2021
DOI: 10.3390/s21113626
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Analysis of Non-Stationarity for 5.9 GHz Channel in Multiple Vehicle-to-Vehicle Scenarios

Abstract: The vehicle-to-vehicle (V2V) radio channel is non-stationary due to the rapid movement of vehicles. However, the stationarity of the V2V channels is an important indicator of the V2V channel characteristics. Therefore, we analyzed the non-stationarity of V2V radio channels using the local region of stationarity (LRS). We selected seven scenarios, including three directions of travel, i.e., in the same, vertical, and opposite directions, and different speeds and environments in a similar driving direction. The … Show more

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Cited by 8 publications
(6 citation statements)
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References 36 publications
(53 reference statements)
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“…We divided our experiment into several stages, which are outlined as follows: (1) data acquisition from a 5G system; (2) data preprocessing; (3) feature extraction; (4) the grouping of similar features in throughput traces into clusters; (5) training a separate LSTM model for every clustered trace; and (6) the prediction of the next throughput value, including data postprocessing to ascertain the final forecasts. Figure 1 illustrates the workflow of our data processing and forecasting.…”
Section: Theoretical Backgroundmentioning
confidence: 99%
See 1 more Smart Citation
“…We divided our experiment into several stages, which are outlined as follows: (1) data acquisition from a 5G system; (2) data preprocessing; (3) feature extraction; (4) the grouping of similar features in throughput traces into clusters; (5) training a separate LSTM model for every clustered trace; and (6) the prediction of the next throughput value, including data postprocessing to ascertain the final forecasts. Figure 1 illustrates the workflow of our data processing and forecasting.…”
Section: Theoretical Backgroundmentioning
confidence: 99%
“…The radio environment is dynamic, and even small changes in distance can significantly alter its properties [5]. Because of this, the throughput of wireless networks can fluctuate rapidly due to various random factors, including environmental conditions.…”
Section: Introductionmentioning
confidence: 99%
“…It is optimal for stationary channels and, in addition, it is able to consider and exploit the users' channel diversity. However, V2X communications are characterized by non-stationary channels [39,40,41], and the temporal duration of a connection with a gNB can be very short (few seconds) [42]. For this reasons, PF easily loses its ef icacy.…”
Section: Related Workmentioning
confidence: 99%
“…In this regard, some methods as to how to assess the degree of non-stationarity have been put forward, where most of them revolve around correlation metrics and spectral divergences typically applied to the power-delay-profile (PDP), shadow fading, local scattering function (LSF), or some other time/location evolutionary channel characteristic. Some of these methods are well tailored to multiple-input-multipleoutput (MIMO) systems like the correlation matrix distance (CMD) found in [6]- [8] , and for single-input-single-output (SISO) systems, power correlation methods are a frequent choice [9]- [11]. Another utility for the QSRs comes in the form of deterministic simulation sampling for non-stationary conditions.…”
Section: Introductionmentioning
confidence: 99%