64 citations · 270 across the 39 of their papers we have counts for
15 papers · 1 filter
Automatic Modulation Classification Using Involution Enabled Residual Networks
Hao Zhang, Lu Yuan, Guangyu Wu +2
Automatic modulation classification (AMC) is of crucial importance for realizing wireless intelligence communications. Many deep learning based models especially convolution neural…
A Novel Automatic Modulation Classification Scheme Based on Multi-Scale Networks
Hao Zhang, Fuhui Zhou, Qihui Wu +2
Automatic modulation classification enables intelligent communications and it is of crucial importance in today's and future wireless communication networks. Although many automati…
A Unified Framework for IRS Enabled Wireless Powered Sensor Networks
Zheng Chu, Zhengyu Zhu, Miao Zhang +4
This paper unveils the importance of intelligent reflecting surface (IRS) in a wireless powered sensor network (WPSN). Specifically, a multi-antenna power station (PS) employs ener…
Computation Efficiency Maximization in Wireless-Powered Mobile Edge Computing Networks
Fuhui Zhou, Rose Qingyang Hu
Energy-efficient computation is an inevitable trend for mobile edge computing (MEC) networks. Resource allocation strategies for maximizing the computation efficiency are criticall…
FFDNet-Based Channel Estimation for Massive MIMO Visible Light Communication Systems
Zhipeng Gao, Yuhao Wang, Xiaodong Liu +2
Channel estimation is of crucial importance in massive multiple-input multiple-output (m-MIMO) visible light communication (VLC) systems. In order to tackle this problem, a fast an…
Subcarrier Assignment Schemes Based on Q-Learning in Wideband Cognitive Radio Networks
Yuan Zhou, Fuhui Zhou, Yongpeng Wu +2
Subcarrier assignment is of crucial importance in wideband cognitive radio (CR) networks. In order to tackle the challenge that the traditional optimization-based methods are inapp…
Computation Efficiency Maximization in OFDMA-Based Mobile Edge Computing Networks
Yuhang Wu, Yuhao Wang, Fuhui Zhou +1
Computation-efficient resource allocation strategies are of crucial importance in mobile edge computing networks. However, few works have focused on this issue. In this letter, wei…
Mobile Edge Computing in Unmanned Aerial Vehicle Networks
Fuhui Zhou, Rose Qingyang Hu, Zan Li +1
Unmanned aerial vehicle (UAV)-enabled communication networks are promising in the fifth and beyond wireless communication systems. In this paper, we shed light on three UAV-enabled…
Performance Analysis on Visible Light Communications With Multi-Eavesdroppers and Practical Amplitude Constraint
Xiaodong Liu, Yuhao Wang, Fuhui Zhou +2
In this paper the secure performance for the visible light communication (VLC) system with multiple eavesdroppers is studied. By considering the practical amplitude constraint inst…
Resource Allocation for a Wireless Powered Integrated Radar and Communication System
Yifan Zhou, Huilin Zhou, Fuhui Zhou +2
The integrated radar and communication system is promising in the next generation wireless communication networks. However, its performance is confined by the limited energy. In or…
Computation Rate Maximization in UAV-Enabled Wireless Powered Mobile-Edge Computing Systems
Fuhui Zhou, Yongpeng Wu, Rose Qingyang Hu +1
Mobile edge computing (MEC) and wireless power transfer (WPT) are two promising techniques to enhance the computation capability and to prolong the operational time of low-power wi…
Robust Beamforming Design in a NOMA Cognitive Radio Network Relying on SWIPT
Haijian Sun, Fuhui Zhou, Rose Qingyang Hu +1
This paper studies a multiple-input single-output non-orthogonal multiple access cognitive radio network relying on simultaneous wireless information and power transfer. A realisti…
Artificial Noise Aided Secure Cognitive Beamforming for Cooperative MISO-NOMA Using SWIPT
Fuhui Zhou, Zheng Chu, Haijian Sun +2
Cognitive radio (CR) and non-orthogonal multiple access (NOMA) have been deemed two promising technologies due to their potential to achieve high spectral efficiency and massive co…
UAV-Enabled Mobile Edge Computing: Offloading Optimization and Trajectory Design
Fuhui Zhou, Yongpeng Wu, Haijian Sun +1
With the emergence of diverse mobile applications (such as augmented reality), the quality of experience of mobile users is greatly limited by their computation capacity and finite…
An Improved and More Accurate Expression for a PDF Related to Eigenvalue-Based Spectrum Sensing
Fuhui Zhou, Norman C. Beaulieu
Cooperative spectrum sensing based on the limiting eigenvalue ratio of the covariance matrix offers superior detection performance and overcomes the noise uncertainty problem. Whil…