Sparsity in the Delay-Doppler Domain for Measured 60 GHz Vehicle-to-Infrastructure Communication Channels

Pratschner, Stefan; Lerch, Martin; Schutzenhofer, Daniel; Hofer, Markus; Blumenstein, Jiří; Sangodoyin, Seun; Zemen, Thomas; Prokeš, Aleš; Molisch, Andreas F.; Caban, Sebastian; Groll, Herbert; Zöchmann, Erich

doi:10.1109/iccw.2019.8756930

Cited by 31 publications

(15 citation statements)

References 33 publications

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“…and lat. R and v Undefined Radar [146] Doppler shift data (time, TX channel) [190] [63] Spectrogram (range, velocity) Radar [181] Radar image (x, z) Active imaging [191] Radar image (x, z) Active imaging [67] R, ϕ, and vr Undefined Radar [192] Radar image (x, z) Active imaging [193] Radar image (x, z) Active imaging [69] Heartbeat data (time) Radar [189] Radar image (x, z) Active imaging [72] Spectrogram (x, z) [194] [176] Radar image (x, y) Active imaging [177] Radar image (x, y) Active imaging Point cloud frame (x, y) R, vr , θ, and power Undefined [81] Spectrogram (range, velocity) [195] [83] Spectrogram (range, azimuth) Radar [84] Profile (range) Radar Range compressed down-conversion IF data [89] Point cloud frame (x, y, z) Radar [91] Spectrogram (range, velocity) Radar Point cloud frame (x, y, z) vr Undefined [97] Point cloud frame (x, y, z) Radar [99] R and θ Undefined Radar [196] Reflection intensity Undefined Radar Profile (range) Spectrogram (time, frequency) [104] Radar trace Undefined Radar [178] Spectrogram (x, y) Active imaging [105] Heartbeat data (time) [198] [112] Spectrogram (time, frequency) [199] [185] Positioning data Undefined Spatial sweeping [115] R and θ Undefined Radar [153] RSS signal (time, RX channel) Spatial sweeping Profile (range) Waterfall chart (time, range) Dynamic (time-varying) signal components Point cloud frame (x, y, z) vr Undefined Point cloud frame (x, y, z) vr and intensity Undefined [125] Spectrogram (range, velocity) Radar [131] Spectrogram (x, y) Radar…”

Section: B Pre-processingmentioning

confidence: 99%

Millimeter Wave Sensing: A Review of Application Pipelines and Building Blocks

et al. 2021

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The increasing bandwidth requirement of new wireless applications has lead to standardization of the millimeter wave spectrum for high-speed wireless communication. The millimeter wave spectrum is part of 5G and covers frequencies between 30 and 300 GHz that correspond to wavelengths ranging from 10 to 1 mm. Although millimeter wave is often considered as a communication medium, it has also proved to be an excellent 'sensor', thanks to its narrow beams, operation across a wide bandwidth, and interaction with atmospheric constituents. In this paper, which is to the best of our knowledge the first review that completely covers millimeter wave sensing application pipelines, we provide a comprehensive overview and analysis of different basic application pipeline building blocks, including hardware, algorithms, analytical models, and model evaluation techniques. The review also provides a taxonomy that highlights different millimeter wave sensing application domains. By performing a thorough analysis, complying with the systematic literature review methodology and reviewing 165 papers, we not only extend previous investigations focused only on communication aspects of the millimeter wave technology and using millimeter wave technology for active imaging, but also highlight scientific and technological challenges and trends, and provide a future perspective for applications of millimeter wave as a sensing technology.

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Section: B Pre-processingmentioning

confidence: 99%

Millimeter Wave Sensing: A Review of Application Pipelines and Building Blocks

et al. 2021

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“…In the considered example, this value equates to FIGURE 3. Measurement data of an urban car-to-infrastructure link to [18]. The figure shows the measurement traces obtained with two transmit antennas, one pointing towards horizon (TX 0 • ) and the other pointing slightly upwards towards the RSU (TX 15 • ).…”

Section: ) V2i Ray-tracing Datamentioning

confidence: 99%

“…2) V2I MEASUREMENT DATA The considered measurement setup and data are described in detail in [18]. The authors thereby consider an urban inner-city mmWave car-to-infrastructure link at a center frequency of 60 GHz.…”

Section: ) V2i Ray-tracing Datamentioning

confidence: 99%

“…In this article, we argue that the most relevant fading characteristics of directional mmWave V2I communications can often be captured by relatively simple two-path (or two-ray) channel models, which still exhibit a certain level of analytical tractability. More specifically, the two-wave with diffuse power (TWDP) channel model has successfully been applied in a number of recent publications to model V2I channel measurement data and results from ray-tracing simulations in the mmWave band [16]- [18]. TWDP fading is known for its potentially worse-than-Rayleigh fading behavior in terms of signal outage probability [19], [23].…”

Section: Introductionmentioning

confidence: 99%

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Dependability of Directional Millimeter Wave Vehicle-to-Infrastructure Communications

et al. 2020

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Vehicle-to-infrastructure (V2I) communication is an important enabler for intelligent transportation and rail traffic management systems, which are expected to provide significant road traffic safety and efficiency enhancements. Such systems require a level of dependability of the wireless communication link that can be hard to support by state-of-the-art technologies. Transmissions in the millimeter wave (mmWave) band have the potential to provide sufficient bandwidth to support not only traffic management services, but additionally also web and entertainment applications for car and train passengers. mmWave transmissions require directional antennas at the transmitter and/or receiver to compensate for the significant pathloss and to achieve a practically acceptable maximum coupling loss. Such directional communication is feasible in V2I scenarios, because the mobility of users is confined to streets and roads. In this article, we discuss the dependability of directional mmWave V2I communications under two-ray fading conditions. We review methods for enhancing the dependability of the communication link by exploiting macroscopic spatial diversity and by mitigating interference from other transmitters. We furthermore provide guidelines for a dependable system design under two-ray fading and identify open research questions in this context. INDEX TERMS Dependability, directional antennas, two-wave with diffuse power fading channels, vehicular communications.

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“…The expected value of random variable r is E (r) and the probability of random event a is P (a). transmissions in the mmWave band, where the multipath channel between transmitter and receiver can be characterized by a few scattering components, as has been observed in many measurement campaigns [48][49][50][51]. Furthermore, we assume that the receivers utilize directional antennas to compensate for the large pathloss experienced in the mmWave band.…”

Section: Introductionmentioning

confidence: 99%

Reliable Multi-Point Transmissions Over Directional MISO TWDP Fading Channels

Schwarz

Rupp

2021

IEEE Trans. Veh. Technol.

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In this paper, we consider wireless transmissions over directional multiple-input single-output (MISO) two wave with diffuse power (TWDP) fading channels, subject to interference over the same type of channel. TWDP fading is known to exhibit an outage behavior that can be even worse than Rayleigh fading and has experimentally been observed in a number of vehicular channel measurement campaigns. To enhance the reliability of multi-point transmissions over MISO TWDP fading channels, we propose a zero-forcing based coordinated beamforming scheme, for which we can analytically characterize and optimize the outage probability of the multi-point transmissions. Based on the developed outage expressions, we furthermore propose a greedy coordinated scheduling approach that attempts to maximize the achievable rate of the system. Finally, we propose a transmission rate adaptation scheme for fixed size packet transmissions, which supports reliable and at the same time resource efficient multi-point transmissions.

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Sparsity in the Delay-Doppler Domain for Measured 60 GHz Vehicle-to-Infrastructure Communication Channels

Cited by 31 publications

References 33 publications

Millimeter Wave Sensing: A Review of Application Pipelines and Building Blocks

Millimeter Wave Sensing: A Review of Application Pipelines and Building Blocks

Dependability of Directional Millimeter Wave Vehicle-to-Infrastructure Communications

Reliable Multi-Point Transmissions Over Directional MISO TWDP Fading Channels

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