A Scalable Mobile Multi-Node Channel Sounder

Zelenbaba, Stefan; Löschenbrand, David; Hofer, Markus; Dakic, Anja; Rainer, Benjamin; Humer, Gerhard; Zemen, Thomas

doi:10.1109/wcnc45663.2020.9120769

Cited by 11 publications

(10 citation statements)

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“…In this paper we have presented the results of the first ever multi-node vehicular wireless channel sounding measurement campaign. We use our custom-made AIT multi-node channel sounder [10] in two urban scenarios with a large vehicle obstruction, to simultaneously collect time-variant frequency responses of three vehicular wireless communication channels. We analyze and compare time-variant statistics of the measured links in an overtaking scenario and an intersection scenario to obtain new insights into the impact of large obstructing vehicles on vehicular communication channels.…”

Section: Discussionmentioning

confidence: 99%

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Multi-Node Vehicular Wireless Channels: Measurements, Large Vehicle Modeling, and Hardware-in-the-Loop Evaluation

et al. 2021

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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, ensuring that measurement conditions are identical for all observed links. We use it to analyze road scenarios with multiple vehicles and a large obstructing double-decker bus. The empirical measurement data is used to parametrize a model for the large obstructing vehicle within a geometry-based stochastic channel model. We compare the time-variant channel statistics obtained from our channel model with the ones from the measurement campaign. By means of a channel emulator we obtain the packet error rates of commercial modems for the measured and the simulated wireless communication channels and compare them, in order to validate the model at the link level. We find that the path loss, the root mean square (RMS) delay spread, and the RMS Doppler spread deviate by less than 3.6 dB, 78 ns, and 52 Hz, respectively, for 80% of the total simulation duration. The PER obtained from measured data is within the maximum and minimum bounds of our model for 86% of the simulation duration.

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Section: Discussionmentioning

confidence: 99%

“…To collect time-variant frequency responses between all nodes in a single snapshot we use a custom-built softwaredefined radio (SDR) based multi-node channel sounding system [10] that exploits a scalable sounding scheme depicted in Fig. 1.…”

Section: Vehicular Multi-node Channel Soundermentioning

confidence: 99%

Multi-Node Vehicular Wireless Channels: Measurements, Large Vehicle Modeling, and Hardware-in-the-Loop Evaluation

et al. 2021

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“…To obtain the received power P r we apply a threshold of 40 dB and calculate the path loss as the integrated power of our estimated instantaneous PDP in (23).…”

Section: ) Received Powermentioning

confidence: 99%

“…In order to confirm its validity and accuracy we use data obtained by a measurement campaign in an urban intersection scenario conducted using our multi-node channel sounder [23] in the inner city of Vienna. We model this intersection scenario using our GSCM.…”

Section: Validationmentioning

confidence: 99%

“…In order to extract the distribution parameters (mean, variance and coherence distance) of the large scale fading from the measurements, we follow the principles detailed in [10]. We evaluate the accuracy of the approximate low complexity PDP computation in (23) with the ground truth from ( 21) by comparing the RMS delay spread. We use a single simulation run of the chosen scenario to investigate the introduced bias.…”

Section: Validationmentioning

confidence: 99%

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Real-Time Vehicular Wireless System-Level Simulation

Dakic¹,

Höfer²,

Rainer³

et al. 2020

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Future automation and control units for advanced driver assistance systems (ADAS) will exchange sensor and kinematic data with nearby vehicles using wireless communication links to improve traffic safety. In this paper we present an accurate real-time system-level simulation for multivehicle communication scenarios to support the development and test of connected ADAS systems. The physical and data-link layer are abstracted and provide the frame error rate (FER) to a network simulator. The FER is strongly affected by the non-stationary doubly dispersive fading process of the vehicular radio communication channel. We use a geometry-based stochastic channel model (GSCM) to enable a simplified but still accurate representation of the non-stationary vehicular fading process. The propagation path parameters of the GSCM are used to efficiently compute the time-variant condensed radio channel parameters per stationarity region of each communication link during run-time. Five condensed radio channel parameters mainly determine the FER forming a parameter vector: path loss, root mean square delay spread, Doppler bandwidth, K-factor, and line-of-sight Doppler shift. We measure the FER for a pre-defined set of discrete grid points of the parameter vector using a channel emulator and a given transmitter-receiver modem pair. The FER data is stored in a table and looked up during run-time of the real-time system-level simulation. We validate our methodology using empirical measurement data from a street crossing scenarios demonstrating a close match in terms of FER between simulation and measurement.INDEX TERMS channel emulation, frame error rate, geometry-based stochastic channel model, systemlevel simulation, wireless vehicular communication

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Real-Time Vehicular Wireless System-Level Simulation

et al. 2021

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Future automation and control units for advanced driver assistance systems (ADAS) will exchange sensor and kinematic data with nearby vehicles using wireless communication links to improve traffic safety. In this paper we present an accurate real-time system-level simulation for multi-vehicle communication scenarios to support the development and test of connected ADAS systems. The physical and data-link layer are abstracted and provide the frame error rate (FER) to a network simulator. The FER is strongly affected by the non-stationary doubly dispersive fading process of the vehicular radio communication channel. We use a geometry-based stochastic channel model (GSCM) to enable a simplified but still accurate representation of the non-stationary vehicular fading process. The propagation path parameters of the GSCM are used to efficiently compute the time-variant condensed radio channel parameters per stationarity region of each communication link during run-time. Five condensed radio channel parameters mainly determine the FER forming a parameter vector: path loss, root mean square delay spread, Doppler bandwidth, K -factor, and line-of-sight Doppler shift. We measure the FER for a pre-defined set of discrete grid points of the parameter vector using a channel emulator and a given transmitter-receiver modem pair. The FER data is stored in a table and looked up during run-time of the real-time system-level simulation. We validate our methodology using empirical measurement data from a street crossing scenarios demonstrating a close match in terms of FER between simulation and measurement.INDEX TERMS Channel emulation, frame error rate, geometry-based stochastic channel model, system-level simulation, wireless vehicular communication.

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A Scalable Mobile Multi-Node Channel Sounder

Cited by 11 publications

References 11 publications

Multi-Node Vehicular Wireless Channels: Measurements, Large Vehicle Modeling, and Hardware-in-the-Loop Evaluation

Multi-Node Vehicular Wireless Channels: Measurements, Large Vehicle Modeling, and Hardware-in-the-Loop Evaluation

Real-Time Vehicular Wireless System-Level Simulation

Real-Time Vehicular Wireless System-Level Simulation

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