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Cyber-attacks against voltage profile in smart distribution grids with highly-dispersed pv generators: Detection and protection
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Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
In this work, we study the effect of cyber-attacks on voltage regulation in smart grids with highly dispersed photovoltaic (PV) power generators. We picture how the cyberattacks in the distribution network with the existence ...
Power budgeting of LEO satellites: An electrical power system design for 5G missions
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Although Geostationary-Equatorial-Orbit (GEO) satellites have achieved significant success in conducting space missions, they cannot meet the 5G latency requirements due to the far distance from the earth surface. Therefore, ...
A Deep Reinforcement Learning Framework for Data Compression in Uplink NOMA-SWIPT Systems
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
<comment< Non-orthogonal multiple access (NOMA) shall play an important role in the current and foreseeable design of 5G and beyond networks. NOMA allows multiple users to share the same time-frequency ...
Deep Reinforcement Learning Algorithm for Smart Data Compression under NOMA-Uplink Protocol
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Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
One of the highly promising radio access strategies for enhancing performance in the next generation cellular communications is non-orthogonal multiple access (NOMA). NOMA offers a number of advantages including better ...
Deep Learning for RF-Based Drone Detection and Identification: A Multi-Channel 1-D Convolutional Neural Networks Approach
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Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
Commercial unmanned aerial vehicles, or drones, are getting increasingly popular in the last few years. The fact that these drones are highly accessible to public may bring a range of security and technical issues to ...
VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results
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Springer Science and Business Media Deutschland GmbH
, 2020 , Conference Paper)
Crowd counting on the drone platform is an interesting topic in computer vision, which brings new challenges such as small object inference, background clutter and wide viewpoint. However, there are few algorithms focusing ...
Smart and Secure Wireless Communications via Reflecting Intelligent Surfaces: A Short Survey
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Institute of Electrical and Electronics Engineers Inc.
, 2020 , Article)
With the emergence of the Internet of Things (IoT) technology, wireless connectivity should be more ubiquitous than ever. In fact, the availability of wireless connection everywhere comes with security threats that, ...
Performance of THz Communications Over Cascaded RISs: A Practical Solution to the Over-Determined Formulation
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Institute of Electrical and Electronics Engineers Inc.
, 2022 , Article)
As a last resort for radio frequency communication, Terahertz bands (0.1-10 THz) are targeted thanks to their ability to provide ultra-wide bandwidth satisfying varieties of emerging applications. However, the waves ...
On Optimizing the Secrecy Performance of RIS-Assisted Cooperative Networks
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Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
Employing reconfigurable intelligent surfaces (RIS) is emerging as a game-changer candidate, thanks to their unique capabilities in improving the power efficiency and supporting the ubiquity of future wireless communication ...
Drone-SCNet: Scaled Cascade Network for Crowd Counting on Drone Images
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Crowd management is an essential task to ensure the safety and smoothness of any event. Using novel technologies, including surveillance cameras, drones, and the communication techniques between security agents, the control ...