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A novel PAPR reduction method for hybrid beamforming transmitter
期刊论文
DIGITAL SIGNAL PROCESSING: A REVIEW JOURNAL, 2023, 卷号: 136
Authors:
Wan, Shaojun
;
Hu, Shicheng
;
Kang, Kai
;
Luo, Xiliang
;
Qian, Hua
Favorite
  |  
View/Download:23/0
  |  
Submit date:2023/03/17
Beamforming
Iterative methods
Mapping
MIMO systems
Orthogonal frequency division multiplexing
Power amplifiers
Transmitters
Digital-to-analog converters
Hybrid beamforming
Major factors
Orthogonal frequency division multiplexing systems
Orthogonal frequency-division multiplexing
Peak-to-average power ratio reductions
Peakto-average power ratios (PAPR)
Power-efficiency
Reduction method
System peaks
大规模天线系统中低复杂度混合波束成型结构的设计方法
专利
申请号:CN202211250012.0,申请日期: 2023-02-03,类型:发明申请,状态:实质审查
Inventors:
温利嫄
;
罗喜良
;
周勇
Unknown(572Kb)
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View/Download:28/0
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Submit date:2023/02/03
One-bit Downlink Precoding for Massive MIMO OFDM System
期刊论文
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2023, 页码: 1-1
Authors:
Wen, Liyuan
;
Qian, Hua
;
Hu, Yunbo
;
Deng, Zhicheng
;
Luo, Xiliang
Favorite
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View/Download:9/0
  |  
Submit date:2023/03/10
Antennas
Approximation algorithms
Convex optimization
Digital to analog conversion
MIMO systems
Orthogonal frequency division multiplexing
Power amplifiers
Radio waves
1-bit digital-to-analog converter
Digital-to-analog converters
Massive multiple-input multiple-output
Multiple inputs
Multiple outputs
Nonconvex optimization
Nonlinear precoding
Orthogonal frequency-division multiplexing
Power demands
Precoding
Radiofrequencies
Signal processing algorithms
Transmitting antenna
Joint Control of Power, Beamwidth, and Spacing for Platoon-based Vehicular Cyber-Physical Systems
期刊论文
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2022, 卷号: 71, 期号: 8, 页码: 1-1
Authors:
Zhu, Hanyu
;
Zhou, Yong
;
Luo, Xiliang
;
Zhou, Haibo
Adobe PDF(1704Kb)
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View/Download:72/0
  |  
Submit date:2022/07/25
Cyber Physical System
Deep learning
Efficiency
Embedded systems
Intelligent systems
Power control
Problem solving
Quality control
Reinforcement learning
Vehicle to vehicle communications
Vehicles
Autonomous Vehicles
Beamwidth control
Interference
Quality-of-service
Spacing control
Time-scales
Two-timescale reinforcement learning
Vehicle platooning
Vehicle-to-infrastructure
Vehicle-to-infrastructure communication
Serving Mobile Users in Intelligent Reflecting Surface Assisted Massive MIMO System
期刊论文
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2022, 卷号: 71, 期号: 6
Authors:
Hu, Yunbo
;
Kang, Kai
;
Zhu, Hongbin
;
Luo, Xiliang
;
Qian, Hua
Adobe PDF(1672Kb)
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View/Download:92/1
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Submit date:2022/04/15
Array processing
Beam forming networks
Channel state information
Communication channels (information theory)
Feedback
Matrix algebra
MIMO systems
Signal interference
Signal to noise ratio
Intelligent reflecting surface
Interference
Massive multiple-input multiple-output
Mobility adaptation
Optimisations
Prediction algorithms
Reflecting surface
Transmission line matrix methods
User equipments
无线密集网络中的低损耗多臂老虎机算法
期刊论文
中国科学院大学学报, 2022, 卷号: 39, 期号: 3, 页码: 403-409
Authors:
赵耀
;
罗喜良
Adobe PDF(527Kb)
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View/Download:59/0
  |  
Submit date:2022/12/14
在线学习
用户接入
密集网络
多臂老虎机
一比特量化输出的大规模天线系统实现方法以及系统装置
专利
申请号:CN202111453731.8,申请日期: 2022-04-12,类型:发明申请,状态:实质审查
Inventors:
温利嫄
;
罗喜良
;
朱鸿斌
;
周勇
Unknown(1198Kb)
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View/Download:91/0
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Submit date:2022/04/12
雾计算网络中计算节点的最优布局
期刊论文
中国科学院大学学报, 2022, 卷号: 39, 期号: 02, 页码: 260-266
Authors:
李炫锋
;
罗喜良
Adobe PDF(676Kb)
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View/Download:17/0
  |  
Submit date:2022/12/14
雾计算
物联网
任务卸载
计算节点布局
凸包
移动边缘计算中的在线任务卸载方法
期刊论文
中国科学院大学学报, 2022, 卷号: 39, 期号: 02, 页码: 267-274
Authors:
刘婷
;
罗喜良
Adobe PDF(669Kb)
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View/Download:22/0
  |  
Submit date:2022/12/14
移动边缘计算
任务卸载
在线学习
马尔科夫决策过程
GAN and Multi-Agent DRL Based Decentralized Traffic Light Signal Control
期刊论文
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2022, 卷号: 71, 期号: 2
Authors:
Wang, Zixin
;
Zhu, Hanyu
;
He, Mingcheng
;
Zhou, Yong
;
Luo, Xiliang
Adobe PDF(3650Kb)
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View/Download:146/0
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Submit date:2022/03/07
Generative adversarial networks
Collaboration
Real-time systems
Computational modeling
Switches
Vehicle dynamics
Reinforcement learning
Adaptive traffic light signal control
multi-agent deep reinforcement learning
generative adversarial network