM) and hierarchically quadrature-modulated (HQM) signals are given in [20][21][22][23].…”

Section: Verification Of the Adequacy And Reliability Of The Proposedmentioning

confidence: 99%

Development of a complex mathematical model of the state of a channel of multi-antenna radio communication systems

Kalantaievska

Kuvshynov

Shyshatskyi

et al. 2019

EEJET

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Section: Verification Of the Adequacy And Reliability Of The Proposedmentioning

confidence: 99%

Development of a complex mathematical model of the state of a channel of multi-antenna radio communication systems

Kalantaievska

Kuvshynov

Shyshatskyi

et al. 2019

EEJET

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“…-the combination of the impulse response of the channel state, the frequency response of the channel status, and the bit error probability is not used for the estimation [1][2][3][4][5][6][7][8][9][10][11][12][13][14].…”

Section: Discussionmentioning

confidence: 99%

Analysis of the Known Methods of Channels Communication Control With the Interference and Selective Fading

Zhyvotovskyi

Momit

Onbinskyi

et al. 2019

A.I.S.

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Ab s t r a c t. Designing adaptive radio systems, depending on their purpose, solves the problem of optimizing one of the performance indicators with restrictions on others. In turn, the development and implementation of adaptive information sharing techniques require the establishment of effective procedures for monitoring and predicting the status of communication channels and the quality of information transmission. Given the rapid development of electronic warfare facilities, the expansion of the list of interferences that can be created by these complexes, it is great relevance for further scientific research on the creation of new methods of monitoring the status of the communication channel. In this research, the authors analyzed the characteristics of the main methods for assessing the status of communication channels. In the course of the analysis, the authors used general scientific methods of analysis and synthesis, the basic provisions of communication theory, data transfer theory, space-time coding theory, noise immunity theory, signal-code theory, etc. The authors of the article analysis of the known methods of estimating the state of the channel of multi-antenna communication systems showed that the known scientific articles do not contain the following: parallel estimation of the status of the channel by several indicators; obtaining a generalized channel status assessment; continuous evaluation of several characteristics in real-time; at the same time evaluate both the lines down and the lines up; the combination of the impulse response of the channel state, the frequency response of the channel status, and the bit error probability is not used for the estimation. It is established that at present there is no universal method of monitoring the status of channels of multiantenna radio communication systems, which would give an accurate, fast estimate of the status of the channel in real-time, which would allow effective adaptation in a channel with non-stationary parameters. K e ywor d s : signal-to-noise ratio; data rate; bit error probability; space-time processing; MIMO system; parallel channels.

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“…Depending on the estimation criterion or the algorithm used to compute unknown parameters, these methods are called differently [28][29][30][31]:…”

Section: Analysis Of the Existing Scientific And Methodological Apmentioning

confidence: 99%

“…Solution of the problem of optimal filtering for the model of state and observation described by equations (8) and (9) leads to the following recurrent computational algorithm [29]:…”

Section: Estimation Of Frequency Response Of the Channel (Action 3 Inmentioning

confidence: 99%

Method of integral estimation of channel state in the multiantenna radio communication systems

Kalantaievska

Pievtsov

Kuvshynov

et al. 2018

EEJET

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Structural-semantic model of communication channel

Cited by 14 publications

References 2 publications

Development of a complex mathematical model of the state of a channel of multi-antenna radio communication systems

Development of a complex mathematical model of the state of a channel of multi-antenna radio communication systems

Analysis of the Known Methods of Channels Communication Control With the Interference and Selective Fading

Method of integral estimation of channel state in the multiantenna radio communication systems

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