Results 1 to 10 of about 637 (155)

Deep Learning-Based Joint CSI Feedback and Hybrid Precoding in FDD mmWave Massive MIMO Systems [PDF]

open access: yesEntropy, 2022
In this paper, we propose an end-to-end deep learning approach to realize channel state information (CSI) feedback and hybrid precoding for millimeter wave massive multiple-input multiple-output systems in the frequency division duplexing mode. Different
Qiang Sun, Huan Zhao, Jue Wang, Wei Chen
doaj   +2 more sources

Low Complexity Hybrid Precoding and Combining for Millimeter Wave Systems

open access: yesIEEE Access, 2021
In millimeter-wave (mmWave) systems, hybrid precoding/combining architectures are an attractive low-complexity alternative to the use of fully digital precoding.
Mohamed Alouzi   +2 more
doaj   +3 more sources

Low-Complexity Hybrid Precoding for Subarray Architecture mmWave MIMO Systems

open access: yesIEEE Access, 2022
Hybrid precoding for millimeter wave (mmWave) multiple-input multiple-output (MIMO) systems has attracted much attention in recent years for subarray architecture compared to array architecture because of its low cost and low power consumption.
Faisal Al-Kamali, Claude D'amours
doaj   +3 more sources

Hybrid Precoding for Massive mmWave MIMO Systems [PDF]

open access: yesIEEE Access, 2019
Due to high costs and power consumptions, fully digital baseband precoding schemes are usually prohibitive in millimeter-wave massive MIMO systems. Therefore, hybrid precoding strategies become promising solutions.
Xianru Liu   +6 more
doaj   +2 more sources

Hybrid precoding based on matrix-adaptive method for multiuser large-scale antenna arrays. [PDF]

open access: yesPLoS ONE, 2017
Massive multiple-input multiple-output (MIMO) is envisioned to offer a considerable improvement in capacity, but it has a high cost and the radio frequency (RF) chain components have a high power consumption at high frequency.
Yongpan Feng, Suk Chan Kim
doaj   +2 more sources

Machine Learning-Based Spectrum Efficiency Hybrid Precoding With Lens Array and Low-Resolution ADCs

open access: yesIEEE Access, 2019
Hybrid precoding is an important issue in millimeter wave (mmWave) massive multi-input and multi-output (MIMO) system. Specially, energy-saving hybrid precoding architectures and efficient hybrid precoding schemes provide ideas for solving this issue. In
Lixin Li   +4 more
doaj   +3 more sources

Hybrid Precoding in Cooperative Millimeter Wave Networks [PDF]

open access: yesIEEE Transactions on Wireless Communications, 2021
In this paper, we study the performance of cooperative millimeter wave (mmWave) networks with hybrid precoding architectures. Considering joint transmissions and BS silence strategy, we propose hybrid precoding algorithms which minimize the sum power consumption of the base stations (BSs), for both fully- and partially-connected hybrid precoding (FHP ...
Chao Fang 0002   +3 more
openaire   +2 more sources

Hybrid Precoding for mmWave MIMO Systems With Overlapped Subarray Architecture

open access: yesIEEE Access, 2022
Traditional precoding is incompatible with millimetre wave (mmWave) multiple input multiple output (MIMO) systems due to hardware costs and power consumption.
Faisal Al-Kamali   +2 more
doaj   +1 more source

Hybrid Precoding for Physical Layer Multicasting [PDF]

open access: yesIEEE Communications Letters, 2016
Accepted to IEEE Commun ...
Mingbo Dai, Bruno Clerckx
openaire   +3 more sources

Hybrid precoding for mmWave massive MU-MIMO systems with overlapped subarray: A modified GLRAM approach

open access: yesICT Express, 2021
Mmillimeter-wave (mmWave) massive multiuser multiple-input multiple-output (MU-MIMO) system usually utilizes hybrid precoding to reduce complex hardware and high energy consumption.
Ting Ding, Yongjun Zhao, Lei Zhang
doaj   +1 more source

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