Vehicular channel models: A system level performance analysis of tapped delay line models

Blazek, Thomas; Ashury, Mehdi; Mecklenbräuker, Christoph F.; Smely, Dieter; Ghiaasi, Golsa

doi:10.1109/itst.2017.7972222

Cited by 25 publications

(19 citation statements)

References 12 publications

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“…The first option is to implement the most general from of convolution by calculation of the discrete version of (4) (shown in (5)). The impulse response coefficients are complex-valued and given by (2). This architecture is capable of emulating any linear time-varying channel response by simple operations: complex number multiplication and additions:…”

Section: Real-time Emulator Designmentioning

confidence: 99%

“…These are due to several factors: major Doppler shifts are caused by moving transmitters, receivers, and mobile interacting objects in the multipath propagation channel. Many other details shape the local delay spread and Doppler spectral characteristics of V2X channels, for example, antenna patterns and the angular statistics of individual multipath components (MPCs) [2].…”

Section: Introductionmentioning

confidence: 99%

“…Aiming at standardized conformance tests of V2X radio modems, both IEEE and ETSI have proposed channel models [5,6] which reproduce the short-term delay-Doppler characteristics in various vehicular scenarios [2,7]. These channel models belong to the class of WSSUS models because neither 2 Wireless Communications and Mobile Computing the channel's tap delays nor their Doppler spectrum evolves in time.…”

Section: Introductionmentioning

confidence: 99%

“…It features two multiple-input multiple-output (MIMO) RF chains along with a Xilinx Kintex-7 FPGA which is programmable with the National Instruments LabVIEW FPGA Module [14]. The emulator documented in this work can either playback recorded channel impulse responses or emulate stochastic channel models [2,6]. In doing so, the real-time emulator supports taps with fixed and variable delays and Doppler shifts and facilitates the Monte Carlo realizations of path-loss and phase variables.…”

Section: Introductionmentioning

confidence: 99%

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Real‐Time Emulation of Nonstationary Channels in Safety‐Relevant Vehicular Scenarios

Ghiaasi

Blazek

Ashury

et al. 2018

Wireless Communications and Mobile Computing

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This paper proposes and discusses the architecture for a real-time vehicular channel emulator capable of reproducing the input/output behavior of nonstationary time-variant radio propagation channels in safety-relevant vehicular scenarios. The vehicular channel emulator architecture aims at a hardware implementation which requires minimal hardware complexity for emulating channels with the varying delay-Doppler characteristics of safety-relevant vehicular scenarios. The varying delay-Doppler characteristics require real-time updates to the multipath propagation model for each local stationarity region. The vehicular channel emulator is used for benchmarking the packet error performance of commercial off-the-shelf (COTS) vehicular IEEE 802.11p modems and a fully software-defined radio-based IEEE 802.11p modem stack. The packet error ratio (PER) estimated from temporal averaging over a single virtual drive and the packet error probability (PEP) estimated from ensemble averaging over repeated virtual drives are evaluated and compared for the same vehicular scenario. The proposed architecture is realized as a virtual instrument on National Instruments™ LabVIEW. The National Instrument universal software radio peripheral with reconfigurable input-output (USRP-Rio) 2953R is used as the software-defined radio platform for implementation; however, the results and considerations reported are of general purpose and can be applied to other platforms. Finally, we discuss the PER performance of the modem for two categories of vehicular channel models: a vehicular nonstationary channel model derived for urban single lane street crossing scenario of the DRIVEWAY’09 measurement campaign and the stationary ETSI models.

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Section: Real-time Emulator Designmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Real‐Time Emulation of Nonstationary Channels in Safety‐Relevant Vehicular Scenarios

Ghiaasi

Blazek

Ashury

et al. 2018

Wireless Communications and Mobile Computing

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“…Using the map data, we can show that around the point of most interference, there are no largescale obstructions, as it is surrounded by water on one side, and a large field on the other, and therefore we neglect the corresponding terms by setting X σ 2 and ζ to 0. We account for small-scale fading using a tapped-delay line based channel emulator [16], hence we use the delay line fading model which results in the time-variant impulse response where the parameters are set according to [17]. Specifically, we use a channel model defined for IEEE 802.11p, which uses 4 taps, and asymmetric half-bathtub shaped Doppler spectra.…”

Section: B Pathloss and Fadingmentioning

confidence: 99%

IEEE 802.11p Performance for Vehicle-to-Anything Connectivity in Urban Interference Channels

Blazek

Ghiaasi

Backfrieder

et al. 2018

12th European Conference on Antennas and Propagation (EuCAP 2018)

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All too often, the performance of vehicular communications is benchmarked for a single link only. A major challenge for performance benchmarking of multiple interacting vehicles is the definition of repeatable vehicular scenarios. In this paper, we propose and discuss an approach for performance analysis of the IEEE 802.11p standard in urban interference channels, by linking network simulations with a Software Defined Radio (SDR) setup. This approach provides communication performance measurements in the worst-case interference scenario caused by an urban traffic jam. We do this by starting out with vehicular traffic flow simulations and continue to model the medium access. We furthermore introduce an algorithm to reduce the complexity of the communication network while retaining its properties. Finally, we use a setup of SDRs encompassing of communication nodes and channel emulators that emulate urban channels to measure the packet level performance as a function of Signal-to-Interference Ratio (SIR) and distance to receiver under urban traffic conditions.

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Design and implementation of a wideband channel emulation platform for 5G mmWave vehicular communication

2020

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Vehicular channel models: A system level performance analysis of tapped delay line models

Cited by 25 publications

References 12 publications

Real‐Time Emulation of Nonstationary Channels in Safety‐Relevant Vehicular Scenarios

Real‐Time Emulation of Nonstationary Channels in Safety‐Relevant Vehicular Scenarios

IEEE 802.11p Performance for Vehicle-to-Anything Connectivity in Urban Interference Channels

Design and implementation of a wideband channel emulation platform for 5G mmWave vehicular communication

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