5G waveforms for Railway

Saideh, Michel; Berbineau, Marion; Dayoub, Iyad

doi:10.1109/itst.2017.7972208

Cited by 6 publications

(2 citation statements)

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“…The work in [45], [145] studied the unique word embedded DFT-s-OFDM (UW-DFT-s-OFDM) waveform for HST. Various subcarrier filtering-based waveforms such as filter bank multi-carrier (FBMC), generalized frequency division multiplexing (GFDM), and subband filtering based waveforms such as universal filtered multi-carrier (UFMC) and resource block filtered OFDM (RB-f-OFDM) have been surveyed in [146], [147]. In 3GPP, after leveraging the performance of different waveforms and the complexity of introducing a new waveform in the specification, it is decided that only DFT-s-OFDM and cyclic prefix OFDM (CP-OFDM) are used.…”

Section: Phase Tracking Reference Signals (Pt-rs)mentioning

confidence: 99%

Physical Layer Enhancement for Next-Generation Railway Communication Systems

Sibel

Berbineau

et al. 2022

IEEE Access

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This paper presents an overview of the challenges and state-of-the-art physical layer enhancement designs for next-generation railway communication, also known as high-speed train (HST) communication. The physical layer design for the HST should adapt from its counterpart in the generalpurpose network because of the harsh propagation environment and extreme conditions, stringent latency and reliability requirements of dedicated railway applications, and frequency band scarcity caused by regulation. In this survey, we examine how conventional multiple-input-multiple-output (MIMO) family techniques such as beamforming, multi-cell MIMO, and relays can enhance the physical layer performance for HST. Physical layer enhancement assisted by novel reconfigurable intelligent surface (RIS) technology was also analyzed from different perspectives. Dedicated control channels, reference signals, waveforms, and numerology designs for train-to-infrastructure (T2I) and train-to-train (T2T) communication in sidelinks are also reviewed. Finally, a brief introduction to artificial intelligence (AI)/machine learning (ML)-aided HST physical layer design is provided. Several promising research avenues have also been suggested.

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Section: Phase Tracking Reference Signals (Pt-rs)mentioning

confidence: 99%

Physical Layer Enhancement for Next-Generation Railway Communication Systems

Sibel

Berbineau

et al. 2022

IEEE Access

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“…To improve the spectral efficiency, recent research focuses on enhancing OFDM waveforms with filtering components [3, 4] and the debate over different waveform candidates for the 5G new radio (NR) physical layer has been exhaustive during the last few years [5]. For example, in filter bank MC (FBMC) [6], the filters divide a transmission band into isolated sub‐bands and apply a filtering functionality to each sub‐carrier.…”

Section: Introductionmentioning

confidence: 99%