Rezazadehreyhani, Ahmad, Farhang, Arman, Ji, Mingyue, 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
Preview
AF_ee_analysis.pdf
Download (175kB) | Preview
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: | 10.1109/ICC.2018.8422467 |
Depositing User: | Arman Farhang |
Date Deposited: | 08 Oct 2020 14:18 |
Publisher: | IEEE |
Refereed: | Yes |
Related URLs: | |
URI: | https://mu.eprints-hosting.org/id/eprint/13427 |
Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
Repository Staff Only (login required)
Downloads
Downloads per month over past year