Simultaneous wireless information and power transfer (SWIPT): Recent advances and future challenges

TDP Perera, DNK Jayakody, SK Sharma… - … Surveys & Tutorials, 2017 - ieeexplore.ieee.org
Initial efforts on wireless power transfer (WPT) have concentrated toward long-distance
transmission and high power applications. Nonetheless, the lower achievable transmission …

Wireless charging technologies: Fundamentals, standards, and network applications

X Lu, P Wang, D Niyato, DI Kim… - … surveys & tutorials, 2015 - ieeexplore.ieee.org
Wireless charging is a technology of transmitting power through an air gap to electrical
devices for the purpose of energy replenishment. The recent progress in wireless charging …

[PDF][PDF] Semi-Supervised Learning with Generative Adversarial Networks on Digital Signal Modulation Classification.

Y Tu, Y Lin, J Wang, JU Kim - Computers, Materials & Continua, 2018 - cdn.techscience.cn
Deep Learning (DL) is such a powerful tool that we have seen tremendous success in areas
such as Computer Vision, Speech Recognition, and Natural Language Processing. Since …

Caching UAV assisted secure transmission in hyper-dense networks based on interference alignment

N Zhao, F Cheng, FR Yu, J Tang… - IEEE Transactions …, 2018 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) can help small-cell base stations (SBSs) offload traffic via
wireless backhaul to improve coverage and increase rate. However, the capacity of …

Digital signal modulation classification with data augmentation using generative adversarial nets in cognitive radio networks

B Tang, Y Tu, Z Zhang, Y Lin - IEEE Access, 2018 - ieeexplore.ieee.org
Automated modulation classification plays a very important part in cognitive radio networks.
Deep learning is also a powerful tool that we could not overlook its potential in addressing …

Interference alignment and its applications: A survey, research issues, and challenges

N Zhao, FR Yu, M Jin, Q Yan… - … Surveys & Tutorials, 2016 - ieeexplore.ieee.org
The capacity of interference network is a fundamental issue that eludes the researchers for
decades. Interference alignment (IA) is an emerging interference management technique …

5G-based green broadband communication system design with simultaneous wireless information and power transfer

X Liu, X Zhang, M Jia, L Fan, W Lu, X Zhai - Physical Communication, 2018 - Elsevier
In 5G communications, the increasing demand for high data rate and ubiquitous services
has led to a large energy consumption in both transmitter and receiver. Wireless power …

Adaptive power allocation schemes for spectrum sharing in interference-alignment-based cognitive radio networks

N Zhao, FR Yu, H Sun, M Li - IEEE transactions on vehicular …, 2015 - ieeexplore.ieee.org
Interference alignment (IA) is a promising technique for interference management and can
be applied to spectrum sharing in cognitive radio (CR) networks. However, the sum rate may …

Optimal resource allocation in simultaneous cooperative spectrum sensing and energy harvesting for multichannel cognitive radio

X Liu, F Li, Z Na - IEEE Access, 2017 - ieeexplore.ieee.org
In this paper, a simultaneous cooperative spectrum sensing and energy harvesting model is
proposed to improve the transmission performance of the multichannel cognitive radio. The …

Exploiting interference for energy harvesting: A survey, research issues, and challenges

N Zhao, S Zhang, FR Yu, Y Chen, A Nallanathan… - IEEE …, 2017 - ieeexplore.ieee.org
Interference is one of the fundamental aspects that makes wireless communication
challenging, which has attracted great research attention for decades. To solve this …