Towards Realistic High-Speed Train Channels at 5G Millimeter-Wave Band—Part I: Paradigm, Significance Analysis, and Scenario Reconstruction

Guan, Ke; Ai, Bo; Peng, Bile; He, Danping; Li, Guangkai; Yang, Jingya; Zhang, Zhong; Kürner, Thomas

doi:10.1109/tvt.2018.2865498

Cited by 121 publications

(54 citation statements)

References 62 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As a deterministic modeling method, RT simulations can provide full information of multipath effects in multiple domains and build accurate site‐specific channel models. It has been successfully used for different applications (Cai et al, , ; Chen et al, ; Fan et al, , ; Guan et al, ; Zhou et al, ). The RT simulator employed in this study, CloudRT, is jointly developed by Beijing Jiaotong University and Technische Universität Braunschweig.…”

Section: Railway Environment Reconstruction and Simulation Setupmentioning

confidence: 99%

Satellite‐Terrestrial Channel Characterization in High‐Speed Railway Environment at 22.6 GHz

Guan

Yan

et al. 2020

Radio Science

Self Cite

View full text Add to dashboard Cite

The integration of satellite and terrestrial communication systems plays a vital role in the fifth‐generation mobile communication system (5G) for the ubiquitous coverage, reliable service, and flexible networking. Moreover, the millimeter wave (mmWave) communication with large bandwidth is a key enabler for 5G intelligent rail transportation. In this paper, the satellite‐terrestrial channel at 22.6 GHz is characterized for a typical high‐speed railway (HSR) environment. The three‐dimensional model of the railway scenario is reconstructed and imported into the Cloud Ray‐Tracing (CloudRT) simulation platform. Based on extensive ray‐tracing simulations, the channel for the terrestrial HSR system and the satellite‐terrestrial system with two weather conditions are characterized, and the interference between them are evaluated. The results of this paper can help for the design and evaluation for the satellite‐terrestrial communication system enabling future intelligent rail transportation.

show abstract

Section: Railway Environment Reconstruction and Simulation Setupmentioning

confidence: 99%

Satellite‐Terrestrial Channel Characterization in High‐Speed Railway Environment at 22.6 GHz

Guan

Yan

et al. 2020

Radio Science

Self Cite

View full text Add to dashboard Cite

show abstract

“…[25] considered the mobile hotspot network based on a hierarchical relay network structure, the design of baseband modem and RF front end are given which can satisfy high data transfer rates for HSTs with the velocity up to 500km/h, and the core of system structure is mitigating severe Doppler effects by allocating downlink and uplink reference signal. [26] discussed the main challenges of 5G mmWave HST communication and proposed a viable paradigm by definiting the 5G mmWave HST scenario and selecting proper objects and materials. Through reconstruction of three models, the paradigm is verified.…”

Section: Related Workmentioning

confidence: 99%

Energy-Efficient Power Control of Train–Ground mmWave Communication for High-Speed Trains

Wang

Niu

et al. 2019

IEEE Trans. Veh. Technol.

Self Cite

View full text Add to dashboard Cite

High speed train system has proven to be a very flexible and attractive system that can be developed under various circumstances and in different contexts and cultures. As a result, high speed trains are widely deployed around the world. Providing more reliable and higher data rate communication services for high speed trains has become one of the most urgent challenges. With vast amounts of spectrum available, the millimeter wave (mmWave) system is able to provide transmission rates of several gigabits per second for high speed trains. At the same time, mmWave communication also suffers from high attenuation, thus higher energy efficiency should be considered. This paper proposes an energy efficient power control scheme of train-ground mmWave communication for high speed trains. Considering a beam switching method for efficient beam alignment, we first establish position prediction model, the realistic direction antenna model and receive power model. And then we allocate the transmission power rationally through the power minimization algorithm while ensuring the total amount of transmission data. Based on this, this paper also develops a hybrid optimization scheme and finds the limit of total energy consumption when the number of segments goes to infinity. Through simulation with various system parameters and taking velocity estimation error into account, we demonstrate the superior performance of our schemes.

show abstract

“…In addition to the large buildings, the common small-scale structures such as roadside trees, traffic lights, traffic signs, and bus stations are considered in the environment model. ese smallscale structures are on the same order of magnitude as the wavelength, and the most relevant propagation mechanism of them in vehicular environments is scattering [29]. Figure 3 shows the 3D models of small-scale structures in urban environments.…”

Section: Small-scale Structuresmentioning

confidence: 99%

Vehicular Channel in Urban Environments at 23 GHz for Flexible Access Common Spectrum Application

Wang

Yang

et al. 2019

International Journal of Antennas and Propagation

Self Cite

View full text Add to dashboard Cite

With the development of the vehicular network, new radio technologies have been in the spotlight for maximizing the utilization of the limited radio spectrum resource while accommodating the increasing amount of services and applications in the wireless mobile networks. New spectrum policies based on dynamic spectrum access technology such as flexible access common spectrum (FACS) have been adopted by the Korea Communications Commission (KCC). 23 GHz bands have been allocated to FACS bands by the KCC, which is expected extensively for vehicular communications. e comprehensive knowledge on the radio channel is essential to effectively support the design, simulation, and development of such radio technologies. In this paper, the characteristics of 23 GHz vehicle-to-infrastructure (V2I) channels are simulated and extracted for the urban environment in Seoul. e path loss, shadow factor, Ricean K-factor, root-mean-square (RMS) delay spread, and angular spreads are characterized from the calibrated ray-tracing simulation results, and it can help researchers have a better understanding of the propagation channel for designing vehicular radio technologies and a communication system in a similar environment.

show abstract

Towards Realistic High-Speed Train Channels at 5G Millimeter-Wave Band—Part I: Paradigm, Significance Analysis, and Scenario Reconstruction

Cited by 121 publications

References 62 publications

Satellite‐Terrestrial Channel Characterization in High‐Speed Railway Environment at 22.6 GHz

Satellite‐Terrestrial Channel Characterization in High‐Speed Railway Environment at 22.6 GHz

Energy-Efficient Power Control of Train–Ground mmWave Communication for High-Speed Trains

Vehicular Channel in Urban Environments at 23 GHz for Flexible Access Common Spectrum Application

Contact Info

Product

Resources

About