OTFS Transceiver Design and Sparse Doubly-Selective CSI Estimation in Analog and Hybrid Beamforming Aided mmWave MIMO Systems

نویسندگان

چکیده

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 designed for both analog beamforming (AB) and hybrid (HB), where we commence by deriving the delay-Doppler (DD)-domain input-output relationship considering a delay-Doppler-angular domain channel model. Subsequently, novel two-stage procedure is developed transmit beamformer (TBF)/ precoder (TPC) receiver combiner (RC) design, estimating DD-domain’s equivalent state information (CSI). The key feature proposed framework that RF TBF/ TPC RC design maximizes directional gains. It also demonstrated low-dimensional baseband CSI DD-domain becomes sparse mmWave-AB OTFS systems, block-sparse mmWave-HB systems. Bayesian learning (BL) BL (BS-BL) solutions improved estimation. We derive Cramer-Rao lower bounds (BCRLB) benchmarking mean-squared-error (MSE) estimates. Finally, our simulation results demonstrate efficacy transceiver designs confirm enhanced estimation performance BL-based schemes over other competing signal recovery schemes.

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ژورنال

عنوان ژورنال: IEEE Transactions on Wireless Communications

سال: 2022

ISSN: ['1536-1276', '1558-2248']

DOI: https://doi.org/10.1109/twc.2022.3188040