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   Articles with "hybrid beamforming" as a keyword



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Downlink radio resource scheduling for OFDMA systems with hybrid beamforming

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recommendations! Published in 2022 at "Wireless Networks"

DOI: 10.1007/s11276-021-02836-3

Abstract: A base station (BS) of the fifth generation (5G) cellular system can operate in high frequency band to obtain more bandwidth. The beamforming technology is a promising technique to relieve issues when operating in high… read more here.

Keywords: hybrid beamforming; downlink radio; radio resource; resource scheduling ... See more keywords
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Antenna isolation method using sub-array structure with soft-surface for Tx/Rx separated FDD hybrid beamforming system

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recommendations! Published in 2020 at "Journal of Electromagnetic Waves and Applications"

DOI: 10.1080/09205071.2020.1848642

Abstract: The FDD method is normally used for the stability of the Tx and the Rx links in a fast-varying channel. It is required to physically separate the Tx and Rx arrays for independent Tx and… read more here.

Keywords: sub array; system; hybrid beamforming; array structure ... See more keywords
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Dimension-Deficient Channel Estimation of Hybrid Beamforming Based on Compressive Sensing

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recommendations! Published in 2019 at "IEEE Access"

DOI: 10.1109/access.2019.2894122

Abstract: Due to high hardware costs for digital beamforming, hybrid beamforming (HBF) is widely employed in millimeter-wave (mmWave) communications systems. However, the number of radio frequency chains in the analog part of HBF is far less… read more here.

Keywords: dimension deficient; hybrid beamforming; compressive sensing; channel ... See more keywords
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Multi-User Hybrid Beamforming Relying on Learning-Aided Link-Adaptation for mmWave Systems

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recommendations! Published in 2019 at "IEEE Access"

DOI: 10.1109/access.2019.2900008

Abstract: Hybrid beamforming (HBF) relying on a large antenna array is conceived for millimeter wave (mmWave) systems, where the beamforming (BF) gain compensates for the propagation loss experienced. The BF gain required for a successful transmission… read more here.

Keywords: adaptation; link adaptation; mmwave systems; hybrid beamforming ... See more keywords
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An Efficient Hybrid Beamforming Design for Massive MIMO Receive Systems via SINR Maximization Based on an Improved Bat Algorithm

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recommendations! Published in 2019 at "IEEE Access"

DOI: 10.1109/access.2019.2942350

Abstract: Hybrid analog and digital (HAD) beamforming has been recently receiving considerable deserved attention for practical implementation on the large-scale antenna systems. Compared to fully-digital beamforming, partially-connected HAD beamforming can significantly reduce the hardware cost, complexity,… read more here.

Keywords: improved bat; hybrid beamforming; efficient hybrid; bat algorithm ... See more keywords
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Near-Optimal Design for Hybrid Beamforming in mmWave Massive Multi-User MIMO Systems

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recommendations! Published in 2020 at "IEEE Access"

DOI: 10.1109/access.2020.3009238

Abstract: Millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) systems can obtain sufficient beamforming gains to combat severe path loss in signal propagation. The hybrid (analog/digital) beamforming with multiple data streams can be utilized to further improve… read more here.

Keywords: mimo systems; mmwave massive; beamforming; hybrid beamforming ... See more keywords
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Hybrid Beamforming With Deep Learning for Large-Scale Antenna Arrays

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recommendations! Published in 2021 at "IEEE Access"

DOI: 10.1109/access.2021.3069037

Abstract: The emergence of highly directional beamforming technology makes millimeter wave frequency band communication possible in future wireless communication networks. Based on the multipath characteristics of millimeter wave frequency communication, a high-precision multipath channel estimation algorithm… read more here.

Keywords: beamforming deep; communication; hybrid beamforming; large scale ... See more keywords
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Hybrid Beamforming for Sum Rate Maximization in Wideband Multi-User MIMO Relay Systems

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recommendations! Published in 2021 at "IEEE Access"

DOI: 10.1109/access.2021.3128570

Abstract: Hybrid precoding has a great potential to achieve near-optimal performance with few radio-frequency (RF) chains in comparison to the number of antennas. This paper proposes a novel hybrid beamforming solution for sum rate maximization in… read more here.

Keywords: hybrid beamforming; rate maximization; maximization; sum rate ... See more keywords
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A CNN-LSTM-Based Fusion Separation Deep Neural Network for 6G Ultra-Massive MIMO Hybrid Beamforming

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recommendations! Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2023.3266355

Abstract: In the sixth-generation (6G) cellular networks, hybrid beamforming would be a real-time optimization problem that is becoming progressively more challenging. Although numerical computation-based iterative methods such as the minimal mean square error (MMSE) and the… read more here.

Keywords: neural network; network; deep neural; cnn lstm ... See more keywords
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Deep Learning (DL)-Based Channel Prediction and Hybrid Beamforming for LEO Satellite Massive MIMO System

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recommendations! Published in 2022 at "IEEE Internet of Things Journal"

DOI: 10.1109/jiot.2022.3190412

Abstract: Low-Earth orbit (LEO) satellites are recognized as one of the most promising infrastructures for realizing global Internet of Things (IoT) services. With the explosive growth of user terminals (UTs) and data traffic, the integration of… read more here.

Keywords: deep learning; leo satellite; hybrid beamforming; csi ... See more keywords
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Robust Linear Hybrid Beamforming Designs Relying on Imperfect CSI in mmWave MIMO IoT Networks

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recommendations! Published in 2022 at "IEEE Internet of Things Journal"

DOI: 10.1109/jiot.2022.3232374

Abstract: Linear hybrid beamformer designs are conceived for the decentralized estimation of a vector parameter in a millimeter-wave (mmWave) multiple-input–multiple-output (MIMO) Internet of Things Network (IoTNe). The proposed designs incorporate both total IoTNe and individual IoT… read more here.

Keywords: beamforming designs; linear hybrid; designs relying; hybrid beamforming ... See more keywords