Search Results - Baseband precoder AND combined

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  1. 1

    Hybrid precoding using long-term channel statistics for massive MIMO systems by Sungwoo Park, Jeonghun Park, Heath, Robert W., Yazdan, Ali

    ISSN: 2379-190X
    Published: IEEE 01.03.2017
    “… The proposed analog precoder is designed to maximize signal-to-leakage-plus-noise ratio (SLNR) when combined with a baseband precoder…”
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    Conference Proceeding
  2. 2

    Near-Optimal Hybrid Processing for Massive MIMO Systems via Matrix Decomposition by Ni, Weiheng, Dong, Xiaodai, Lu, Wu-Sheng

    ISSN: 1053-587X, 1941-0476
    Published: New York IEEE 01.08.2017
    Published in IEEE transactions on signal processing (01.08.2017)
    “…) chains of the traditional processing structure. The hybrid processing is realized through low-dimensional digital baseband processing combined with analog RF processing enabled by phase shifters…”
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    Journal Article
  3. 3

    Hybrid Multi-User Equalization and Analog Precoder for Uplink mm Wave Cell Free Systems by Kassam, J., Castanheira, D., Silva, A., Dinis, R., Gameiro, A.

    ISSN: 2577-2465
    Published: IEEE 01.06.2022
    Published in IEEE Vehicular Technology Conference (01.06.2022)
    “…In this paper, we propose a distributed hybrid analog-digital multi-user equalizer combined with an analog precoder for a wideband millimeter-wave (mmWave…”
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    Conference Proceeding
  4. 4

    Downlink performance of hybrid precoding in massive MIMO systems subject to phase noise by Yu Zhang, Dongming Wang, Xinjiang Xia, Xiaohu You

    ISSN: 2472-7628
    Published: IEEE 01.10.2017
    “… (CCMs) of sparse massive MIMO channels. Additionally, we employ a CCM aided RF precoder combined with regularized zero-forcing (RZF…”
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    Conference Proceeding
  5. 5

    Multi-layer beamforming in uplink/downlink massive MIMO Systems with multi-antenna users by Rezaei, Fatemeh, Tadaion, Aliakbar

    ISSN: 0165-1684, 1872-7557
    Published: Elsevier B.V 01.11.2019
    Published in Signal processing (01.11.2019)
    “… Then, in the baseband, each user designs its precoder maximizing its effective signal power. Finally, the received signal at the BS is digitally combined with a regularized zero-forcing (RZF) filter…”
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    Journal Article
  6. 6

    Bayesian Learning-Based Doubly-Selective Sparse Channel Estimation for Millimeter Wave Hybrid MIMO-FBMC-OQAM Systems by Srivastava, Suraj, Singh, Prem, Jagannatham, Aditya K., Karandikar, Abhay, Hanzo, Lajos

    ISSN: 0090-6778, 1558-0857
    Published: New York IEEE 01.01.2021
    Published in IEEE transactions on communications (01.01.2021)
    “… Subsequently, a Bayesian learning (BL) technique is proposed for sparse channel estimation, which relies on multiple measurement vectors combined with selective subcarrier grouping for enhanced estimation…”
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    Journal Article
  7. 7

    MmWave Multiuser MIMO Precoding With Fixed Subarrays and Quantized Phase Shifters by Deng, Junquan, Tirkkonen, Olav, Studer, Christoph

    ISSN: 0018-9545, 1939-9359
    Published: New York IEEE 01.11.2019
    Published in IEEE transactions on vehicular technology (01.11.2019)
    “… We show that for zero forcing baseband precoding, analog precoder optimization becomes an eigenvalue maximization problem, which can be approximated efficiently by received power maximization…”
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    Journal Article
  8. 8

    A Family of Practical Hybrid Precoding Algorithms for Rank-Deficient Millimeter-Wave MIMO Systems by Qi, Xiaolei, Xie, Gang, Liu, Yuanan, Zhu, Ming

    ISSN: 2169-3536, 2169-3536
    Published: Piscataway IEEE 2019
    Published in IEEE access (2019)
    “… Many efficient HP schemes based on PCS have recently been proposed, which require that the baseband precoding (BP…”
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    Journal Article
  9. 9

    Centralized Hybrid Equalization for Cell Free mMIMO mmWave based Systems by Kassam, J., Castanheira, D., Silva, A., Dinis, R., Gameiro, A.

    Published: IEEE 20.07.2022
    “… In this paper, we propose a low complexity analog precoder with a centralized hybrid analog-digital multi-user equalizer for millimeter-wave (mmWave) CF mMIMO systems…”
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    Conference Proceeding
  10. 10

    Hybrid precoding based on tensor decomposition for mmWave 3D-MIMO systems by Liu, Lu, Tian, Yafei

    Published: IEEE 01.10.2017
    “… Combined with massive number of antennas, the throughput can be greatly improved but the computation complexity and power consumption can also be incredibly high…”
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    Conference Proceeding
  11. 11

    Near-Optimal Hybrid Processing for Massive MIMO Systems via Matrix Decomposition by Ni, Weiheng, Dong, Xiaodai, Wu-Sheng, Lu

    ISSN: 2331-8422
    Published: Ithaca Cornell University Library, arXiv.org 15.04.2015
    Published in arXiv.org (15.04.2015)
    “… The hybrid processing is performed through low-dimensional digital baseband processing combined with analog RF processing enabled by phase shifters…”
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    Paper
  12. 12

    Reduced-complexity downlink cell-free mmWave Massive MIMO systems with fronthaul constraints by Femenias, Guillem, Riera-Palou, Felip

    ISSN: 2076-1465
    Published: EURASIP 01.09.2019
    “… This paper addresses the design and performance evaluation of the downlink segment of cell-free mmWave Massive MIMO system using hybrid precoders under the realistic assumption of capacity-constrained fronthaul links…”
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    Conference Proceeding
  13. 13

    Spatial Channel Covariance Estimation for the Hybrid MIMO Architecture: A Compressive Sensing-Based Approach by Park, Sungwoo, Heath, Robert W.

    ISSN: 1536-1276, 1558-2248
    Published: New York IEEE 01.12.2018
    “… Spatial channel covariance estimation, however, is challenging for the hybrid MIMO architecture because the estimator operating at baseband can only obtain a lower dimensional pre-combined signal…”
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    Journal Article
  14. 14

    Low Complexity Precoding Schemes for Massive Mimo Systems by Chen, Yulong

    Published: ProQuest Dissertations & Theses 01.01.2019
    “…In order to deal with the challenges of the exponentially growing communication traffic and spectrum bands with wider bandwidth, massive MIMO technology was…”
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    Dissertation
  15. 15

    Beamforming in mmWave MIMO Systems by Jiang, Lisi

    ISBN: 9798522971243
    Published: ProQuest Dissertations & Theses 01.01.2021
    “…Future wireless communication systems are expected to have much higher mobility and data rate. To achieve these goals, millimeter-wave (mmWave) communication…”
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    Dissertation
  16. 16

    Performance Analysis of 6G Multiuser Massive MIMO-OFDM THz Wireless Systems with Hybrid Beamforming under Intercarrier Interference by Md Saheed Ullah, Zulqarnain Bin Ashraf, Sarker, Sudipta Chandra

    ISSN: 2331-8422
    Published: Ithaca Cornell University Library, arXiv.org 22.01.2024
    Published in arXiv.org (22.01.2024)
    “…) systems, THz MIMO precoding cannot be conducted totally at baseband using digital precoders due to the restricted number of signal mixers and analog-to-digital converters that can be supported due…”
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    Paper
  17. 17

    Spatial Channel Covariance Estimation for the Hybrid MIMO Architecture: A Compressive Sensing Based Approach by Park, Sungwoo, Heath, Robert W

    ISSN: 2331-8422
    Published: Ithaca Cornell University Library, arXiv.org 11.11.2017
    Published in arXiv.org (11.11.2017)
    “… Spatial channel covariance estimation, however, is challenging for the hybrid MIMO architecture because the estimator operating at baseband can only obtain a lower dimensional pre-combined signal…”
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    Paper
  18. 18

    Improved N-continuous OFDM for 5G Wireless Communications by Peng, Wei, Lilin Dan, Xiao, Yue, Xiang, Wei, Li, Shaoqian

    ISSN: 2331-8422
    Published: Ithaca Cornell University Library, arXiv.org 19.01.2016
    Published in arXiv.org (19.01.2016)
    “…N-continuous orthogonal frequency division multiplexing (NC-OFDM) is a promising technique to obtain significant sidelobe suppression for baseband OFDM signals, in future 5G wireless communications…”
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    Paper