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On OTFS modulation for high-doppler fading channels

Murali, KR and Chockalingam, A (2018) On OTFS modulation for high-doppler fading channels. In: 2018 Information Theory and Applications Workshop, ITA 2018, 11 - 16 February 2018, San Diego.

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Official URL: https://doi.org/10.1109/ITA.2018.8503182

Abstract

Orthogonal time frequency space (OTFS) modulation is a 2-dimensional (2D) modulation scheme designed in the delay-Doppler domain, unlike traditional modulation schemes which are designed in the time-frequency domain. Through a series of 2D transformations, OTFS converts a doubly-dispersive channel into an almost non-fading channel in the delay-Doppler domain. In this domain, each symbol in a frame experiences an almost constant fade, thus achieving significant performance gains over existing modulation schemes such as OFDM. The sparse delay-Doppler impulse response which reflects the actual physical geometry of the wireless channel enables efficient channel estimation, especially in high-Doppler fading channels. This paper investigates OTFS from a signal detection and channel estimation perspective, and proposes a Markov chain Monte-Carlo sampling based detection scheme and a pseudo-random noise (PN) pilot based channel estimation scheme in the delay-Doppler domain.

Item Type: Conference Paper
Publication: 2018 Information Theory and Applications Workshop, ITA 2018
Publisher: Institute of Electrical and Electronics Engineers Inc.
Additional Information: The copyright for this article belongs to the Authors.
Keywords: Channel estimation; Fading channels; Frequency domain analysis; Impulse response; Information theory; Markov processes; Monte Carlo methods; Signal detection; Signal sampling, Doppler; Doubly dispersive channels; Markov chain monte carlo samplings; Modulation schemes; Non-fading channels; Pseudo-Random Noise; Time frequency domain; Time-frequency space, Modulation
Department/Centre: Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited: 26 Aug 2022 06:35
Last Modified: 26 Aug 2022 06:35
URI: https://eprints.iisc.ac.in/id/eprint/76225

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