AoI-minimal task assignment and trajectory optimization in multi-UAV-assisted IoT networks
C Liu, Y Guo, N Li, X Song - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
This article investigates an unmanned-aerial-vehicle (UAV)-assisted Internet of Things
system, where multiple UAVs take off from a data center (DC), collect data from multiple …
system, where multiple UAVs take off from a data center (DC), collect data from multiple …
Cross-layer resource allocation for UAV-assisted wireless caching networks with NOMA
Unmanned aerial vehicle (UAV) assisted wireless caching networks (WCN) have been
recognized as a promising way to reduce the network load and improve the energy …
recognized as a promising way to reduce the network load and improve the energy …
6G mobile network requirements and technical feasibility study
Y Huang, J Jin, M Lou, J Dong, D Wu… - China …, 2022 - ieeexplore.ieee.org
The sixth generation (6G) mobile network is envisaged to be commercially deployed around
2030, which will profoundly change people's lifestyles and accelerate the digitalization of …
2030, which will profoundly change people's lifestyles and accelerate the digitalization of …
Coverage control for UAV swarm communication networks: A distributed learning approach
Recently, unmanned aerial vehicle (UAV) swarm communication has drawn much attention
in search and rescue (SAR) missions owing to its wide wireless coverage and increasing …
in search and rescue (SAR) missions owing to its wide wireless coverage and increasing …
A Resource-Efficient Hybrid Proxy Mobile IPv6 Extension for Next-Generation IoT Networks
The future communication technologies like 6G are capable to provide higher mobility and
better quality-of-service requirements to Internet of Things (IoT). To ensure mobility, the 6G …
better quality-of-service requirements to Internet of Things (IoT). To ensure mobility, the 6G …
Dynamic computation offloading for MIMO mobile edge computing systems with energy harvesting
W Zhou, L Xing, J Xia, L Fan… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
By providing spatial diversity gain, the incorporation of multiple antennas into mobile edge
computing (MEC) systems can improve the transmission performance. Meanwhile …
computing (MEC) systems can improve the transmission performance. Meanwhile …
An adaptive deep learning-based UAV receiver design for coded MIMO with correlated noise
Z Wang, W Zhou, L Chen, F Zhou, F Zhu, L Fan - Physical Communication, 2021 - Elsevier
In this paper, we propose an adaptive deep learning-based unmanned aerial vehicle (UAV)
receiver design for coded multiple-input multiple-output (MIMO) systems, where the noise in …
receiver design for coded multiple-input multiple-output (MIMO) systems, where the noise in …
Zero trust architecture empowered attack detection framework to secure 6G edge computing
H Sedjelmaci, N Ansari - IEEE Network, 2023 - ieeexplore.ieee.org
Recent advances in edge computing and its imminent adoption in Sixth Generation (6G)
wireless networks have led to a propitious paradigm defined as 6G edge computing …
wireless networks have led to a propitious paradigm defined as 6G edge computing …
A deep learning-based intelligent receiver for improving the reliability of the MIMO wireless communication system
B Wang, K Xu, S Zheng, H Zhou… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Multiple-input–multiple-output (MIMO) technology is one of the most widely used
communication technologies. However, with the increasing number of antennas, the …
communication technologies. However, with the increasing number of antennas, the …
Performance analysis of intelligent reflecting surface-assisted wireless system with non-ideal transceiver
Intelligent Reflecting Surfaces (IRSs) have recently emerged as a promising solution for
realizing the smart radio environment concept by leveraging the characteristics of …
realizing the smart radio environment concept by leveraging the characteristics of …