The Design and Applications of High-Performance Ray-Tracing Simulation Platform for 5G and Beyond Wireless Communications: A Tutorial

He, Danping; Ai, Bo; Guan, Ke; Wang, Longhe; Zhang, Zhong; Kürner, Thomas

doi:10.1109/comst.2018.2865724

Cited by 287 publications

(157 citation statements)

References 140 publications

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“…where N denotes the number of multipath, a n and Ψ n are the signal amplitude and phase, respectively, ϕ AoD , ϕ AoA , θ AoD , and θ AoA are the azimuth angle of departure/arrival and elevation angle of departure/arrival, respectively [23], all of which are for the n-th multipath component.…”

Section: Wireless Channel Modelmentioning

confidence: 99%

Channel Characteristics of High-Speed Railway Station Based on Ray-Tracing Simulation at 5G mmWave Band

Xiong

Miao

et al. 2019

International Journal of Antennas and Propagation

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In order to satisfy the increasing demand for the higher transmission capacity of "smart station", millimeter wave (mmWave) technology is expected to play a significant role in the high data rate communication system. Based on the ray-tracing simulation technology, this paper would study wireless channel characteristics of the three-dimensional (3D) model of high-speed railway station at the mmWave band. Key parameters such as path loss exponent, shadow fading factor, delay spread, Rician K-factor, angular spread, power angle spectrum, and spatial correlation are extracted and investigated. ese channel characteristics are of value for the selection of antenna arrays and even the design of future 5G communication networks in the railway environment.

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Section: Wireless Channel Modelmentioning

confidence: 99%

Channel Characteristics of High-Speed Railway Station Based on Ray-Tracing Simulation at 5G mmWave Band

Xiong

Miao

et al. 2019

International Journal of Antennas and Propagation

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“…In order to obtain realistic behavior of vehicular channels in the moving network (MN), the influence of vehicles must be considered in the propagation model [27,28]. In this paper, to map the MN architecture defined by 3GPP TR 37.885 to the real propagation environments, the 3D models of a set of comprehensive vehicular environments are reconstructed.…”

Section: Realistic Vehicular Moving Network Environmentsmentioning

confidence: 99%

“…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%

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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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“…Enabling consumers to do all the things they do today with mobile devices (such as smartphones and tablets) faster and more reliably, 5G may support new ways of using those mobile devices (e.g., new applications), and completely new types of mobile devices [1,2]. As the number of mobile users increases, 5G communication networks/base stations must handle a greater amount of data and move toward considerably higher speeds than those of the base stations that make up today's cellular networks [3,4]. 5G networks are also envisaged to use resource sharing for both heavily bandwidth thirsty video applications and for handling data traffic from large cluster of sensors i.e., the so-called Internet of Things (IOT) [5,6].…”

Section: Introductionmentioning

confidence: 99%

Comparative Study of Indoor Propagation Model Below and Above 6 GHz for 5G Wireless Networks

et al. 2019

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It has been widely speculated that the performance of the next generation based wireless network should meet a transmission speed on the order of 1000 times more than the current cellular communication systems. The frequency bands above 6 GHz have received significant attention lately as a prospective band for next generation 5G systems. The propagation characteristics for 5G networks need to be fully understood for the 5G system design. This paper presents the channel propagation characteristics for a 5G system in line of sight (LOS) and non-LOS (NLOS) scenarios. The diffraction loss (DL) and frequency drop (FD) are investigated based on collected measurement data. Indoor measurement results obtained using a high-resolution channel sounder equipped with directional horn antennas at 3.5 GHz and 28 GHz as a comparative study of the two bands below and above 6 GHz. The parameters for path loss using different path loss models of single and multi-frequencies have been estimated. The excess delay, root mean square (RMS) delay spread and the power delay profile of received paths are analyzed. The results of the path loss models show that the path loss exponent (PLE) in this indoor environment is less than the free space path loss exponent for LOS scenario at both frequencies. Moreover, the PLE is not frequency dependent. The 3GPP path loss models for single and multi-frequency in LOS scenarios have good performance in terms of PLE that is as reliable as the physically-based models. Based on the proposed models, the diffraction loss at 28 GHz is approximately twice the diffraction loss at 3.5 GHz. The findings of the power delay profile and RMS delay spread indicate that these parameters are comparable for frequency bands below and above 6 GHz.

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The Design and Applications of High-Performance Ray-Tracing Simulation Platform for 5G and Beyond Wireless Communications: A Tutorial

Cited by 287 publications

References 140 publications

Channel Characteristics of High-Speed Railway Station Based on Ray-Tracing Simulation at 5G mmWave Band

Channel Characteristics of High-Speed Railway Station Based on Ray-Tracing Simulation at 5G mmWave Band

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

Comparative Study of Indoor Propagation Model Below and Above 6 GHz for 5G Wireless Networks

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