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    Analysis of Discrete-Time MIMO OFDM-Based Orthogonal Time Frequency Space Modulation


    Rezazadehreyhani, Ahmad and Farhang, Arman and Ji, Mingyue and Chen, Rong Rong and Farhang-Boroujeny, Behrouz (2018) Analysis of Discrete-Time MIMO OFDM-Based Orthogonal Time Frequency Space Modulation. In: 2018 IEEE International Conference on Communications (ICC). IEEE. ISBN 9781538631805

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    Abstract

    Orthogonal Time Frequency Space (OTFS) is a novel modulation scheme designed in the Doppler-delay domain to fully exploit time and frequency diversity of general timevarying channels. In this paper, we present a novel discrete-time analysis of OFDM-based OTFS transceiver with a concise and vectorized input-output relationship that clearly characterizes the contribution of each underlying signal processing block in such systems. When adopting cyclic prefix in the time domain, our analysis reveals that the proposed MIMO OTFS and OFDM systems have the same ergodic capacity despite the well-known fact that the former has great advantages in low-complexity receiver design for high Doppler channels. The proposed discretetime vectorized formulation is applicable to general fast fading channels with arbitrary window functions. It also enables practical low-complexity receiver design for which such a concise formulation of the input-output relationship is of great benefits.

    Item Type: Book Section
    Additional Information: This is the preprint version of the published paper, which is available at A. RezazadehReyhani, A. Farhang, M. Ji, R. R. Chen and B. Farhang-Boroujeny, "Analysis of Discrete-Time MIMO OFDM-Based Orthogonal Time Frequency Space Modulation," 2018 IEEE International Conference on Communications (ICC), Kansas City, MO, 2018, pp. 1-6, doi: 10.1109/ICC.2018.8422467. This version is available at arXiv:1710.07900 [cs.IT]
    Keywords: OTFS; OFDM; MIMO; Ergodic Capacity; Time-frequency analysis; Receivers; Modulation; MIMO communication; Transmitters; Discrete Fourier transforms;
    Academic Unit: Faculty of Science and Engineering > Electronic Engineering
    Faculty of Science and Engineering > Research Institutes > Hamilton Institute
    Item ID: 13427
    Identification Number: https://doi.org/10.1109/ICC.2018.8422467
    Depositing User: Arman Farhang
    Date Deposited: 08 Oct 2020 14:18
    Publisher: IEEE
    Refereed: Yes
    URI:

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