64 citations · 270 across the 39 of their papers we have counts for
18 papers · 1 filter
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…
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…
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…
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…
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…
Resource Allocation Based on Deep Neural Networks for Cognitive Radio Networks
Fuhui Zhou, Xiongjian Zhang, Rose Qingyang Hu +2
Resource allocation is of great importance in the next generation wireless communication systems, especially for cognitive radio networks (CRNs). Many resource allocation strategie…
Robust Resource Allocation for MISO Cognitive Radio Networks Under Two Practical Non-Linear Energy Harvesting Models
Xiongjian Zhang, Yuhao Wang, Fuhui Zhou +2
To achieve a good tradeoff between the consumed power and the harvested power, a robust resource optimization problem is studied in a multiple-input single-output cognitive radio n…
Enhancing PHY Security of MISO NOMA SWIPT Systems With a Practical Non-Linear EH Model
Fuhui Zhou, Zheng Chu, Yongpeng Wu +2
Non-orthogonal multiple-access (NOMA) and simultaneous wireless information and power transfer (SWIPT) are promising techniques to improve spectral efficiency and energy efficiency…
Resource Allocation for Secure MISO-NOMA Cognitive Radios Relying on SWIPT
Fuhui Zhou, Zheng Chu, Haijian Sun +1
Cognitive radio (CR) and non-orthogonal multiple access (NOMA) are two promising technologies in the next generation wireless communication systems. The security of a NOMA CR netwo…
Robust Designs of Beamforming and Power Splitting for Distributed Antenna Systems with Wireless Energy Harvesting
Zhengyu Zhu, Sai Huang, Zheng Chu +3
In this paper, we investigate a multiuser distributed antenna system with simultaneous wireless information and power transmission under the assumption of imperfect channel state i…
Robust Max-Min Fairness Energy Harvesting in Secure MISO Cognitive Radio With SWIPT
Fuhui Zhou, Zan Li, Julian Cheng +2
A multiple-input single-output cognitive radio downlink network is studied with simultaneous wireless information and power transfer. In this network, a secondary user coexists wit…
Robust AN-Aided Beamforming and Power Splitting Design for Secure MISO Cognitive Radio With SWIPT
Fuhui Zhou, Zan Li, Julian Cheng +2
A multiple-input single-output cognitive radio downlink network is studied with simultaneous wireless information and power transfer. In this network, a secondary user coexists wit…