A Geometry-Based Stochastic Channel Model for the Millimeter-Wave Band in a 3GPP High-Speed Train Scenario

Yang, Jingya; Ai, Bo; Guan, Ke; He, Danping; Lin, Xue; Hui, Bing; Kim, Junhyeong; Hrovat, Andrej

doi:10.1109/tvt.2018.2795385

Cited by 45 publications

(22 citation statements)

References 54 publications

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“…e validations of the RT simulator against various measurements have been presented in various propagation environments and different frequency bands. For example, RT is calibrated and verified in the tunnel environment at 25 GHz [31], in the urban environment at 28 GHz [28], in the indoor environment at 26 GHz [32], in the viaduct environment at 93 GHz [33], and so on. After the calibration, the corresponding material parameters are obtained.…”

Section: Rt Simulation Verificationmentioning

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

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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.

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Section: Rt Simulation Verificationmentioning

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

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“…In [7]- [9], a deterministic channel model of ray tracing algorithm is proposed, which is commonly used in tunnels, viaducts and other environments. In [10], [11], the geometric random model is used, which is a semi-deterministic modeling method. This modeling method has a good fit with the actual environment and the complexity is not high.…”

Section: Introductionmentioning

confidence: 99%

Modeling and Optimization of Wireless Channel in High-Speed Railway Terrain

Xie

Zhang

et al. 2020

IEEE Access

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The high-speed railway (HSR) wireless channel models based on field measurements have poor universality and low modeling accuracy due to the limitations of the experimental methods and the terrain conditions. To overcome this problem, this paper considers the wireless channels in various HSR scenarios (such as tunnels, mountains, viaducts, cuttings and plains) as the research objects and establishes a novel finite-state Markov chain (FSMC) optimization simulation model based on the signal-to-noise ratio (SNR) threshold, the channel states and the state transition probability matrix, by using the nonuniform space division SNR quantization strategy (hereinafter referred to as Strategy 1) and the equal-area space division SNR quantization strategy (hereinafter referred to as Strategy 2). The SNR curves that are obtained via simulation closely fit the experimental results; therefore, the proposed simulation model can accurately characterize the channel state in a variety of HSR scenarios. Furthermore, the simulation results demonstrate that in the tunnel scenario, Strategy 1 realizes a smaller mean square error (MSE) and a higher modeling accuracy than Strategy 2. The MSE values of the two strategies are similar in the plain scenario. Strategy 2 realizes a smaller MSE and a higher modeling accuracy in the mountain, viaduct and cutting scenarios.

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“…For the channel modeling approaches, the channel models VOLUME 4, 2016 in the previous work can be classified as stochastic and deterministic channel models [7]. The stochastic channel model describes the statistical manner of the channel characteristic parameters with or without assuming the underlying geometry [8][9][10][11][12][13]. In [8][9][10], the presented channel models are based on the useful concept of multipath clusters.…”

Section: Introductionmentioning

confidence: 99%

“…Based on it, a statistical model for reflected clusters is proposed. In [12] and [13], the stochastic mmWave channel models in highspeed train scenarios and industrial scenarios are discussed respectively. The structures in different propagation environments construct different channel behaviors.…”

Section: Introductionmentioning

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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A Geometry-Based Stochastic Channel Model for the Millimeter-Wave Band in a 3GPP High-Speed Train Scenario

Cited by 45 publications

References 54 publications

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

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

Modeling and Optimization of Wireless Channel in High-Speed Railway Terrain

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

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