5G Millimeter Wave Channel Modeling and Simulations for a High-Voltage Substation

Fu, Zihao; Cui, Hao; Geng, Suiyan; Zhao, Xiongwen

doi:10.1109/ispec48194.2019.8975111

Cited by 8 publications

(5 citation statements)

References 9 publications

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“…Back-to-back system calibration was performed before the measurement to eliminate the inherent system response [36]. Specific measurement parameters are can be found in previous work [38].…”

Section: A Measurement Campaignsmentioning

confidence: 99%

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Semi-Deterministic Dynamic Millimeter-Wave Channel Modeling Based on an Optimal Neural Network Approach

Zhao

Fan

et al. 2022

IEEE Trans. Antennas Propagat.

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Section: A Measurement Campaignsmentioning

confidence: 99%

“…150 groups of simulated channels and corresponding LSCPs are generated by QuaDRiGa platform for comparison. Simulated channel generation was reported in our previous work [38]. Non-optimized RBF NNs are trained with default parameter value, i.e., ξ = 1.…”

Section: B Performance Analysis Of the Predicted Lscpsmentioning

confidence: 99%

Semi-Deterministic Dynamic Millimeter-Wave Channel Modeling Based on an Optimal Neural Network Approach

Zhao

Fan

et al. 2022

IEEE Trans. Antennas Propagat.

Self Cite

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“…So far, most of mmWave channel models were mainly aimed at the land mobile communication scenarios [17,18], e.g., tunnel [19,20], microcellular environment [21], and high-voltage substation [22], etc. A few mmWave channel models involving UAV scenarios can be addressed in [23][24][25][26].…”

Section: Introductionmentioning

confidence: 99%

A Geometry-Based Beamforming Channel Model for UAV mmWave Communications

Masuda

Zhu

Song

et al. 2020

Sensors

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Considering the three-dimensional (3D) trajectory, 3D antenna array, and 3D beamforming of unmanned aerial vehicle (UAV), a novel non-stationary millimeter wave (mmWave) geometry-based stochastic model for UAV to vehicle communication channels is proposed. Based on the analysis results of measured and ray tracing simulation data of UAV mmWave communication links, the proposed parametric channel model is constructed by a line-of-sight path, a ground specular path, and two strongest single-bounce paths. Meanwhile, a new parameter computation method is also developed, which is divided into the deterministic (or geometry-based) part and the random (or empirical) part. The simulated power delay profile and power angle profile demonstrate that the statistical properties of proposed channel model are time-variant with respect to the scattering scenarios, positions and beam direction. Moreover, the simulation results of autocorrelation functions fit well with the theoretical ones as well as the measured ones.

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“…MBCM Channel Modeling: The GBSM and METIS projects have proposed a new modeling technique for the massive MIMO networks known as map-based channel modeling (MBCM) [195]. The METIS-based MBCM model is demonstrated based on an RT approach.…”

mentioning

confidence: 99%

“…However, the RT nature of the MBCM causes for a quite high complexity in channel modeling [195]. The practicability of MBCM needs to be explored further.…”

mentioning

confidence: 99%

A Critical Review on Channel Modeling: Implementations, Challenges and Applications

Saleem

Zhang

et al. 2023

Electronics

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In recent years, the use of massive multiple-input multiple-output (MIMO) systems and higher frequency bands for next-generation urban rail transportation systems has emerged as an intriguing research topic due to its potential to significantly increase network capacity by utilizing available narrowband and broadband spectrums. In metro and mining applications, the high-reliability wireless sensor network (WSN) plays a vital role in providing personal safety, channel optimization, and improving operational performance. Through the duration of 1921–2023, this paper provides the survey on the progress of fifth-generation (5G) and beyond-fifth-generation (B5G) wireless communication systems in underground environments such as tunnels and mines, the evolution of the earliest technologies, development in channel modeling for vehicle-to-vehicle (V2V) communications, and realization of different wireless propagation channels in high-speed train (HST) environments. In addition, the most recent advanced channel modeling methods are examined, including the development of new algorithms and their use in intelligent transportation systems (ITS); mathematical, analytical, and experimental techniques for propagation design; and the significance of the radiation characteristics, antenna placing, and physical environment effect on wireless communications. Leaky coaxial cable (LCX) and distributed antenna system (DAS) designs are introduced in the demonstrated systems for improving the channel capacity of narrowband and wideband channels as well as the spatial characteristics of various MIMO systems. The review article concludes by figuring out open research directions for future technologies.

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5G Millimeter Wave Channel Modeling and Simulations for a High-Voltage Substation

Cited by 8 publications

References 9 publications

Semi-Deterministic Dynamic Millimeter-Wave Channel Modeling Based on an Optimal Neural Network Approach

Semi-Deterministic Dynamic Millimeter-Wave Channel Modeling Based on an Optimal Neural Network Approach

A Geometry-Based Beamforming Channel Model for UAV mmWave Communications

A Critical Review on Channel Modeling: Implementations, Challenges and Applications

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