Measurement-Based Characterization of Train-to-Infrastructure 2.6 GHz Propagation Channel in a Modern Subway Station

Domínguez-Bolaño, Tomás; Rodríguez-Piñeiro, José; García-Naya, José A.; Yin, Xuefeng; Castedo, Luis

doi:10.1109/access.2018.2870564

Cited by 11 publications

(13 citation statements)

References 47 publications

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“…The RMS delay spread is calculated as the normalized second-order central moment of the delay [72]. Following the same approach as in [73], let us firstly define the normalized PDP for the ith frame as…”

Section: Root Mean Square Delay Spreadmentioning

confidence: 99%

“…In practice, the PDP is obtained as the power for a certain timespan over which the channel is quasi-stationary [72]. Following the same approach as in [73], we calculate the PDP for each acquired frame from the channel estimates produced by the SAGE algorithm (see (1)), thus obtaining the "instantaneous" PDP. Following [74], we define the "instantaneous" PDP for the ith frame as…”

Section: Power Delay Profile and Power Spectral Densitymentioning

confidence: 99%

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Air-to-Ground Channel Characterization for Low-Height UAVs in Realistic Network Deployments

Rodríguez-Piñeiro,

Domínguez-Bolaño,

Cai

et al. 2020

Preprint

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Due to the decrease in cost, size and weight, Unmanned Aerial Vehicles (UAVs) are becoming more and more popular for general-purpose civil and commercial applications. Provision of communication services to UAVs both for user data and control messaging by using off-the-shelf terrestrial cellular deployments introduces several technical challenges. In this paper, an approach to the air-to-ground channel characterization for low-height UAVs based on an extensive measurement campaign is proposed, giving special attention to the comparison of the results when a typical directional antenna for network deployments is used and when a quasi-omnidirectional one is considered. Channel characteristics like path loss, shadow fading, root mean square delay and Doppler frequency spreads and the K-factor are statistically characterized for different suburban scenarios.Index Terms-UAV; Air-to-Ground; Communications channels; Time-varying channels; Aircraft communication I. INTRODUCTIONSmall Unmanned Aerial Vehicles (UAVs) are rapidly changing their main scope from the traditional military usage in hostile environments [1], [2] to general-purpose civil and commercial applications. The decrease in their cost, size and weight, the increase of their battery life, their high maneuverability and their ability to hover [3] make them an appropriate tool for a wide set of applications, such as border surveillance, operations in inaccessible areas, delivery of goods, search and rescue missions [3]-[6], precise land mapping by aerial imagery [7]-[10] or precise farming [11], [12]. The provision of temporary network access after natural disasters, emergency situations or in saturated environments became one of the key J. Rodríguez-Piñeiro and Z. Huang are with the

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Section: Root Mean Square Delay Spreadmentioning

confidence: 99%

Section: Power Delay Profile and Power Spectral Densitymentioning

confidence: 99%

Air-to-Ground Channel Characterization for Low-Height UAVs in Realistic Network Deployments

Rodríguez-Piñeiro,

Domínguez-Bolaño,

Cai

et al. 2020

Preprint

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“…The latter also encodes the data frames using Turbo Codes. The wireless channel can be (1) a simulated one considering a channel model defined by the ITU or (2) a real one obtained by means of over-the-air transmissions with the GTEC testbed [3][4][5][6].…”

Section: System Modelmentioning

confidence: 99%

Image Transmission: Analog or Digital?

Balsa

Domínguez-Bolaño

Fresnedo

et al. 2018

XoveTIC Congress 2018

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“…With the concepts of cloud and fog computing in the future development of the internet of vehicular technology, the whole new security architecture and computing platform for the vehicular network can be achieved [5]. Using the multipath components extracted with the space-alternating generalized expectation-maximization (SAGE) algorithm, the wireless channel response can be characterized from the V2I measurement results [6].…”

Section: Introductionmentioning

confidence: 99%

Characterization for the Vehicle-to-Infrastructure Channel in Urban and Highway Scenarios at the Terahertz Band

Guan

et al. 2019

IEEE Access

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With the challenge to form the networks of the Intelligent Transportation Systems (ITS), both technologies of vehicles and wireless communication are required to be connected tightly. In terms of wireless communication, the communication system in the terahertz (THz) frequency range with ultra-large bandwidth is a potential technology to support very high-data-rate wireless transmission at the age of beyond fifth-generation mobile communications (B5G). In this paper, the carrier frequency of 300 GHz with 8 GHz bandwidth vehicle-to-infrastructure (V2I) channel is characterized for the urban and highway scenario, respectively. The self-developed ray-tracing (RT) simulator is employed with the calibrated electromagnetic (EM) parameters. Since the wavelength of carrier frequency approaches the diameters of raindrops and snowflakes, the significant influence of the precipitation on the channel characterization is studied in our work as well. The large-scale parameters of the THz V2I channel, including path loss, Rician K -factor, root-mean-square (RMS) delay spread, and angular spreads are explored in the target scenarios under sunny, rainy, and snowy conditions, respectively. The channel characteristics studied in this paper can be used to support the link-level and system-level design for the future THz vehicular communications.INDEX TERMS Channel characteristics, ray-tracing simulation, terahertz communication, vehicle-toinfrastructure channel, wave propagation.

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Measurement-Based Characterization of Train-to-Infrastructure 2.6 GHz Propagation Channel in a Modern Subway Station

Cited by 11 publications

References 47 publications

Air-to-Ground Channel Characterization for Low-Height UAVs in Realistic Network Deployments

Air-to-Ground Channel Characterization for Low-Height UAVs in Realistic Network Deployments

Image Transmission: Analog or Digital?

Characterization for the Vehicle-to-Infrastructure Channel in Urban and Highway Scenarios at the Terahertz Band

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