Machine learning-aided operations and communications of unmanned aerial vehicles: A contemporary survey
Over the past decade, Unmanned Aerial Vehicles (UAVs) have provided pervasive, efficient,
and cost-effective solutions for data collection and communications. Their excellent mobility …
and cost-effective solutions for data collection and communications. Their excellent mobility …
[HTML][HTML] Survey on computation offloading in UAV-Enabled mobile edge computing
With the increasing growth of internet-of-things (IoT) devices, effective computation
performance has become a critical issue. Many services provided by IoT devices (eg …
performance has become a critical issue. Many services provided by IoT devices (eg …
UAV-assisted task offloading in vehicular edge computing networks
Vehicular edge computing (VEC) provides an effective task offloading paradigm by pushing
cloud resources to the vehicular network edges, eg, road side units (RSUs). However …
cloud resources to the vehicular network edges, eg, road side units (RSUs). However …
Multi-agent deep reinforcement learning for task offloading in UAV-assisted mobile edge computing
Mobile edge computing can effectively reduce service latency and improve service quality
by offloading computation-intensive tasks to the edges of wireless networks. Due to the …
by offloading computation-intensive tasks to the edges of wireless networks. Due to the …
Multi-UAV cooperative task offloading and resource allocation in 5G advanced and beyond
In 5G advanced and beyond, latency-critical and computation-intensive applications require
more communication and computing resources. However, remote areas without available …
more communication and computing resources. However, remote areas without available …
A survey on resource management in joint communication and computing-embedded SAGIN
The advent of the 6G era aims for ubiquitous connectivity, with the integration of non-
terrestrial networks (NTN) offering extensive coverage and enhanced capacity. As …
terrestrial networks (NTN) offering extensive coverage and enhanced capacity. As …
Deep reinforcement learning based computation offloading and trajectory planning for multi-UAV cooperative target search
Unmanned aerial vehicles (UAVs) are widely used for surveillance and monitoring to
complete target search tasks. However, the short battery life and moderate computational …
complete target search tasks. However, the short battery life and moderate computational …
Evolutionary multi-objective reinforcement learning based trajectory control and task offloading in UAV-assisted mobile edge computing
This article studies the trajectory control and task offloading (TCTO) problem in an
unmanned aerial vehicle (UAV)-assisted mobile edge computing system, where a UAV flies …
unmanned aerial vehicle (UAV)-assisted mobile edge computing system, where a UAV flies …
On the design of federated learning in latency and energy constrained computation offloading operations in vehicular edge computing systems
With the advent of smart vehicles, several new latency-critical and data-intensive
applications are emerged in Vehicular Networks (VNs). Computation offloading has …
applications are emerged in Vehicular Networks (VNs). Computation offloading has …
Joint multi-UAV path planning and LoS communication for mobile-edge computing in IoT networks with RISs
This article addresses a joint path planning and communication scheduling problem for a
team of unmanned aerial vehicles (UAVs) equipped with central processing units and …
team of unmanned aerial vehicles (UAVs) equipped with central processing units and …