[HTML][HTML] Applications, evolutions, and challenges of drones in maritime transport
The widespread interest in using drones in maritime transport has rapidly grown alongside
the development of unmanned ships and drones. To stimulate growth and address the …
the development of unmanned ships and drones. To stimulate growth and address the …
Unmanned-aerial-vehicle-assisted wireless networks: Advancements, challenges, and solutions
The rapid development of communication and computing techniques enables unmanned
aerial vehicles (UAVs) to provide reliable and cost-effective wireless communication and …
aerial vehicles (UAVs) to provide reliable and cost-effective wireless communication and …
A survey on UAV-enabled edge computing: Resource management perspective
Edge computing facilitates low-latency services at the network's edge by distributing
computation, communication, and storage resources within the geographic proximity of …
computation, communication, and storage resources within the geographic proximity of …
[HTML][HTML] Deep reinforcement learning for joint trajectory planning, transmission scheduling, and access control in UAV-assisted wireless sensor networks
Unmanned aerial vehicles (UAVs) can be used to relay sensing information and
computational workloads from ground users (GUs) to a remote base station (RBS) for further …
computational workloads from ground users (GUs) to a remote base station (RBS) for further …
Incentive oriented two-tier task offloading scheme in marine edge computing networks: a hybrid stackelberg-auction game approach
With the increasing exploration of marine resources, various marine wireless devices have
been rapidly deployed for different marine applications such as marine navigation, ocean …
been rapidly deployed for different marine applications such as marine navigation, ocean …
Energy Consumption Optimization of UAV-Assisted Traffic Monitoring Scheme With Tiny Reinforcement Learning
X Kong, C Ni, G Duan, G Shen… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Unmanned Aerial Vehicles (UAVs) can capture pictures of road conditions in all directions
and from different angles by carrying high-definition cameras, which helps gather relevant …
and from different angles by carrying high-definition cameras, which helps gather relevant …
Secrecy-driven energy minimization in federated learning-assisted marine digital twin networks
Digital twin has been emerging as a promising paradigm that connects physical entities and
digital space, and continuously evolves to optimize the physical systems. In this article, we …
digital space, and continuously evolves to optimize the physical systems. In this article, we …
Enhancing AIoT Device Association With Task Offloading in Aerial MEC Networks
J Chen, P Yang, S Ren, Z Zhao… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) have emerged as a promising solution for enhancing
mobile-edge computing (MEC) networks. However, the integration of UAVs into MEC …
mobile-edge computing (MEC) networks. However, the integration of UAVs into MEC …
OFDM Receiver Design With Learning-Driven Automatic Modulation Recognition
The orthogonal frequency-division multiplexing (OFDM) is widely used in modern radio
communications because of its efficient spectrum utilization. As we know, the adaptive …
communications because of its efficient spectrum utilization. As we know, the adaptive …
Service Experience Oriented Cooperative Computing in Cache-Enabled UAVs Assisted MEC Networks
X Gao, L Zhai - IEEE Transactions on Mobile Computing, 2024 - ieeexplore.ieee.org
The unmanned aerial vehicle (UAV)-enabled multi-access edge computing (MEC)
technology is opening up new opportunities in the integrated space-air-ground in the 5 G …
technology is opening up new opportunities in the integrated space-air-ground in the 5 G …