Geometry-Based Multi-Link Channel Modeling for High-Speed Train Communication Networks

Zhou, Tao; Cheng, Tao; Salous, Sana; Liu, Liu

doi:10.1109/tits.2019.2905036

Cited by 34 publications

(16 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Thus, the current railways communication system based on LTE cannot support the train-to-ground communication for vactrain. Same as the current HSR [17] and maglev train [7], the train-to-ground wireless communication is crucial for the safe operation of vactrain. The communication system is responsible for providing bidirectional and reliable data transmission channels between the train and ground to meet the specific needs of integrated services transmission [18].…”

Section: Introductionmentioning

confidence: 99%

Broadband Wireless Communication Systems for Vacuum Tube High-Speed Flying Train

et al. 2020

Self Cite

View full text Add to dashboard Cite

A vactrain (or vacuum tube high-speed flying train) is considered as a novel proposed rail transportation approach in the ultra-high-speed scenario. The maglev train can run with low mechanical friction, low air resistance, and low noise mode at a speed exceeding 1000 km/h inside the vacuum tube regardless of weather conditions. Currently, there is no research on train-to-ground wireless communication system for vactrain. In this paper, we first summarize a list of the unique challenges and opportunities associated with the wireless communication for vactrain, then analyze the bandwidth and Quality of Service (QoS) requirements of vactrain’s train-to-ground communication services quantitatively. To address these challenges and utilize the unique opportunities, a leaky waveguide solution with simple architecture but excellent performance is proposed for wireless coverage for vactrains. The simulation of the leaky waveguide is conducted, and the results show the uniform phase distribution along the horizontal direction of the tube, but also the smooth field distribution at the point far away from the leaky waveguide, which can suppress Doppler frequency shift, indicating that the time-varying frequency-selective fading channel could be approximated as a stationary channel. Furthermore, the train-to-ground wireless access architectures based on leaky waveguide are studied and analyzed. Finally, the moving scheme is adopted based on centralized, cooperative, cloud Radio Access Network (C-RAN), so as to deal with the extremely frequent handoff issue.

show abstract

Section: Introductionmentioning

confidence: 99%

Broadband Wireless Communication Systems for Vacuum Tube High-Speed Flying Train

et al. 2020

Self Cite

View full text Add to dashboard Cite

show abstract

“…Wireless channel scenario refers to a specific propagation environment such as the urban macrocell, urban satellite, indoor hotspot, etc [2], [3]. Usually, each propagation environment can be further classified into line-of-sight (LoS) and non-line-of-sight (NLoS) propagation scenarios.…”

Section: Introductionmentioning

confidence: 99%

Wireless Channel Propagation Scenarios Identification: A Perspective of Machine Learning

et al. 2020

Self Cite

View full text Add to dashboard Cite

Wireless channel scenarios identification is of pivotal significance for dedicated wireless communication design, especially for the heterogeneous network covering rich propagation environments. In this paper, the identification problem is investigated by machine learning approaches. To enhance the identification performance, some preprocessing methods, mainly referring to the data normalization and dimension reduction, are adopted. Then, both supervised and unsupervised learning algorithms, including k-nearest neighbor (k-NN), support vector machine (SVM), k-means, and Gaussian mixture model (GMM) are used to realize the scenarios identification, respectively. Finally, the identification performance of these four approaches are validated both on the actual measured HSR wireless channel data sets and the QuaDRiGa channel emulation platform with the ability of multiple scenarios emulation. Most of the results indicate that k-NN and SVM approaches can achieve an accuracy over 90%. As for those two unsupervised learning approaches, the GMM proves to be a promising approach by presenting a performance close to the former two approaches without training process, whereas the k-means yields an accuracy about 80%. INDEX TERMS Wireless channel, scenarios identification, machine learning, QuaDRiGa platform, highspeed railway scenarios.

show abstract

“…From the development of China's high-speed railway (HSR), it can be learned that high velocity brings about a number of benefits and merits such as shortening the travel time and helping establish socioeconomically balanced societies [1,2]. However, three inevitable factors primarily restrict the further acceleration, i.e., the mechanical resistance as well as the noise stemmed from the wheels and tracks, and the air resistance derived from air friction.…”

Section: Introductionmentioning

confidence: 99%

Concepts on Train-to-Ground Wireless Communication System for Hyperloop: Channel, Network Architecture, and Resource Management

et al. 2020

Self Cite

View full text Add to dashboard Cite

Hyperloop is envisioned as a novel transportation way with merits of ultra-high velocity and great traveling comforts. In this paper, we present some concepts on the key technologies dedicated to the train-to-ground communication system based on some prevailing fifth-generation communication (5G) technologies from three aspects: wireless channel, network architecture, and resource management. First, we characterize the wireless channel of the distributed antenna system (DAS) using the propagation-graph channel modelling theory. Simulation reveals that a drastic Doppler shift variation appears when crossing the trackside antenna. Hence, the leaky waveguide system is a promising way to provide a stable receiving signal. In this regard, the radio coverage is briefly estimated. Second, a cloud architecture is utilized to integrate several successive trackside leaky waveguides into a logical cell to reduce the handover frequency. Moreover, based on a many-to-many mapping relationship between distributed units (DUs) and centralized units (CUs), a novel access network architecture is proposed to reduce the inevitable handover cost by using the graph theory. Simulation results show that this scheme can yield a low handover cost. Then, with regards to the ultra-reliable and low latency communication (uRLLC) traffic, a physical resource block (PRB) multiplexing scheme considering the latency requirements of each traffic type is exploited. Simulation presents that this scheme can maximize the throughput of non-critical mission communication services while guaranteeing the requirements of uRLLC traffic. Finally, in terms of the non-critical mission communication services, two cache-based resource management strategies are proposed to boost the throughput and reduce the midhaul link burden by pre-fetching and post-uploading schemes. Simulation demonstrates that the cache-based schemes can boost the throughput dramatically.

show abstract

Geometry-Based Multi-Link Channel Modeling for High-Speed Train Communication Networks

Cited by 34 publications

References 38 publications

Broadband Wireless Communication Systems for Vacuum Tube High-Speed Flying Train

Broadband Wireless Communication Systems for Vacuum Tube High-Speed Flying Train

Wireless Channel Propagation Scenarios Identification: A Perspective of Machine Learning

Concepts on Train-to-Ground Wireless Communication System for Hyperloop: Channel, Network Architecture, and Resource Management

Contact Info

Product

Resources

About