Downlink Channel Tracking for Intelligent Reflecting Surface-Aided FDD MIMO Systems

Cai, Peng; Zong, Jun; Luo, Xiliang; Zhou, Yong; Chen, Shengbo; Qian, Hua

doi:10.1109/tvt.2021.3063138

Cited by 29 publications

(21 citation statements)

References 28 publications

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“…In [78], by exploiting the quasi-static BS-IRS channel and modeling the time-variant user-IRS channel as a first-order auto-regressive process, the Kalman filter was employed to track the time variation of cascaded BS-IRS-user channel efficiently in the high-mobility scenario. Furthermore, [79] employed two Kalman filters to track the time-varying direct and cascaded channels in parallel. In [81], with the quasi-static BS-IRS channel estimated using the hierarchical beam searching algorithm, the extended Kalman filter algorithm was then applied to estimate and track the dynamic user-IRS channel efficiently.…”

Section: Signal Processing Methods For Irs Channel Estimationmentioning

confidence: 99%

“…Specifically, the authors of [75] considered an IRS-aided backscatter communication system and proposed an efficient LS-based channel estimation scheme under the SISO setup. To support the high-mobility communication aided by IRS with massive passive elements, various channel estimation protocols and schemes were developed for the SISO [76], [77], MISO [78], [79], and MIMO [80], [81] setups to track the direct/cascaded CSI efficiently.…”

Section: ) Single-user System With Single Irsmentioning

confidence: 99%

“…• Cascaded channel estimation using ON/OFF training reflection pattern at IRS [52] • Cascaded channel estimation using full-ON training reflection pattern at IRS [53] • Cascaded channel estimation based on compressed sensing by exploiting sparsity of mmWave channels [106] • Cascaded channel estimation based on deep learning techniques [65]- [68] • Cascaded channel estimation based on Kalman filter for the high-mobility case [78], [79] MIMO…”

Section: Single-irsmentioning

confidence: 99%

“…Various cases including narrowband/broadband, SISO/SIMO/MISO/MIMO, and single-/multi-user cases Training protocol • Reference-user based cascaded channel estimation [35], [85], [86] • Dual-link (BS-IRS-BS) cascaded channel estimation [71] • Anchor-aided channel estimation [72] • Double-IRS channel estimation [98], [101], [102] Multi-user/IRS case Adaptive processing • Progressive channel estimation [103], [104] • Vehicle-side IRS aided channel estimation [76], [77] • Kalman filter [78], [79], [81] Highly dynamic wireless environment…”

Section: Irs Passive Beamforming Design Under Practical Csimentioning

confidence: 99%

See 3 more Smart Citations

A Survey on Channel Estimation and Practical Passive Beamforming Design for Intelligent Reflecting Surface Aided Wireless Communications

Zheng¹,

You²,

Mei³

et al. 2021

Preprint

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Intelligent reflecting surface (IRS) has emerged as a key enabling technology to realize smart and reconfigurable radio environment for wireless communications, by digitally controlling the signal reflection via a large number of passive reflecting elements in real time. Different from conventional wireless communication techniques that only adapt to but have no or limited control over dynamic wireless channels, IRS provides a new and cost-effective means to combat the wireless channel impairments in a proactive manner. However, despite its great potential, IRS faces new and unique challenges in its efficient integration into wireless communication systems, especially its channel estimation and passive beamforming design under various practical hardware constraints. In this paper, we provide a comprehensive survey on the up-to-date research in IRS-aided wireless communications, with an emphasis on the promising solutions to tackle practical design issues. Furthermore, we discuss new and emerging IRS architectures and applications as well as their practical design problems to motivate future research.

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Section: Signal Processing Methods For Irs Channel Estimationmentioning

confidence: 99%

Section: ) Single-user System With Single Irsmentioning

confidence: 99%

Section: Single-irsmentioning

confidence: 99%

Section: Irs Passive Beamforming Design Under Practical Csimentioning

confidence: 99%

See 2 more Smart Citations

A Survey on Channel Estimation and Practical Passive Beamforming Design for Intelligent Reflecting Surface Aided Wireless Communications

Zheng¹,

You²,

Mei³

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…Note that the quasi-static model considers the worse case scenarios where the temporal correlations between blocks are not exploited. In practice, the pilot overheads can be further reduced if one exploits temporal correlations of the channel blocks [35], [36], but this is outside the scope of the paper.…”

Section: A System Model Of Mu-miso Irs Systemsmentioning

confidence: 99%

Cascaded Channel Estimation for Intelligent Reflecting Surface Assisted Multiuser MISO Systems

Guo,

Lau

2021

Preprint

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This paper investigates the uplink cascaded channel estimation for intelligent-reflecting-surface (IRS)-assisted multiuser multiple-input-single-output systems. We focus on a sub-6 GHz scenario where the channel propagation is not sparse and the number of IRS elements can be larger than the number of BS antennas. A novel channel estimation protocol without the need of on-off amplitude control to avoid the reflection power loss is proposed. In addition, the pilot overhead is substantially reduced by exploiting the common-link structure to decompose the cascaded channel coefficients by the multiplication of the common-link variables and the user-specific variables. However, these two types of variables are highly coupled, which makes them difficult to estimate. To address this issue, we formulate an optimization-based joint channel estimation problem, which only utilizes the covariance of the cascaded channel. Then, we design a low-complexity alternating optimization algorithm with efficient initialization for the non-convex optimization problem, which achieves a local optimum solution. To further enhance the estimation accuracy, we propose a new formulation to optimize the training phase shifting configuration for the proposed protocol, and then solve it using the successive convex approximation algorithm. Comprehensive simulations verify that the proposed algorithm has supreme performance compared to various stateof-the-art baseline schemes.

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Spatially correlated channel estimation for RIS‐assisted MIMO systems with correlated gaussian perturbation

Chu

Zhang

2023

IET Communications

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This paper studies the problem of spatially correlated channel estimation for reconfigurable intelligent surface (RIS)‐assisted multiple‐input multiple‐output (MIMO) systems with arbitrarily correlated Gaussian perturbation. In particular, composite RIS channel estimation is first explored based on minimum mean square error (MMSE) method, and optimal training sequence design of pilots with MSE minimization. Applying the Kronecker‐structured model, correlated composite RIS‐related channels and correlated Gaussian perturbation are then characterized. The optimal training sequence structure and spatial training power allocation conditions are derived, and the choice of the optimal training sequence length is also analyzed. Finally, numerical results are provided to assess the performance of the proposed estimate method under different training sequence structures, the optimal length of the training sequence, and information statistics. Extensive numerical results show that the proposed estimate method has supreme performance compared to state of‐the‐art baseline methods (e.g. maximum likelihood and two‐sided linear channel estimation methods).

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Downlink Channel Tracking for Intelligent Reflecting Surface-Aided FDD MIMO Systems

Cited by 29 publications

References 28 publications

A Survey on Channel Estimation and Practical Passive Beamforming Design for Intelligent Reflecting Surface Aided Wireless Communications

A Survey on Channel Estimation and Practical Passive Beamforming Design for Intelligent Reflecting Surface Aided Wireless Communications

Cascaded Channel Estimation for Intelligent Reflecting Surface Assisted Multiuser MISO Systems

Spatially correlated channel estimation for RIS‐assisted MIMO systems with correlated gaussian perturbation

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