64 citations · 270 across the 39 of their papers we have counts for
13 papers · 1 filter
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…
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 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…
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…
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…
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…
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…
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…
State of the Art, Taxonomy, and Open Issues on Cognitive Radio Networks with NOMA
Fuhui Zhou, Yongpeng Wu, Ying-Chang Liang +3
The explosive growth of mobile devices and the rapid increase of wideband wireless services call for advanced communication techniques that can achieve high spectral efficiency and…
Energy-Efficient NOMA Enabled Heterogeneous Cloud Radio Access Networks
Fuhui Zhou, Yongpeng Wu, Rose Qingyang Hu +2
Heterogeneous cloud radio access networks (H-CRANs) are envisioned to be promising in the fifth generation (5G) wireless networks. H-CRANs enable users to enjoy diverse services wi…