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Joint DL and UL Channel Estimation for Millimeter Wave MIMO Systems Using Tensor Modeling
2019
Wireless Communications and Mobile Computing
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In this paper, we address the problem of joint downlink (DL) and uplink (UL) channel estimation for millimeter wave (mmWave) multiple-input multiple-output (MIMO) systems. ...
complex computations for channel estimation at the MS side as well as dedicated feedback channels for each MS, which are attractive features for massive MIMO systems. ...
Conclusion and Perspectives In this paper, we have addressed the joint DL and UL channel estimation problem for multiuser FDD massive MIMO systems with HB architecture. ...
doi:10.1155/2019/4858137
fatcat:43gyxdcezbeptnmdifojqmtlmu
Applications of Tensor Models in Wireless Communications and Mobile Computing
2020
Wireless Communications and Mobile Computing
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Gomes et al. address the problem of joint downlink (DL) and uplink (UL) channel estimation for millimeter wave (mmWave) multiple-input multiple-output (MIMO) systems and develop two tensor-based semiblind ...
of jointly estimating both the DL and UL channels as a single problem by concentrating most of the processing burden for channel estimation at the BS side, which are attractive features for massive MIMO ...
Gomes et al. address the problem of joint downlink (DL) and uplink (UL) channel estimation for millimeter wave (mmWave) multiple-input multiple-output (MIMO) systems and develop two tensor-based semiblind ...
doi:10.1155/2020/7393080
fatcat:n2hweqmp7fbajnv5kd5acqf5ke
Data-Driven Deep Learning Based Hybrid Beamforming for Aerial Massive MIMO-OFDM Systems with Implicit CSI
[article]
2022
arXiv
pre-print
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For TDD systems, the proposed DL-based approach jointly models the uplink pilot combining and downlink hybrid beamforming modules as an E2E neural network. ...
While for FDD systems, we jointly model the downlink pilot transmission, uplink CSI feedback, and downlink hybrid beamforming modules as an E2E neural network. ...
Related Works As for the channel estimation in TDD hybrid MIMO systems, the sparsity of millimeter wave (mmWave) channels in the delay or angle domain can be exploited to reduce the pilot overhead with ...
arXiv:2201.06778v3
fatcat:e46na3pa7nharn7bqdj2enym44
An Overview of Enhanced Massive MIMO with Array Signal Processing Techniques
2019
IEEE Journal on Selected Topics in Signal Processing
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2019 pre-print arXiv:1907.09944v2 fatcat:i5ddzshuqzgwph4ei2fuhp2geaOther Versions
Interestingly, parameters like AoA/AoD and multi-path delay are frequency insensitive and thus can be used to guide the down-link transmission from uplink training even for FDD systems. ...
A new trend of investigating massive MIMO, especially for the sparse scenario like millimeter wave (mmWave) transmission, is to re-build the transceiver design from array signal processing viewpoint that ...
Specifically, with the unitary ESPRIT, [75] investigated joint/separated angle/delay estimation methodologies in 3D massive MIMO millimeter wave systems. ...
doi:10.1109/jstsp.2019.2934931
fatcat:fvimd5awz5gzxo2gngidcbtora
2019 Index IEEE Wireless Communications Letters Vol. 8
2019
IEEE Wireless Communications Letters
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., +, LWC Feb. 2019 85-88 Tensor Decomposition-Aided Time-Varying Channel Estimation for Millimeter Wave MIMO Systems. ...
., +, LWC Aug. 2019 1095-1098 Tensor Decomposition-Aided Time-Varying Channel Estimation for Millimeter Wave MIMO Systems. ...
doi:10.1109/lwc.2019.2961756
fatcat:bwxehcl4ejew7a6m66prb6s4z4
Algebraic Channel Estimation Algorithms for FDD Massive MIMO systems
[article]
2019
arXiv
pre-print
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We consider downlink (DL) channel estimation for frequency division duplex based massive MIMO systems under the multipath model. ...
Our goal is to provide fast and accurate channel estimation from a small amount of DL training overhead. ...
Abstract-We consider downlink (DL) channel estimation for frequency division duplex based massive MIMO systems under the multipath model. ...
arXiv:1903.08938v1
fatcat:kyazr2l56nawnfz3pmifil3poe
Learning the CSI Denoising and Feedback Without Supervision
[article]
2021
arXiv
pre-print
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In this work, we develop a joint denoising and feedback strategy for channel state information in frequency division duplex systems. ...
To this end, we propose a novel learning-based framework for denoising and compression of channel estimates. ...
Luo, “Hybrid LISA Precoding
“Enabling FDD massive MIMO through deep learning-based channel for Multiuser Millimeter-Wave Communications,” IEEE Trans. ...
arXiv:2104.05002v3
fatcat:unztls6x2fb6pdiwy3ilhyixu4
Wideband Beamforming for RIS Assisted Near-Field Communications
[article]
2024
arXiv
pre-print
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A near-field wideband beamforming scheme is investigated for reconfigurable intelligent surface (RIS) assisted multiple-input multiple-output (MIMO) systems, in which a deep learning-based end-to-end ( ...
Furthermore, the efficient E2E beamforming models without explicit channel state information are proposed, which jointly exploits the uplink channel training module and the downlink wideband beamforming ...
Deep Learning-Based Uplink Channel Training For the design of channel estimation scheme in RIS systems, the channel estimation performance is related to the joint design of the channel estimator and the ...
arXiv:2401.11141v1
fatcat:26rbmodi6fb2tmiscf5ngpofw4
Tensor-Based Algebraic Channel Estimation for Hybrid IRS-Assisted MIMO-OFDM
2021
IEEE Transactions on Wireless Communications
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We consider the channel estimation problem in multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) systems assisted by intelligent reconfigurable surfaces (IRSs). ...
, and establish two independent subproblems of estimating the MS-to-IRS and BS-to-IRS channels. ...
Section II presents the IRS-assisted MIMO-OFDM system model and the high-frequency channel model. Section III develops the narrowband channel estimation algorithm with single training subcarrier. ...
doi:10.1109/twc.2021.3053580
fatcat:kc3o2fun2nhxxh7443eq3v3io4
CAnet: Uplink-aided Downlink Channel Acquisition in FDD Massive MIMO using Deep Learning
[article]
2021
arXiv
pre-print
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downlink pilot design, channel estimation, and feedback. ...
In frequency-division duplexing systems, the downlink channel state information (CSI) acquisition scheme leads to high training and feedback overheads. ...
A massive MIMO architecture is integral to 5G networks, especially as a key technology to utilize millimeter waves effectively [3] , [4] . ...
arXiv:2101.04377v1
fatcat:bz2pkh3yo5ckxec6kwy6xk7ida
Exploiting Partial FDD Reciprocity for Beam Based Pilot Precoding and CSI Feedback in Deep Learning
[article]
2022
arXiv
pre-print
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Massive MIMO systems can achieve high spectrum and energy efficiency in downlink (DL) based on accurate estimate of channel state information (CSI). ...
Existing works have developed learning-based DL CSI estimation that lowers uplink feedback overhead. One often overlooked problem is the limited number of DL pilots available for CSI estimation. ...
The authors would like to acknowledge Mason del Rosario for his useful discussions which helped the authors better understand of pilot placement and channel truncation. ...
arXiv:2205.14558v1
fatcat:zku5ok2d3bamleoifqcmhdjg4a
5G-Advanced Towards 6G: Past, Present, and Future
[article]
2023
arXiv
pre-print
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many new use cases, transform connectivity experiences, and serve as an essential step in developing mobile communications towards 6G. ...
This paper provides a comprehensive overview of the 3GPP 5G-Advanced development, introducing the prominent state-of-the-art technologies investigated in 3GPP and identifying key evolution directions for ...
The authors thank Sai Sree Rayala (Virginia Tech) and Nima Mohammadi (Virginia Tech) for their help in typesetting the manuscript. This ...
arXiv:2303.07456v1
fatcat:ytrkustgxrbhreyyyc3csbkv7e
Near-Field Communications: A Comprehensive Survey
[article]
2024
arXiv
pre-print
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principles, deterministic and stochastic near-field channel models are investigated for spatially-discrete (SPD) and continuous-aperture (CAP) antenna arrays. 3) Rooted in these models, existing contributions ...
, encompassing channel estimation, beamforming design, and low-complexity beam training. 5) Major issues and research opportunities associated with the integration of NFC and other emerging technologies ...
Scenarios Array Correlation Precoding Equalization Characteristics [5] [276] SU-MIMO SU-DL-MISO [161] MU-DL-MISO [176] MU-DL-MISO [277] MU-DL-MISO [171] MU-UL-MISO [169] MU-DL-MISO [162] MU-UL-MISO Closed-form ...
arXiv:2401.05900v1
fatcat:i4biro5vpvgznljtnhgk6qgnj4
2021 Index IEEE Transactions on Signal Processing Vol. 69
2021
IEEE Transactions on Signal Processing
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Departments and other items may also be covered if they have been judged to have archival value. The Author Index contains the primary entry for each item, listed under the first author's name. ...
The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, month, and inclusive pagination. ...
., +, TSP 2021 5994-6008 Tensor-Based Joint Channel Estimation and Symbol Detection for Time-Varying mmWave Massive MIMO Systems. ...
doi:10.1109/tsp.2022.3162899
fatcat:kcubj566gzb4zkj7xb5r5we3ri
2021 Index IEEE Transactions on Vehicular Technology Vol. 70
2021
IEEE Transactions on Vehicular Technology
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Departments and other items may also be covered if they have been judged to have archival value. The Author Index contains the primary entry for each item, listed under the first author's name. ...
The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, month, and inclusive pagination. ...
., +, TVT Aug. 2021 7966-7979 Wideband Channel Estimation for Millimeter Wave Beamspace MIMO. ...
doi:10.1109/tvt.2022.3151213
fatcat:vzuzqu54irebpibzp3ykgy5nca
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