A Simplified Multipath Component Modeling Approach for High-Speed Train Channel Based on Ray Tracing

Yang, Jingya; Ai, Bo; He, Danping; Wang, Longhe; Zhang, Zhong; Hrovat, Andrej

doi:10.1155/2017/8517204

Cited by 12 publications

(5 citation statements)

References 47 publications

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“…In Ref. [19], the channel measurements at 93.2 GHz were carried out with 2 GHz bandwidth in the HSR urban scenario, and several channel characteristics, such as path loss (PL) and amplitude statistics, were analysed. Beyond that, some theoretical HSR channel models have been discussed.…”

Section: Introductionmentioning

confidence: 99%

Channel measurement and characterisation for 5G multi‐scenarios at 26 and 38 GHz

Wang,

Yang,

Zhu

et al. 2023

IET Microwaves Antenna & Prop

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Millimetre‐wave (mmWave) frequencies play a vital role in fifth‐generation (5G) wireless systems and beyond due to the vast available bandwidth of several GHz. This paper presents channel characteristics and their channel models for mmWave based on extensive channel measurements at 26 and 38 GHz conducted in 5G scenarios, such as the rooftop, the high‐speed railway, and the Industrial Internet of Things scenarios. The channel sounder receiver (Rx) uses an omnidirectional or phased array antenna to meet the requirements of channel measurement, such as recording absolute delay and obtaining 3‐dimensional angular information. We use the classical close‐in model and floating‐intercept model to model path loss. Meanwhile, channel statistics in the delay domain are derived from the measured power delay profiles. Note that the different scenarios are measured with the same channel sounder, making the measurement results of different scenarios comparable. It is shown that the shadow fading parameter σ is 0.7 dB as fewer large scatterers exist in the rooftop scenario. Moreover, due to the significant dependence of delay spread on the geometric relationship between the transmitter (Tx), Rx, and surrounding environment, the statistical data in the delay domain varies significantly in different scenarios. The channel characteristics and models will guide future air‐interface, beamforming, and transceiver designs for 5G and beyond.

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Section: Introductionmentioning

confidence: 99%

Channel measurement and characterisation for 5G multi‐scenarios at 26 and 38 GHz

Wang,

Yang,

Zhu

et al. 2023

IET Microwaves Antenna & Prop

Self Cite

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“…According to [31], totally 30 paths are generated for the 20000 timeslot periods, as shown in Fig. 4.…”

Section: Numerical Resultsmentioning

confidence: 99%

“…where N t is the element number of ULA at mRRH, N r is the element number of ULA at mTAT, L is the number of effective channel paths corresponding to the limited number of scatters, α l ∈ C is the complex gain associated with the l th path, φ r l and φ t l are the AoAs and AoDs, respectively, and ν l denotes the Doppler shift associated with the l th path. It can be known from [31] that the line-of-sight (LoS) path always exists in rapidly time-varying HST environments which is quite different from typical urban environments. Without loss of generality, the first path, i.e., l = 1, is the LoS path and others are the non-line-of-sight (NLoS)/reflected paths.…”

Section: B Sparse Mmwave Channel Model In Hst Environmentsmentioning

confidence: 99%

“…Moreover, the generation or disappearance of a NLoS/reflected path is difficult to predict in advance. Mathematically, except for the LoS path, the lifetime of the NLoS/reflected paths can be characterized by the birth and death process [31]. In other words, the number of effective channel paths L in ( 1) is no less than 1 and changes over time.…”

Section: B Sparse Mmwave Channel Model In Hst Environmentsmentioning

confidence: 99%

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Bandit Inspired Beam Searching Scheme for mmWave High-Speed Train Communications

Wang¹,

Cheng²,

Wang³

et al. 2018

Preprint

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High-speed trains (HSTs) are being widely deployed around the world. To meet the high-rate data transmission requirements on HSTs, millimeter wave (mmWave) HST communications have drawn increasingly attentions. To realize sufficient link margin, mmWave HST systems employ directional beamforming with large antenna arrays, which results in that the channel estimation is rather timeconsuming. In HST scenarios, channel conditions vary quickly and channel estimations should be performed frequently. Since the period of each transmission time interval (TTI) is too short to allocate enough time for accurate channel estimation, the key challenge is how to design an efficient beam searching scheme to leave more time for data transmission. Motivated by the successful applications of machine learning, this paper tries to exploit the similarities between current and historical wireless propagation environments. Using the knowledge of reinforcement learning, the beam searching problem of mmWave HST communications is formulated as a multi-armed bandit (MAB) problem and a bandit inspired beam searching scheme is proposed to reduce the number of measurements as many as possible.Unlike the popular deep learning methods, the proposed scheme does not need to collect and store a massive amount of training data in advance, which can save a huge amount of resources such as storage space, computing time, and power energy. Moreover, the performance of the proposed scheme

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“…At present, the research of mm-wave in HSR scenarios has also made progress. Yang et al [41] and He et al [42] measured the mm-wave propagation in HSR scenarios, and accordingly studied the path loss characteristics. Based on the path loss measurement at 90 GHz in a railway viaduct scenario, similar calibration works are also performed in [43].…”

Section: Related Workmentioning

confidence: 99%

Resource Allocation for Millimeter-Wave Train-Ground Communications in High-Speed Railway Scenarios

Zhang

Niu

Mao

et al. 2021

Preprint

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With the development of wireless communication, higher requirements arise for train-ground wireless communications in high-speed railway (HSR) scenarios. The millimeter-wave (mm-wave) frequency band with rich spectrum resources can provide users in HSR scenarios with high performance broadband multimedia services, while the full-duplex (FD) technology has become mature. In this paper, we study train-ground communication system performance in HSR scenarios with mobile relays (MRs) mounted on rooftop of train and operating in the FD mode. We formulate a nonlinear programming problem to maximize network capacity by allocation of spectrum resources. Then, we develop a sequential quadratic programming (SQP) algorithm based on the Lagrange function to solve the bandwidth allocation optimization problem for track-side base station (BS) and MRs in this mm-wave train-ground communication system. Extensive simulation results demonstrate that the proposed SQP algorithm can effectively achieve high network capacity for trainground communication in HSR scenarios while being robust to the residual self-interference (SI).

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A Simplified Multipath Component Modeling Approach for High-Speed Train Channel Based on Ray Tracing

Cited by 12 publications

References 47 publications

Channel measurement and characterisation for 5G multi‐scenarios at 26 and 38 GHz

Channel measurement and characterisation for 5G multi‐scenarios at 26 and 38 GHz

Bandit Inspired Beam Searching Scheme for mmWave High-Speed Train Communications

Resource Allocation for Millimeter-Wave Train-Ground Communications in High-Speed Railway Scenarios

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