2021
DOI: 10.1109/access.2021.3100676
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Multi-Node Vehicular Wireless Channels: Measurements, Large Vehicle Modeling, and Hardware-in-the-Loop Evaluation

Abstract: Understanding multi-node vehicular wireless communication channels is crucial for future time-sensitive safety applications for human-piloted as well as partly autonomous vehicles on roads, railways and in the air. These highly dynamic wireless communication channels are characterized by rapidly changing channel statistics. In this paper we present the first fully mobile multi-node vehicular wireless channel sounding system, which is capable of simultaneously capturing multiple channel frequency responses, ens… Show more

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Cited by 10 publications
(3 citation statements)
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“…The size of the stationarity region is denoted with M snapshots in the time domain and N samples in the frequency domain. Following [ 19 ], we use and henceforth drop . The local scattering function is estimated as in [ 35 ]: where is the delay index, and is the Doppler index.…”
Section: Analysis and Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…The size of the stationarity region is denoted with M snapshots in the time domain and N samples in the frequency domain. Following [ 19 ], we use and henceforth drop . The local scattering function is estimated as in [ 35 ]: where is the delay index, and is the Doppler index.…”
Section: Analysis and Discussionmentioning
confidence: 99%
“…With a measurement setup in place, channel measurements are needed to extract the relevant parameters for realistic channel models. In [ 18 , 19 , 20 , 21 , 22 ], measurements of distributed channels were made. For the topic of joint communication and sensing, work has been done mainly in the mmWave bands in [ 23 , 24 ].…”
Section: Introductionmentioning
confidence: 99%
“…Vehicular channels differ significantly from cellular communication channels due to the constantly changing surroundings in which they operate. Traditional approaches for vehicular channel modeling include measurement based empirical models [1]- [4], non-geometry based stochastic models [5]- [7], geometry based stochastic models [8]- [11], and ray-based deterministic models [12]- [14].…”
Section: Introductionmentioning
confidence: 99%