A survey of UAV-based data collection: Challenges, solutions and future perspectives
Abstract Internet of Things (IoT) generates unlimited data, which should be collected and
forwarded towards a central controller (CC) for further processing and decision-making …
forwarded towards a central controller (CC) for further processing and decision-making …
Mobile edge computing and machine learning in the internet of unmanned aerial vehicles: a survey
Unmanned Aerial Vehicles (UAVs) play an important role in the Internet of Things and form
the paradigm of the Internet of UAVs, due to their characteristics of flexibility, mobility, and …
the paradigm of the Internet of UAVs, due to their characteristics of flexibility, mobility, and …
Joint power allocation and 3D deployment for UAV-BSs: A game theory based deep reinforcement learning approach
Ultra-dense unmanned aerial vehicle (UAV) plays an important role in the field of
communications due to its flexibility and low-cost feature. Ultra-dense unnamed aerial …
communications due to its flexibility and low-cost feature. Ultra-dense unnamed aerial …
A Survey On Mean-Field Game for Dynamic Management and Control in Space-Air-Ground Network
The data traffic volume of the 6th generation (6G) mobile communication networks is huge,
and there are novel challenges in various communications services and scenarios. This …
and there are novel challenges in various communications services and scenarios. This …
NOMA for STAR-RIS Assisted UAV Networks
This paper proposes a novel simultaneously transmitting and reflecting reconfigurable
intelligent surface (STAR-RIS) assisted unmanned aerial vehicle (UAV) non-orthogonal …
intelligent surface (STAR-RIS) assisted unmanned aerial vehicle (UAV) non-orthogonal …
Secure deep reinforcement learning for dynamic resource allocation in wireless MEC networks
This paper proposes a blockchain-secured deep reinforcement learning (BC-DRL)
optimization framework for data management and resource allocation in decentralized …
optimization framework for data management and resource allocation in decentralized …
Endogenous security-aware resource management for digital twin and 6G edge intelligence integrated smart park
S Zhang, Z Yao, H Liao, Z Zhou, Y Chen… - China …, 2023 - ieeexplore.ieee.org
The integration of digital twin (DT) and 6G edge intelligence provides accurate forecasting
for distributed resources control in smart park. However, the adverse impact of model …
for distributed resources control in smart park. However, the adverse impact of model …
Joint Trajectory Design and Resource Allocation for Secure Air–Ground Integrated IoT Networks
We investigate in this article joint trajectory design and resource allocation for secure air–
ground integrated Internet of Things (IoT) networks with unmanned aerial vehicle (UAV) …
ground integrated Internet of Things (IoT) networks with unmanned aerial vehicle (UAV) …
Spectral-efficient frequency-division photonic millimeter-wave integrated sensing and communication system using improved sparse LFM sub-bands fusion
N Zhong, P Li, W Bai, W Pan, L Yan… - Journal of Lightwave …, 2023 - ieeexplore.ieee.org
Scheduling radar and communication functions in a frequency-division multiplexing (FDM)
fashion is a classic solution to achieve mutual-interference-free integrated sensing and …
fashion is a classic solution to achieve mutual-interference-free integrated sensing and …
A survey on applications of unmanned aerial vehicles using machine learning
Unmanned Aerial Vehicles (UAVs) play an important role in many applications, including
health, transport, telecommunications and safe and rescue operations. Their adoption can …
health, transport, telecommunications and safe and rescue operations. Their adoption can …