Physical Layer Enhancement for Next-Generation Railway Communication Systems

Li, Qianrui; Sibel, Jean-Christophe; Berbineau, Marion; Dayoub, Iyad; Gallée, François; Bonneville, Hervé

doi:10.1109/access.2022.3192971

Cited by 3 publications

(1 citation statement)

References 152 publications

(163 reference statements)

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“…This includes ensuring that the infrastructure is well-maintained, properly managed, and capable of meeting the current transportation system's demands. Furthermore, using technology and data analytics to optimize rail infrastructure and improve overall performance of the rail transport sector is critical [2], [3].…”

Section: Introductionmentioning

confidence: 99%

Short-Term Arrival Delay Time Prediction in Freight Rail Operations Using Data-Driven Models

et al. 2023

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Despite rail's growing popularity as a mode of freight transportation due to its role in intermodal transportation and numerous economic and environmental benefits, optimizing all aspects of rail infrastructure use remains a significant challenge. To address this issue, various methods for developing train disruption prediction models have been used. However, these models continue to struggle with accurately predicting short-term arrival delay times, as well as identifying the causes of delays and the expected impact on operations. The lack of information available to operators makes it difficult for them to effectively mitigate the effects of disruptions. The goal of this study is to investigate a set of data-driven models for the short-term prediction of arrival delay time using data from the National Railway Company of Luxembourg of freight rail operations between Bettembourg (Luxembourg) and other nine terminal stations across the EU, and then investigate the effects of the features associated with the arrival delay time. For our dataset, the lightGBM model outperformed other models in predicting the arrival delay time in freight rail operations, with departure delay time, trip distance, and train composition appearing to be the most influential features in predicting the arrival delay time in the short-term. The National Railway Company of Luxembourg can use the short-term prediction model developed in this study as a decision-support system. For example, knowing a train's arrival delay time allows you to estimate future operational time, providing more support to reduce disruptions and subsequent operational delays via a simple web service.INDEX TERMS Data-driven models, delays forecasting, freight transport, gradient boosting, rail operation delays.

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Section: Introductionmentioning

confidence: 99%

Short-Term Arrival Delay Time Prediction in Freight Rail Operations Using Data-Driven Models

et al. 2023

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Codebook Based Antenna Configuration: A New Network Planning Paradigm for mmWave Mobile Communication Systems

Shen

Han

Wang

2023

IEEE Trans. Veh. Technol.

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Optimized DM-RS Configuration for Improved 5G New Radio Network Capacity and Performance

Tomić,

Drajić,

Ivaniš

et al. 2024

Electronics

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Network load in mobile networks is continuously growing, putting pressure on mobile operators to deliver target network performance and user experience. This paper focuses on network capacity improvement through increased spectral efficiency, which can be achieved with overhead reduction by optimizing the demodulation reference signal (DM-RS) configuration, which is one of the channels/reference signals with the largest contribution to overhead. In a high-speed scenario, the Doppler effect noticeably influences the temporal nature of the channel such that a channel interpolation process is required within a slot. However, increasing the number of symbols used for DM-RS has a negative impact on capacity. The Doppler effect was analyzed for various 5G NR configurations of operating frequency and subcarrier spacing (SCS), and various use cases were considered using user equipment (UE) speed as the main parameter. For suitable use cases, the DM-RS configuration was optimized in networks with live traffic. The impact of the configuration change on 5G/NR spectral efficiency, user experience and link adaptation performance was assessed through a deep-dive analysis of active measurements, available performance Management (PM) counters and key performance indicators. An optimized DM-RS configuration is proposed, and it is demonstrated to achieve gains of 5–15%, depending on the metric used, use case analyzed, network load, traffic mix and other relevant network characteristics such as topology and clutter type.

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Physical Layer Enhancement for Next-Generation Railway Communication Systems

Cited by 3 publications

References 152 publications

Short-Term Arrival Delay Time Prediction in Freight Rail Operations Using Data-Driven Models

Short-Term Arrival Delay Time Prediction in Freight Rail Operations Using Data-Driven Models

Codebook Based Antenna Configuration: A New Network Planning Paradigm for mmWave Mobile Communication Systems

Optimized DM-RS Configuration for Improved 5G New Radio Network Capacity and Performance

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