OTFS transceiver design and sparse doubly-selective CSI estimation in analog and hybrid beamforming aided mmWave MIMO systems
OTFS transceiver design and sparse doubly-selective CSI estimation in analog and hybrid beamforming aided mmWave MIMO systems
Orthogonal time frequency space (OTFS) waveform based millimeter wave (mmWave) MIMO systems are capable of achieving high data rates in high-mobility scenarios. Hence, transceivers are designed for both analog beamforming (AB) and hybrid beamforming (HB), where we commence by deriving the delay-Doppler (DD)-domain input-output relationship considering a delay-Doppler-angular domain channel model. Subsequently, a novel two-stage procedure is developed for transmit beamformer (TBF)/ precoder (TPC) and receiver combiner (RC) design, and for estimating the DD-domain’s equivalent channel state information (CSI). The key feature of the proposed framework is that the RF TBF/ TPC and RC design maximizes the directional beamforming gains. It is also demonstrated that the low-dimensional baseband CSI of the DD-domain becomes sparse for mmWave-AB MIMO OTFS systems, and block-sparse for mmWave-HB MIMO OTFS systems. Subsequently, Bayesian learning (BL) and block-sparse BL (BS-BL) solutions are developed for improved CSI estimation. We also derive the Bayesian Cramer-Rao lower bounds (BCRLB) for benchmarking the mean-squared-error (MSE) of the CSI estimates. Finally, our simulation results demonstrate the improved efficacy of the proposed transceiver designs and confirm the enhanced CSI estimation performance of the BL-based schemes over other competing sparse signal recovery schemes.
Array signal processing, BCRLB, CSI estimation, Channel estimation, Estimation, MIMO communication, OFDM, OTFS, Transceivers, Wireless communication, analog beamforming, block sparsity, delay-Doppler-angular domain channel, high-Doppler, hybrid precoding, mmWave
10902-10917
Srivastava, Suraj
7b40cb6c-7bc6-402c-8751-24346d39002c
Kumar Singh, Rahul
5bf0c2f9-c5c0-426f-b9dc-8ee278f0afe8
Jagannatham, Aditya K.
ea2f628b-0f2a-48a3-a293-122c809757aa
Chockalingam, A.
c9f570b3-fdb1-4857-aa39-3f8dc3e30a3c
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
1 December 2022
Srivastava, Suraj
7b40cb6c-7bc6-402c-8751-24346d39002c
Kumar Singh, Rahul
5bf0c2f9-c5c0-426f-b9dc-8ee278f0afe8
Jagannatham, Aditya K.
ea2f628b-0f2a-48a3-a293-122c809757aa
Chockalingam, A.
c9f570b3-fdb1-4857-aa39-3f8dc3e30a3c
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Srivastava, Suraj, Kumar Singh, Rahul, Jagannatham, Aditya K., Chockalingam, A. and Hanzo, Lajos
(2022)
OTFS transceiver design and sparse doubly-selective CSI estimation in analog and hybrid beamforming aided mmWave MIMO systems.
IEEE Transactions on Wireless Communications, 21 (12), .
(doi:10.1109/TWC.2022.3188040).
Abstract
Orthogonal time frequency space (OTFS) waveform based millimeter wave (mmWave) MIMO systems are capable of achieving high data rates in high-mobility scenarios. Hence, transceivers are designed for both analog beamforming (AB) and hybrid beamforming (HB), where we commence by deriving the delay-Doppler (DD)-domain input-output relationship considering a delay-Doppler-angular domain channel model. Subsequently, a novel two-stage procedure is developed for transmit beamformer (TBF)/ precoder (TPC) and receiver combiner (RC) design, and for estimating the DD-domain’s equivalent channel state information (CSI). The key feature of the proposed framework is that the RF TBF/ TPC and RC design maximizes the directional beamforming gains. It is also demonstrated that the low-dimensional baseband CSI of the DD-domain becomes sparse for mmWave-AB MIMO OTFS systems, and block-sparse for mmWave-HB MIMO OTFS systems. Subsequently, Bayesian learning (BL) and block-sparse BL (BS-BL) solutions are developed for improved CSI estimation. We also derive the Bayesian Cramer-Rao lower bounds (BCRLB) for benchmarking the mean-squared-error (MSE) of the CSI estimates. Finally, our simulation results demonstrate the improved efficacy of the proposed transceiver designs and confirm the enhanced CSI estimation performance of the BL-based schemes over other competing sparse signal recovery schemes.
Text
mmWave_MIMO_OTFS_twc
- Accepted Manuscript
More information
Accepted/In Press date: 21 June 2022
Published date: 1 December 2022
Additional Information:
Publisher Copyright:
© 2002-2012 IEEE.
Keywords:
Array signal processing, BCRLB, CSI estimation, Channel estimation, Estimation, MIMO communication, OFDM, OTFS, Transceivers, Wireless communication, analog beamforming, block sparsity, delay-Doppler-angular domain channel, high-Doppler, hybrid precoding, mmWave
Identifiers
Local EPrints ID: 469854
URI: http://eprints.soton.ac.uk/id/eprint/469854
ISSN: 1536-1276
PURE UUID: 02f9843d-3d83-49da-8f19-9ac2cb16f4e8
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Date deposited: 27 Sep 2022 16:39
Last modified: 18 Mar 2024 02:36
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Contributors
Author:
Suraj Srivastava
Author:
Rahul Kumar Singh
Author:
Aditya K. Jagannatham
Author:
A. Chockalingam
Author:
Lajos Hanzo
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