Results 111 to 120 of about 2,907 (204)
Low-resolution phase shifter-based hybrid precoding for mmWave massive MIMO
As the demand for high-capacity and energy-efficient wireless communications grows, the exploration of cost-effective and power-optimized hybrid digital-analog beamforming techniques for millimeter-wave massive MIMO systems has gained substantial ...
Yipu Yuan +3 more
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RESEARCH ON BEAMFORMING TECHNIQUES IN 5G NETWORK
5G networks mark a significant advancement in telecommunications standards compared to 4G, offering data transmission speeds of up to 10 Gbps and are expected to be widely deployed shortly.
Hoang Van Thuc*, Doan Manh Cuong
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Hybrid analog-digital transmit beamforming for spectrum sharing backhaul networks
© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new ...
Vázquez Oliver, Miguel Ángel +2 more
core
Weighted Sumrate Maximizing Hybrid Precoder for MU-MISO-OFDM
In multi-antenna transceivers with all-digital beamforming, the number of radio frequency (RF) chains necessarily equals the number of antennas, which entails a large hardware complexity and power consumption when deploying large antenna arrays.
Sander Cornelis +2 more
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Alternating minimum mean square error hybrid beamforming algorithm in mmWave MIMO system
The two-stage hybrid beamforming architecture can solve the problem of limited number of RF chains effectively.However,it is still difficult to design a hybrid beamforming algorithm with better performance.In order to achieve higher spectral efficiency ...
Min SHEN, Hao XU, Yun HE, Pengguang ZHOU
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Low cost digital beamforming architectures are developed and comparisons are made to analog and hybrid arrays. A brief overview of these various beamforming methods is also provided considering phased array antennas.
Dagna I. Wojciak +3 more
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Analog Neural Network For Beamforming Applications
This project aimed to develop an analog neural network for beamforming applications, combining custom-designed PCB boards along with other hardware, a software-defined radio (SDR) setup, and supporting software. The system incorporates essential hardware
Dragun, Tatiana
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Learning Approaches to Beam Selection for Hybrid Analog Beamforming
This paper investigates the applicability of deep and machine learning techniques to perform beam selection in the uplink of a mmWave communication system.
Mestre, Xavier, Antón-Haro, Carles
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Small Drone Detection Using Hybrid Beamforming 24 GHz Fully Integrated CMOS Radar
This paper presents a compact 24 GHz radar with a 4-transmit (4Tx) and 4-receive (4Rx) CMOS radar IC, integrated with a 4 × 4 Tx array and four 1 × 4 receive Rx array antennas, optimized for enhancing small drone detection.
Kangjie Jin +3 more
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Hybrid Beamforming for Millimeter-Wave Heterogeneous Networks
Heterogeneous networks (HetNets) employing massive multiple-input multiple-output (MIMO) and millimeter-wave (mmWave) technologies have emerged as a promising solution to enhance the network capacity and coverage of next-generation 5G cellular networks ...
Mostafa Hefnawi
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