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Computer Science > Information Theory

arXiv:2010.03344 (cs)
[Submitted on 7 Oct 2020 (v1), last revised 3 Feb 2021 (this version,
v2)]

Title:Orthogonal Time-Frequency Space Modulation: A Promising
Next-Generation Waveform

Authors:Zhiqiang Wei, Weijie Yuan, Shuangyang Li, Jinhong Yuan,
Ganesh Bharatula, Ronny Hadani, Lajos Hanzo
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    Abstract: The sixth-generation (6G) wireless networks are
    envisioned to provide a global coverage for the intelligent
    digital society of the near future, ranging from traditional
    terrestrial to non-terrestrial networks, where reliable
    communications in high-mobility scenarios at high carrier
    frequencies would play a vital role. In such scenarios, the
    conventional orthogonal frequency division multiplexing (OFDM)
    modulation, that has been widely used in both the
    fourth-generation (4G) and the emerging fifth-generation (5G)
    cellular systems as well as in WiFi networks, is vulnerable to
    severe Doppler spread. In this context, this article aims to
    introduce a recently proposed two-dimensional modulation scheme
    referred to as orthogonal time-frequency space (OTFS) modulation,
    which conveniently accommodates the channel dynamics via
    modulating information in the delay-Doppler domain. This article
    provides an easy-reading overview of OTFS, highlighting its
    underlying motivation and specific features. The critical
    challenges of OTFS and our preliminary results are presented. We
    also discuss a range of promising research opportunities and
    potential applications of OTFS in 6G wireless networks.

Comments: 9 pages, 6 figures, submitted to the possible magazine
Subjects: Information Theory (cs.IT)
Cite as:  arXiv:2010.03344 [cs.IT]
          (or arXiv:2010.03344v2 [cs.IT] for this version)
          https://doi.org/10.48550/arXiv.2010.03344
          Focus to learn more
          arXiv-issued DOI via DataCite

Submission history

From: Zhiqiang Wei [view email]
[v1] Wed, 7 Oct 2020 11:43:17 UTC (587 KB)
[v2] Wed, 3 Feb 2021 00:34:55 UTC (1,409 KB)
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