A Testbed for Evaluating LTE in High-Speed Trains

Rodríguez-Piñeiro, José; García-Naya, José A.; Carro-Lagoa, Angel; Castedo, Luis

doi:10.1109/dsd.2013.27

Cited by 12 publications

(7 citation statements)

References 19 publications

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“…The onboard equipment consists of two nodes from the so-called GTEC Testbed (described in [19,20]) operating in receive-only mode. Each of them includes an Ettus/National Instruments Universal Software Radio Peripheral (USRP) B210 (see Figure 5(b)) board connected to a laptop running the GTEC 5G Simulator [20] (see Figure 5(a)) and the Mathworks LTE Toolbox.…”

Section: Onboard Equipmentmentioning

confidence: 99%

Experimental Characterization of LTE Wireless Links in High-Speed Trains

Domínguez-Bolaño

Rodríguez-Piñeiro

García-Naya

et al. 2017

Wireless Communications and Mobile Computing

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Multimedia and data-based services experienced a nonstopping growth over the last few years. People are continuously on the move using devices to access multimedia contents or other data-based services. Due to this, railway companies are showing a great interest in deploying broadband mobile wireless networks in high-speed-trains with the aim of supporting both passenger services provisioning as well as automatic train control and signaling. Nowadays, the most widely used technology for communications between trains and the railway infrastructure is GSM for Railways (GSM-R); however, it has limited capabilities to support such advanced services. Due to its success in the mass market, Long Term Evolution (LTE) seems to be the best candidate to substitute GSM-R. In this paper, we experimentally characterize the downlink between an LTE Evolved NodeB (eNodeB) and a high-speed train in a commercial high-speed line. We consider two links: the one between the eNodeB and the antennas placed outdoors on the train roof, and the direct link between the eNodeB and a receiver inside the train. Such a characterization consists in assessing the path loss, the Signal to Noise Ratio, the K-Factor, the Power Delay Profile, the delay spread, and the Doppler Power Spectral Density.

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Section: Onboard Equipmentmentioning

confidence: 99%

Experimental Characterization of LTE Wireless Links in High-Speed Trains

Domínguez-Bolaño

Rodríguez-Piñeiro

García-Naya

et al. 2017

Wireless Communications and Mobile Computing

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“…The testbed employed for the experimental evaluation in this work is an upgrade of that employed in the measurement campaigns described in [18,19] which, at the same time, has evolved from the one described in [24]. The testbed consists of three USRP B210 boards [25] (see Figures 3 and 4) built from the AD9361 chip [26] by Analog Devices, which supports a continuous frequency coverage from 70 MHz to 6 GHz; full-duplex MIMO operation with up to 56 MHz of bandwidth; USB 3.0 connectivity; on-chip 12 bit analog-to-digital converters (ADC) and digital-to-analog converters (DAC) up to 61.44 M sample/s; automatic gain control; and configurable transmit and receive gain values.…”

Section: Methodsmentioning

confidence: 99%

Experimental evaluation of the WiMAX downlink physical layer in high-mobility scenarios

Suárez-Casal

Rodríguez-Piñeiro

García-Naya

et al. 2015

J Wireless Com Network

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The experimental evaluation of the WiMAX downlink physical layer in high-mobility scenarios is extremely difficult to carry out because it requires the realization of measurement campaigns with expensive fast-moving vehicles. In this work, however, we succeeded in doing such an experimental evaluation with a low-mobility vehicle. The key idea is the enlargement of the symbol period prior to its transmission over the air. Such enlargement reduces the frequency spacing between the orthogonal frequency division multiplexing (OFDM) subcarriers in WiMAX transmissions and hence induces significant inter-carrier interference (ICI) on the received signals. The performance impact of such ICI in terms of error vector magnitude (EVM) and throughput is analyzed under different conditions like the use of multiple antennas, the placement of the receive antennas, or the accuracy of the channel information to adapt the transmission rate.

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“…Due to the high speed of the train and the hostile HST environments, conducting accurate channel measurements for HST communication systems is challenging and needs to address particular hardware and software requirements, e.g., robustness, scalability, hardware redundancy and traceability [41]. Many measurement campaigns [42], [44]- [48], [51]- [75], [77]- [79], [81]- [90] for different HST environments were presented in the literature.…”

Section: Hst Channel Measurementsmentioning

confidence: 99%