Broadband wireless communications on high speed trains

Zhou, Yiqing; Pan, Zhengang; Hu, Jian; Shi, Jinglin; Mo, Xinwei

doi:10.1109/wocc.2011.5872303

Cited by 110 publications

(49 citation statements)

References 14 publications

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“…Besides, the handover of HST users can happen more frequently, which will result in higher probability of handover failure and connection loss. Also, as cabins of HSTs are usually built with metal like aluminum, there will be huge penetration losses when signals get into carriages [5]. In order to solve these problems, many new cellular architectures such as the distributed antenna system (DAS) [6]- [8] and the mobile relay station (MRS) [9], [10] (or mobile Femtocell [4], [11]) have been investigated.…”

mentioning

confidence: 99%

Performance Investigation of Spatial Modulation Systems Under Non-Stationary Wideband High-Speed Train Channel Models

Wang

Ghazal

et al. 2016

IEEE Trans. Wireless Commun.

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mentioning

confidence: 99%

Performance Investigation of Spatial Modulation Systems Under Non-Stationary Wideband High-Speed Train Channel Models

Wang

Ghazal

et al. 2016

IEEE Trans. Wireless Commun.

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“…Rationale behind the difference in the definitions for uplink and downlink connectivity probability is that capacities (transmit/receive radii) of BSs and vehicles are different and safety information broadcasting in VANETs has the highest priority, so for downlink transmission, how to guarantee that all vehicles are able to receive safety information should be focused, while for uplink transmission, it is not that strict 5 (e.g., if 98% of messages from vehicles can be received by the infrastructure, then uplink connectivity performance may also be regarded as good).…”

Section: Connectivity Probability For Multi-hop Infrastructure-bamentioning

confidence: 99%

“…China has been carrying out an ambitious plan to build a national TD-LTE mobile network. Meanwhile, the IEEE 802.11p and 1609 standards are under development to support Wireless Access in Vehicular Environment (WAVE) in VANETs and to deliver safety and non-safety applications to vehicles on the road [3] [4], and wireless system for high speed trains are also under research [5]. However, how to provide easy and effective communications between vehicles with dynamic mobility and as well as between vehicles and roadside base stations still remains an open and challenging area.…”

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confidence: 99%

Multi-Hop Connectivity Probability in Infrastructure-Based Vehicular Networks

Zhang

Chen

Yang

et al. 2012

IEEE J. Select. Areas Commun.

117

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Abstract-Infrastructure-based vehicular networks (consisting of a group of Base Stations (BSs) along the road) will be widely deployed to support Wireless Access in Vehicular Environment (WAVE) and a series of safety and non-safety related applications and services for vehicles on the road. As an important measure of user satisfaction level, uplink connectivity probability is defined as the probability that messages from vehicles can be received by the infrastructure (i.e., BSs) through multi-hop paths. While on the system side, downlink connectivity probability is defined as the probability that messages can be broadcasted from BSs to all vehicles through multi-hop paths, which indicates service coverage performance of a vehicular network. This paper proposes an analytical model to predict both uplink and downlink connectivity probabilities. Our analytical results, validated by simulations and experiments, reveal the trade-off between these two key performance metrics and the important system parameters, such as BS and vehicle densities, radio coverage (or transmission power), and maximum number of hops. This insightful knowledge enables vehicular network engineers and operators to effectively achieve high user satisfaction and good service coverage, with necessary deployment of BSs along the road according to traffic density, user requirements and service types.Index Terms-Vehicular ad-hoc Network (VANET), Wireless Access in Vehicular Environment (WAVE), IEEE 802.11p, IEEE 1609, Connectivity Probability

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“…SYSTEM ARCHITECTURE This paper considers a two-hop architecture, i.e., RAUrelay [10] and relay-onboard, proposed by [11][12][13], as shown in Fig. 1.…”

Section: Introductionmentioning

confidence: 99%

An Expedited Predictive Distributed Antenna System Based Handover Scheme for High-Speed Railway

Ali

Wang

Zhu

et al. 2017

GLOBECOM 2017 - 2017 IEEE Global Communications Conference

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Abstract-High-speed train has drawn considerable attention and become one of the most preferable conveyance mechanism. Each year the manufacture corporations reach a higher speed record which is expected to attain 1000 km/h by 2021 using hyperloop one technology. Moving at such a high speed results in a high handover (HO) rate which makes it challenging for high speed railway (HSR) mobile wireless communication to preserve steady link performance. Employing distributed antenna systems (DASs) along with the two-hop architecture, this paper proposes a fast predictive HO algorithm. In this strategy, the serving cell starts the HO preparation phase in advance by inferring the train current location. Issuing the HO preparation phase in advance reduces the HO latency and reduces the HO command failure probability as well. Lower HO command failure probability means lower HO failure probability which could greatly improve the end-users quality of services (QoS). The analytical results show that the proposed scheme performs better compared with the conventional HO scheme.Index Terms-Mobile Relay, Distributed Antenna System, Handover, Frequency Switch, High-speed Railway. I. INTRODUCTIONCurrently, more and more attempts have been performed to satisfy the ever-growing desire for internet access due to the trending application which connects people all over the globe. This kind of popularity results in wide diverse requirements which range from simple web browsing to mobile video communication, e.g. video conferencing. Lately, high-speed railway (HSR) mobile communication system has paid a lot of attention on providing internet access with high quality of service (QoS) [1] to entice more travelers. With the global tendency towards green environment, the gradual prosperity of high-speed railway (HSR) will make it one of the most leading transportation means in the near feature. Yet, the current available mobile broadband wireless communication technology is only suitable for low-to-medium-mobility scenarios.HSR broadband wireless communication encounters challenges from time varying channel, frequency selective fading, and high penetration loss of 10-40 dB. More importantly, high moving speed leads to frequent handover (HO). For example, an HO would be required every 10 s assuming a coverage area of 1 km in conjunction with a speed of 360 km/h. The frequent HO results in long delay, high packet loss, and high drop off rate, degrading the overall system performance.The current HO solution can be divided into three main categories. The first category is the location based triggering using the global positioning system (GPS) signalling [2,3].

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Broadband wireless communications on high speed trains

Cited by 110 publications

References 14 publications

Performance Investigation of Spatial Modulation Systems Under Non-Stationary Wideband High-Speed Train Channel Models

Performance Investigation of Spatial Modulation Systems Under Non-Stationary Wideband High-Speed Train Channel Models

Multi-Hop Connectivity Probability in Infrastructure-Based Vehicular Networks

An Expedited Predictive Distributed Antenna System Based Handover Scheme for High-Speed Railway

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