64 citations · 270 across the 39 of their papers we have counts for
39 papers
The Far-/Near-Field Beam Squint and Solutions for THz Intelligent Reflecting Surface Communications
Wanming Hao, Xiaobei You, Fuhui Zhou +3
Terahertz (THz) and intelligent reflecting surface (IRS) have been regarded as two promising technologies to improve the capacity and coverage for future 6G networks. Generally, IR…
Min-Max Latency Optimization for IRS-aided Cell-Free Mobile Edge Computing Systems
Nana Li, Wanming Hao, Fuhui Zhou +2
Mobile-edge computing (MEC) is expected to provide low-latency computation service for wireless devices (WDs). However, when WDs are located at cell edge or communication links bet…
Ultra Wide Band THz IRS Communications: Applications, Challenges, Key Techniques, and Research Opportunities
Wanming Hao, Fuhui Zhou, Ming Zeng +2
Terahertz (THz) communication is a promising technology for future wireless networks due to its ultra-wide bandwidth. However, THz signals suffer from severe attenuation and poor d…
Unmanned Aerial Vehicle Swarm-Enabled Edge Computing: Potentials, Promising Technologies, and Challenges
Wei Wu, Fuhui Zhou, Baoyun Wang +3
Unmanned aerial vehicle (UAV) swarm enabled edge computing is envisioned to be promising in the sixth generation wireless communication networks due to their wide application senso…
Double Intelligent Reflecting Surface-assisted Multi-User MIMO mmWave Systems with Hybrid Precoding
Hehao Niu, Zheng Chu, Fuhui Zhou +3
This work investigates the effect of double intelligent reflecting surface (IRS) in improving the spectrum efficient of multi-user multiple-input multiple-output (MIMO) network ope…
Spectral and Energy Efficiency of ACO-OFDM in Visible Light Communication Systems
Shuai Ma, Ruixin Yang, Xiong Deng +5
In this paper, we study the spectral efficiency (SE) and energy efficiency (EE) of asymmetrically clipped optical orthogonal frequency division multiplexing (ACO-OFDM) for visible…
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…
Simultaneous Transmission and Reflection Reconfigurable Intelligent Surface Assisted MIMO Systems
Hehao Niu, Zheng Chu, Fuhui Zhou +2
In this work, we investigate a novel simultaneous transmission and reflection reconfigurable intelligent surface (RIS)-assisted multiple-input multiple-output downlink system, wher…
Dynamic Resource Configuration for Low-Power IoT Networks: A Multi-Objective Reinforcement Learning Method
Yang Huang, Caiyong Hao, Yijie Mao +1
Considering grant-free transmissions in low-power IoT networks with unknown time-frequency distribution of interference, we address the problem of Dynamic Resource Configuration (D…
A Unified Cognitive Learning Framework for Adapting to Dynamic Environment and Tasks
Qihui Wu, Tianchen Ruan, Fuhui Zhou +5
Many machine learning frameworks have been proposed and used in wireless communications for realizing diverse goals. However, their incapability of adapting to the dynamic wireless…
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…
Mobility-Aware Offloading and Resource Allocation in MEC-Enabled IoT Networks
Han Hu, Weiwei Song, Qun Wang +2
Mobile edge computing (MEC)-enabled Internet of Things (IoT) networks have been deemed a promising paradigm to support massive energy-constrained and computation-limited IoT device…
Energy Efficient Robust Beamforming and Cooperative Jamming Design for IRS-Assisted MISO Networks
Qun Wang, Fuhui Zhou, Rose Qingyang Hu +1
Energy-efficient design and secure communications are of crucial importance in wireless communication networks. However, the energy efficiency achieved by using physical layer secu…
Robust Trajectory and Transmit Power Optimization for Secure UAV-Enabled Cognitive Radio Networks
Yifan Zhou, Fuhui Zhou, Huilin Zhou +2
Cognitive radio is a promising technology to improve spectral efficiency. However, the secure performance of a secondary network achieved by using physical layer security technique…
Energy-Efficient Hybrid Precoding Design for Integrated Multicast-Unicast Millimeter Wave Communications with SWIPT
Wanming Hao, Gangcan Sun, Fuhui Zhou +4
In this paper, we investigate the energy-efficient hybrid precoding design for integrated multicast-unicast millimeter wave (mmWave) system, where the simultaneous wireless informa…
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…
Energy-Efficient Beamforming and Cooperative Jamming in IRS-Assisted MISO Networks
Qun Wang, Fuhui Zhou, Rose Qingyang Hu +1
The energy-efficient (EE) design problem is very important to design a good performance network. Besides this, the security of communication is also important. Based on the new IRS…
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…
Energy-Efficient Resource Allocation for Secure NOMA-Enabled Mobile Edge Computing Networks
Wei Wu, Fuhui Zhou, Rose Qingyang Hu +1
Mobile edge computing (MEC) has been envisaged as a promising technique in the next-generation wireless networks. In order to improve the security of computation tasks offloading a…
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…