Kollengode Ramachandran, M and Chockalingam, A (2019) MIMO-OTFS in High-Doppler Fading Channels: Signal Detection and Channel Estimation. In: 2018 IEEE Global Communications Conference, GLOBECOM 2018, 9 - 13 December 2018, Abu Dhabi.
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Abstract
Orthogonal time frequency space (OTFS) modulation is a recently introduced multiplexing technique designed in the 2-dimensional (2D) delay-Doppler domain suited for high-Doppler fading channels. OTFS converts a doubly-dispersive channel into an almost non-fading channel in the delay-Doppler domain through a series of 2D transformations. In this paper, we focus on MIMO-OTFS which brings in the high spectral and energy efficiency benefits of MIMO and the robustness of OTFS in high-Doppler fading channels. The OTFS channel-symbol coupling and the sparse delay-Doppler channel impulse response enable efficient MIMO channel estimation in high Doppler environments. We present an iterative algorithm for signal detection based on message passing and a channel estimation scheme in the delay-Doppler domain suited for MIMO-OTFS. The proposed channel estimation scheme uses impulses in the delay-Doppler domain as pilots for estimation. We also compare the performance of MIMO-OTFS with that of MIMO-OFDM under high Doppler scenarios. © 2018 IEEE.
| Item Type: | Conference Paper |
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| Publication: | 2018 IEEE Global Communications Conference, GLOBECOM 2018 - Proceedings |
| Publisher: | Institute of Electrical and Electronics Engineers Inc. |
| Additional Information: | The copyright for this article belongs to the Authors. |
| Keywords: | Communication channels (information theory); Energy efficiency; Fading channels; Impulse response; Iterative methods; Message passing; MIMO systems; Modulation; Signal detection, Doppler; Doubly dispersive channels; Efficiency benefits; Iterative algorithm; MIMO channel estimation; Multiplexing techniques; Non-fading channels; Time-frequency space, Channel estimation |
| Department/Centre: | Division of Electrical Sciences > Electrical Communication Engineering |
| Date Deposited: | 24 Aug 2022 05:59 |
| Last Modified: | 24 Aug 2022 05:59 |
| URI: | https://eprints.iisc.ac.in/id/eprint/76339 |
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