TELKOMNIKA Telecommunication Computing Electronics and Control
Implementation and analysis of 5G network identification operations at low signal-to-noise ratio
Dublin Core
Title
TELKOMNIKA Telecommunication Computing Electronics and Control
Implementation and analysis of 5G network identification operations at low signal-to-noise ratio
Implementation and analysis of 5G network identification operations at low signal-to-noise ratio
Subject
5G mobile networks
Correlation
OFDM
Signal-to-noise ratio
Synchronization
Correlation
OFDM
Signal-to-noise ratio
Synchronization
Description
The article investigates the operations of identifying a cellular network and
searching for a cell at various signal-to-noise ratios. The estimation of
frequency and time displacement, criteria for detecting the primary
synchronization signal are presented. The main contribution of this article is
the consideration of the step-by-step execution of the 5G cell search
procedure in a complex interference environment. The decoding steps of the
primary and secondary synchronization signals are being investigated. This
is achieved by analyzing the signals at each step of the correlation algorithm
for different signal-to-noise ratios. In order to verify the adequacy of the
proposed models, a sequence operation for synchronizing 5G mobile
networks with base station signals is considered. The dependence the
magnitude of the error vector modulus on the signal-to-noise ratio of a
physical broadcasting channel is investigated for three different channel
profiles without line of sight. As a result of the experiment, the error vector
of the physical broadcast channel changes from 55% to 10%, when the
signal-to-noise ratio changes from 0 to 20 dB. In the multiple-input multiple-
output (MIMO) mode, we received a 3 dB increase in communication
energy efficiency. The findings will be useful for 5G system designers to
troubleshoot synchronization problems.
searching for a cell at various signal-to-noise ratios. The estimation of
frequency and time displacement, criteria for detecting the primary
synchronization signal are presented. The main contribution of this article is
the consideration of the step-by-step execution of the 5G cell search
procedure in a complex interference environment. The decoding steps of the
primary and secondary synchronization signals are being investigated. This
is achieved by analyzing the signals at each step of the correlation algorithm
for different signal-to-noise ratios. In order to verify the adequacy of the
proposed models, a sequence operation for synchronizing 5G mobile
networks with base station signals is considered. The dependence the
magnitude of the error vector modulus on the signal-to-noise ratio of a
physical broadcasting channel is investigated for three different channel
profiles without line of sight. As a result of the experiment, the error vector
of the physical broadcast channel changes from 55% to 10%, when the
signal-to-noise ratio changes from 0 to 20 dB. In the multiple-input multiple-
output (MIMO) mode, we received a 3 dB increase in communication
energy efficiency. The findings will be useful for 5G system designers to
troubleshoot synchronization problems.
Creator
Ilya Pyatin, Juliy Boiko, Oleksander Eromenko, Igor Parkhomey
Source
http://telkomnika.uad.ac.id
Date
Dec 28, 2022
Contributor
peri irawan
Format
pdf
Language
english
Type
text
Files
Collection
Citation
Ilya Pyatin, Juliy Boiko, Oleksander Eromenko, Igor Parkhomey, “TELKOMNIKA Telecommunication Computing Electronics and Control
Implementation and analysis of 5G network identification operations at low signal-to-noise ratio,” Repository Horizon University Indonesia, accessed April 26, 2025, https://repository.horizon.ac.id/items/show/4527.
Implementation and analysis of 5G network identification operations at low signal-to-noise ratio,” Repository Horizon University Indonesia, accessed April 26, 2025, https://repository.horizon.ac.id/items/show/4527.