Compressive Sensing for Indoor THz Channel Estimation

Schram, Viktoria; Moldovan, Anamaria; Gerstacker, Wolfgang H.

doi:10.1109/acssc.2018.8645479

Cited by 16 publications

(9 citation statements)

References 16 publications

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“…In fact, Sarieddeen et al [5] showed that the THz MIMO channel is more sparse than its mmWave counterpart. However, there are only a few recent studies, such as [22]- [24], which develop sparse recovery based CSI estimation techniques for THz MIMO systems. A brief review of these and the gaps in the existing THz literature are described next.…”

Section: A Related Work and Contributionsmentioning

confidence: 99%

Hybrid Transceiver Design for Tera-Hertz MIMO Systems Relying on Bayesian Learning Aided Sparse Channel Estimation

Srivastava

Tripathi

Varshney

et al. 2023

IEEE Trans. Wireless Commun.

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Hybrid transceiver design in multiple-input multiple-output (MIMO) Tera-Hertz (THz) systems relying on sparse channel state information (CSI) estimation techniques is conceived. To begin with, a practical MIMO channel model is developed for the THz band that incorporates its molecular absorption and reflection losses, as well as its non-line-ofsight (NLoS) rays associated with its diffused components. Subsequently, a novel CSI estimation model is derived by exploiting the angular-sparsity of the THz MIMO channel. This is followed by designing a sophisticated Bayesian learning (BL)-based approach for efficient estimation of the sparse THz MIMO channel. The Bayesian Cramer-Rao Lower Bound (BCRLB) is also determined for benchmarking the performance of the CSI estimation techniques developed. Finally, an optimal hybrid transmit precoder and receiver combiner pair is designed, which directly relies on the beamspace domain CSI estimates and only requires limited feedback. Finally, simulation results are provided for quantifying the improved mean square error (MSE), spectral-efficiency (SE) and bit-error rate (BER) performance for transmission on practical THz MIMO channel obtained from the HIgh resolution TRANsmission (HITRAN)-database.

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Section: A Related Work and Contributionsmentioning

confidence: 99%

Hybrid Transceiver Design for Tera-Hertz MIMO Systems Relying on Bayesian Learning Aided Sparse Channel Estimation

Srivastava

Tripathi

Varshney

et al. 2023

IEEE Trans. Wireless Commun.

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“…However, there are only a few recent studies, such as [10], [13], [23], which develop sparse recovery based CSI estimation techniques for THz MIMO systems. A brief review of these and the gaps in the existing THz literature are described next.…”

Section: A Related Work and Contributionsmentioning

confidence: 99%

Hybrid Transceiver Design for Tera-Hertz MIMO Systems Relying on Bayesian Learning Aided Sparse Channel Estimation

Srivastava¹,

Tripathi²,

Varshney³

et al. 2021

Preprint

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Hybrid transceiver design in multiple-input multiple-output (MIMO) Tera-Hertz (THz) systems relying on sparse channel state information (CSI) estimation techniques is conceived. To begin with, a practical MIMO channel model is developed for the THz band that incorporates its molecular absorption and reflection losses, as well as its non-line-of-sight (NLoS) rays associated with its diffused components.Subsequently, a novel CSI estimation model is derived by exploiting the angular-sparsity of the THz MIMO channel. Then an orthogonal matching pursuit (OMP)-based framework is conceived, followed by designing a sophisticated Bayesian learning (BL)-based approach for efficient estimation of the sparse THz MIMO channel. The Bayesian Cramer-Rao Lower Bound (BCRLB) is also determined for benchmarking the performance of the CSI estimation techniques developed. Finally, an optimal hybrid transmit precoder and receiver combiner pair is designed, which directly relies on the beamspace domain CSI estimates and only requires limited feedback. Finally, simulation results are provided for quantifying the improved mean square error (MSE), spectral-efficiency (SE) and bit-error rate (BER) performance for transmission on practical THz MIMO channel obtained from the HIgh resolution TRANsmission (HITRAN)-database.

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“…Here, 100 × 100 sampling points are considered and their beamforming gains are obtained. The beamforming gain de inition can be found in (11), which is the objective function of the proposed codebook design. The performance of the resulting codebook can be evaluated by the beamforming gain shown in Fig.…”

Section: Los Codebook Designmentioning

confidence: 99%

“…Then, the receiver searches for the best beam with quasi-omnidirectional transmit beam. To further accelerate the BA process, we replace the BA step at the receiver by the frequency-domain Minimum Mean-Squared Error (MMSE) equalizer design according to [10] exploiting the high SNR at the receiver after the transmit BA for channel estimation in [11]. Still, the exhaustive search at Tx may take up to several seconds with a massive transmit antenna array.…”

Section: Introductionmentioning

confidence: 99%

Hierarchical beam alignment in SU-MIMO terahertz communications

Wu¹,

Koch²,

Vossiek³

et al. 2021

ITU-J FET

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Single-Carrier Frequency Division Multiple Access (SC-FDMA) is a promising technique for high data rate indoor Terahertz (THz) communications in future beyond 5G systems. In an indoor propagation scenario, the Line-Of-Sight (LOS) component may be blocked by the obstacles. Thus, efficient THz SC-FDMA communications require a fast and reliable Beam Alignment (BA) method for both LOS and Non-Line-Of-Sight (NLOS) scenarios. In this paper, we first adopt the hierarchical discrete Fourier transform codebook for LOS BA, and introduce the hierarchical k-means codebook for NLOS BA to improve the beamforming gain. Simulation results illustrate that the hierarchical DFT codebook and the hierarchical k-means codebook can achieve the beamforming gain close to that of the maximum ratio transmission in LOS and NLOS cases, respectively. Based on these two codebooks, we propose a Multi-Armed Bandit (MAB) algorithm named Hierarchical Beam Alignment (HBA) for single-user SC-FDMA THz systems to reduce the BA latency. HBA utilizes a hierarchical structure in the adopted codebook and prior knowledge regarding the noise power to speed up the BA process. Both theoretical analysis and simulation results indicate that the proposed BA method converges to the optimal beam with high probability for both the hierarchical DFT codebook and the hierarchical k-means codebook in the LOS and NLOS scenarios, respectively. The latency introduced by HBA is significantly lower when compared to an exhaustive search method and other MAB-based methods.

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Compressive Sensing for Indoor THz Channel Estimation

Cited by 16 publications

References 16 publications

Hybrid Transceiver Design for Tera-Hertz MIMO Systems Relying on Bayesian Learning Aided Sparse Channel Estimation

Hybrid Transceiver Design for Tera-Hertz MIMO Systems Relying on Bayesian Learning Aided Sparse Channel Estimation

Hybrid Transceiver Design for Tera-Hertz MIMO Systems Relying on Bayesian Learning Aided Sparse Channel Estimation

Hierarchical beam alignment in SU-MIMO terahertz communications

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