A comprehensive overview on 5G-and-beyond networks with UAVs: From communications to sensing and intelligence

Q Wu, J Xu, Y Zeng, DWK Ng… - IEEE Journal on …, 2021 - ieeexplore.ieee.org
Due to the advancements in cellular technologies and the dense deployment of cellular
infrastructure, integrating unmanned aerial vehicles (UAVs) into the fifth-generation (5G) and …

Accessing from the sky: A tutorial on UAV communications for 5G and beyond

Y Zeng, Q Wu, R Zhang - Proceedings of the IEEE, 2019 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) have found numerous applications and are expected to
bring fertile business opportunities in the next decade. Among various enabling …

Intelligent reflecting surface enhanced wireless network: Joint active and passive beamforming design

Q Wu, R Zhang - 2018 IEEE global communications …, 2018 - ieeexplore.ieee.org
Intelligent reflecting surface (IRS) is envisioned to have abundant applications in future
wireless networks by smartly reconfiguring the signal propagation for performance …

A review on design improvements and techniques for mechanical energy harvesting using piezoelectric and electromagnetic schemes

B Maamer, A Boughamoura, AMRF El-Bab… - Energy Conversion and …, 2019 - Elsevier
Energy harvesting has gained a growing attention and has seen great advancements during
the last decades. Among energy sources, mechanical energy is one of the most investigated …

Practical non-linear energy harvesting model and resource allocation for SWIPT systems

E Boshkovska, DWK Ng, N Zlatanov… - IEEE Communications …, 2015 - ieeexplore.ieee.org
In this letter, we propose a practical non-linear energy harvesting model and design a
resource allocation algorithm for simultaneous wireless information and power transfer …

Computation efficiency maximization in wireless-powered mobile edge computing networks

F Zhou, RQ Hu - IEEE Transactions on Wireless …, 2020 - ieeexplore.ieee.org
Energy-efficient computation is an inevitable trend for mobile edge computing (MEC)
networks. Resource allocation strategies for maximizing the computation efficiency are …

UAV-supported clustered NOMA for 6G-enabled Internet of Things: Trajectory planning and resource allocation

Z Na, Y Liu, J Shi, C Liu, Z Gao - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
The sixth-generation (6G) communication requires supporting massive Internet of Things
(IoT) devices and extremely differentiated IoT applications for the air–space–ground …

Secure surveillance framework for IoT systems using probabilistic image encryption

K Muhammad, R Hamza, J Ahmad… - IEEE Transactions …, 2018 - ieeexplore.ieee.org
This paper proposes a secure surveillance framework for Internet of things (IoT) systems by
intelligent integration of video summarization and image encryption. First, an efficient video …

Robust resource allocation for MIMO wireless powered communication networks based on a non-linear EH model

E Boshkovska, DWK Ng, N Zlatanov… - IEEE Transactions …, 2017 - ieeexplore.ieee.org
In this paper, we consider a multiple-input multiple-output wireless powered communication
network, where multiple users harvest energy from a dedicated power station in order to be …

Fundamental green tradeoffs: Progresses, challenges, and impacts on 5G networks

S Zhang, Q Wu, S Xu, GY Li - IEEE Communications Surveys & …, 2016 - ieeexplore.ieee.org
With years of tremendous traffic and energy consumption growth, green radio has been
valued not only for theoretical research interests but also for the operational expenditure …