Influence Analysis of Typical Objects in Rural Railway Environments at 28 GHz

He, Danping; Ai, Bo; Schmieder, Mathis; Zhang, Zhong; Kim, Junhyeong; Hui, Bing; Chung, Hwan Seok; Kim, Ilgyu; Hao, Yang

doi:10.1109/tvt.2018.2840097

Cited by 33 publications

(24 citation statements)

References 16 publications

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“…Multiple layouts are simulated, and parameters such as Path Loss, PDP, RMS DS, and Doppler effects are some of those obtained during RT simulations. In addition, another RT algorithm is used to characterize the influence of typical objects in the context of trains to infrastructure communication in the work conducted by [ 42 ]. The research carried out at 28 GHz, uses a calibrated algorithm and experimental measurement campaigns.…”

Section: Related Workmentioning

confidence: 99%

“…The infrastructure is identified as an RSU located at 5 m height. The data is fitted to a CI free-space model, also used in research previously reported as [ 40 , 42 ]. Further studies have been performed in order to analyze and enhance wireless channel operation, by analyzing interference impact, the use of deep learning techniques to optimize beam forming parameters or the proposal of new effective receiver volume configurations, among others [ 45 , 46 , 47 , 48 , 49 ].…”

Section: Related Workmentioning

confidence: 99%

“…In this work, compared to the previously presented works, the wireless communication channel in a vehicular environment is analyzed in the mmWave frequency bands (28 GHz), with the aid of an in-house developed 3D-RL algorithm, a powerful tool to expand the scarcity of empirical data in these frequency bands. In comparison with [ 42 ], together with [ 41 ], they apply a RT technique in HST communication scenarios, a completely different environment from the urban vehicle setup presented in this work. In the case of [ 40 , 43 , 44 ], these studies are dedicated to V2I communication in different conditions.…”

Section: Related Workmentioning

confidence: 99%

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Deterministic 3D Ray-Launching Millimeter Wave Channel Characterization for Vehicular Communications in Urban Environments

Rodríguez-Corbo

Azpilicueta

Celaya-Echarri

et al. 2020

Sensors

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The increasing demand for more sensors inside vehicles pursues the intention of making vehicles more “intelligent”. In this context, the vision of fully connected and autonomous cars is becoming more tangible and will turn into a reality in the coming years. The use of these intelligent transport systems will allow the integration of efficient performance in terms of route control, fuel consumption, and traffic administration, among others. Future vehicle-to-everything (V2X) communication will require a wider bandwidth as well as lower latencies than current technologies can offer, to support high-constraint safety applications and data exhaustive information exchanges. To this end, recent investigations have proposed the adoption of the millimeter wave (mmWave) bands to achieve high throughput and low latencies. However, mmWave communications come with high constraints for implementation due to higher free-space losses, poor diffraction, poor signal penetration, among other channel impairments for these high-frequency bands. In this work, a V2X communication channel in the mmWave (28 GHz) band is analyzed by a combination of an empirical study and a deterministic simulation with an in-house 3D ray-launching algorithm. Multiple mmWave V2X links has been modeled for a complex heterogeneous urban scenario in order to capture and analyze different propagation phenomena, providing full volumetric estimation of frequency/power as well as time domain parameters. Large- and small-scale propagation parameters are obtained for a combination of different situations, taking into account the obstruction between the transceivers of vehicles of distinct sizes. These results can aid in the development of modeling techniques for the implementation of mmWave frequency bands in the vehicular context, with the capability of adapting to different scenario requirements in terms of network topology, user density, or transceiver location. The proposed methodology provides accurate wireless channel estimation within the complete volume of the scenario under analysis, considering detailed topological characteristics.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

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Deterministic 3D Ray-Launching Millimeter Wave Channel Characterization for Vehicular Communications in Urban Environments

Rodríguez-Corbo

Azpilicueta

Celaya-Echarri

et al. 2020

Sensors

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“…The key point of ray-launching development is the propagation mechanism modeling. Based on the theory of radio propagation, the electromagnetic characteristics of the objects in the office scenario are described, and the electromagnetic numerical calculation method is used as the material model [36]. The electromagnetic field simulation software is introduced and used as the Tx and Rx antenna model.…”

Section: Broadband Ray-launching Channel Simulatormentioning

confidence: 99%

Electromagnetic Parameter Calibration for a Broadband Ray-Launching Simulator With SAGE Algorithm for Millimeter-Wave Communications

et al. 2020

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The millimeter-wave (mmWave) communication is a promising solution to future high-speed data transmission. To study the impact of its wireless channel, a ray-launching simulator is developed to generate deterministic channel models according to realistic scenario descriptions. For such channel modeling, the material parameters play an important role in the electromagnetic numerical computing of multi-path components (MPCs) and should be calibrated according to channel measurement results. Our contribution in this paper is threefold: we conduct the channel measurement in an indoor scenario for extracting mmWave channel characteristics, apply the Hungarian algorithm to pair measured and simulated propagation MPCs and apply the SAGE algorithm for the parameter calibration of materials impacting on the MPCs. Note that the proposed material parameter calibration method is general for the various radio propagation environment, not limited by the indoor or outdoor scenarios. Moreover, it avoids independent measurement of specific materials in a given scenario, thus greatly reducing the difficulty of obtaining material parameters. The result shows that the space alternating generalized expectationmaximization (SAGE) algorithm achieves a good match between measurement and simulation with a reasonable computational effort. INDEX TERMS Channel measurement, Hungarian algorithm, millimeter-wave communications, raylaunching simulation, SAGE algorithm.

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“…Moreover, the channel parameters extracted from the RT simulation results can be used in the future to design and develop multi-antenna systems. In addition, the authors of [30] analyze the influences of typical objects in rural railway environments at 28 GHz by using the RT simulator. The analysis of RT simulation results and the extraction of channel parameters (including the path loss (PL), root-mean-square (RMS) delay spread (DS), etc.)…”

Section: Introductionmentioning

confidence: 99%

Channel Characterization for Vehicle-to-Infrastructure Communications in Millimeter-Wave Band

Yan

Guan

et al. 2020

IEEE Access

Self Cite

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In recent years, the intelligent transport system (ITS) has been developed rapidly because of global urbanization and industrialization, which is considered as the key enabling technology to improve road safety, traffic efficiency, and driving experience. To achieve these goals, vehicles need to be equipped with a large number of sensors to enable the generation and exchange of high-rate data streams. Recently, millimeter-wave (mmWave) technology has been introduced as a means of meeting such a high data rate requirement. In this paper, a comprehensive study on the channel characteristics for vehicle-toinfrastructure (V2I) link in mmWave band (22.1-23.1 GHz) for various road environments and deployment configurations is conducted. The self-developed ray-tracing (RT) simulator is employed with the calibrated electromagnetic (EM) parameters. The three-dimensional (3D) environment models are reconstructed from the OpenStreetMap (OSM). In the simulations, not only the vehicle user equipment (UE) moves, but also the other vehicles such as cars, delivery vans, and buses move around the vehicle UE. Moreover, the impacts of the receiver (Rx) multiple antennas and beam switching technologies at the vehicle UE are evaluated as well. The channel parameters of the V2I link in mmWave band, including received power, Rician K-factor, rootmean-square delay spread, and angular spreads are explored in the target scenarios under different simulation deployments. This work aims to help the researchers understand the channel characteristics of the V2I links in mmWave band and support the link-level and system-level design for future vehicular communications.

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Influence Analysis of Typical Objects in Rural Railway Environments at 28 GHz

Cited by 33 publications

References 16 publications

Deterministic 3D Ray-Launching Millimeter Wave Channel Characterization for Vehicular Communications in Urban Environments

Deterministic 3D Ray-Launching Millimeter Wave Channel Characterization for Vehicular Communications in Urban Environments

Electromagnetic Parameter Calibration for a Broadband Ray-Launching Simulator With SAGE Algorithm for Millimeter-Wave Communications

Channel Characterization for Vehicle-to-Infrastructure Communications in Millimeter-Wave Band

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