Dynamic Channel Model With Overhead Line Poles for High-Speed Railway Communications

Zhou, Lai; Yang, Zhi; Luan, Fengyu; Molisch, Andreas F.; Tufvesson, Fredrik; Zhou, Shidong

doi:10.1109/lawp.2018.2822399

Cited by 16 publications

(6 citation statements)

References 9 publications

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“…Exemplary LSFs for the hilly terrain with cutting environment are shown in Fig. 3 for three snapshots at t = [15,20,25]s. We can clearly see the time-variant behavior of the LOS signal and also the sparse but moving MPCs.…”

Section: A From the Measured Transfer Function To The Estimated Local Scattering Functionmentioning

confidence: 99%

“…T2G channel models were introduced in [12] for railway stations and in [13] for cross bridges. A T2G geometry-based stochastic channel model (GSCM) was presented in [14] and the influence of regularly appearing objects like overhead line masts on the channel was analyzed in [15]. Further work on T2G channel models is summarized in [16]- [19].…”

Section: Introductionmentioning

confidence: 99%

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Stochastic Channel Parameters for Train-to-Train Communications

Unterhuber

Walter

Fiebig

et al. 2021

IEEE Open J. Antennas Propag.

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The profound knowledge of radio wave propagation is essential for the design and test of wireless communication systems especially in demanding environments and for mobile transmitters and receivers. In this article we provide an accurate description of the relevant propagation parameters for train-to-train scenarios considering typical environments such as railway stations, open field and hilly terrain with cutting.At the beginning of this contribution we shortly describe the comprehensive train-to-train measurement campaign which is the basis for all further evaluations. We treat the stationarity of the channel in time and frequency and derive power delay profiles, and the Doppler spectral densities. Furthermore, distance-variant statistics about the k-factor, delay spread and Doppler frequency spread are presented. We show that these parameters change very much for different environments and distances. For all stochastic channel parameters we propose distance dependent model parameters.Index Terms-high speed train, train-to-train propagation, non-stationarity, stochastic channel model, power delay profile, fading statistics, rms delay and Doppler frequency spread, k-factor, path loss model This paragraph of the first footnote will contain the date on which you submitted your paper for review.

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Section: A From the Measured Transfer Function To The Estimated Local Scattering Functionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Stochastic Channel Parameters for Train-to-Train Communications

Unterhuber

Walter

Fiebig

et al. 2021

IEEE Open J. Antennas Propag.

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“…Therefore, further investigation is needed to develop an understanding of channel models for HSR. Some interesting studies are presented in [137]- [139] and the references therein.…”

Section: Lte-amentioning

confidence: 99%

A Comprehensive Survey on Moving Networks

Jaffry

Hussain

Gui

et al. 2020

Preprint

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The unprecedented increase in the demand for mobile data, fuelled by new emerging applications and usecases such as high-definition video streaming and heightened online activities has caused massive strain on the existing cellular networks. As a solution, the fifth generation (5G) of cellular technology has been introduced to improve network performance through various innovative features such as millimeter-wave spectrum and Heterogeneous Networks (HetNet). In essence, HetNets include several small cells underlaid within macro-cell to serve densely populated regions like stadiums, shopping malls, and so on. Recently, a mobile layer of HetNet has been under consideration by the researchers and is often referred to as moving networks. Moving networks comprise of mobile cells that are primarily introduced to improve Quality of Service (QoS) for commuting users inside public transport because the QoS is deteriorated due to vehicular penetration losses and high Doppler shift. Furthermore, the users inside fast moving public transport also exert excessive load on the core network due to large group handovers. To this end, mobile cells will play a crucial role in reducing overall handover count and will help in alleviating these problems by decoupling in-vehicle users from the core network. This decoupling is achieved by introducing separate in-vehicle access link, and out-of-vehicle backhaul links with the core network. Additionally sidehaul links will connect mobile cells with their neighbors.To date, remarkable research results have been achieved by the research community in addressing challenges linked to moving networks. However, to the best of our knowledge, a discussion on moving networks and mobile cells in a holistic way is missing in the current literature. To fill the gap, in this paper, we comprehensively survey moving networks and mobile cells. We cover the technological aspects of moving cells and their applications in the futuristic applications. We also discuss the use-cases and value additions that moving networks may bring to future cellular architecture and identify the challenges associated with them. Based on the identified challenges we discuss the future research directions.

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“…On the other hand, the HSR system brings new challenges to mobile data communications as data transmitters and receivers move at a much higher speed than walking and driving speeds [3]. Accordingly, a series of new phenomena that are negligible at low speed become nontrivial and cannot be omitted anymore, e.g., Doppler shift and dynamic shadowing [4], [5]. Moreover, the fast varying network topology and wireless environment make channel estimation, handover, and resource allocation even harder [6]- [8].…”

Section: Introductionmentioning

confidence: 99%

A Simple LTE-R Resource Allocation Scheme for Relay-Assisted Railway Communications

Zhang

Dang

2023

2023 IEEE Wireless Communications and Networking Conference (WCNC)

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In this paper, we consider a multi-carrier railway communication scenario, where each train wagon is equipped with a single cooperative relay for quality of service (QoS) enhancement. For a classic Long-Term Evolution for Railways (LTE-R) resource allocation problem in the context of railway communications, we propose a low-complexity resource allocation scheme by the dimension reduction of cost matrix, aiming to maximize the number of clients properly served in the cabin by a minimum amount of energy consumption. The proposed scheme can produce near-optimal solutions compared to the optima returned by the extensive search over the entire solution space. As a key advantage of the proposed scheme, the computational complexity is greatly reduced, leading to a much faster LTE-R resource allocation process than that of the optimal benchmark. Such an advantage well satisfies the real-time service demands of users traveling through high-speed railway (HSR) when the network topology and wireless environment could drastically vary over a short period of time (100-500 ms). We carry out extensive simulations to verify the effectiveness and efficiency of the proposed LTE resource allocation scheme for relay-assisted railway communications.

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Dynamic Channel Model With Overhead Line Poles for High-Speed Railway Communications

Cited by 16 publications

References 9 publications

Stochastic Channel Parameters for Train-to-Train Communications

Stochastic Channel Parameters for Train-to-Train Communications

A Comprehensive Survey on Moving Networks

A Simple LTE-R Resource Allocation Scheme for Relay-Assisted Railway Communications

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