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Computation offloading in mobile edge computing networks: A survey
Computation offloading is one of the key technologies in Mobile Edge Computing (MEC),
which makes up for the deficiencies of mobile devices in terms of storage resource …
which makes up for the deficiencies of mobile devices in terms of storage resource …
[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 …
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 …
Multi-agent DRL for task offloading and resource allocation in multi-UAV enabled IoT edge network
The Internet of Things (IoT) edge network has connected lots of heterogeneous smart
devices, thanks to unmanned aerial vehicles (UAVs) and their groundbreaking emerging …
devices, thanks to unmanned aerial vehicles (UAVs) and their groundbreaking emerging …
Computation offloading and resource allocation in MEC-enabled integrated aerial-terrestrial vehicular networks: A reinforcement learning approach
As important services of the future sixth-generation (6G) wireless networks, vehicular
communication and mobile edge computing (MEC) have received considerable interest in …
communication and mobile edge computing (MEC) have received considerable interest in …
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 latency minimization for mobile edge computing with virtualization in maritime UAV communication network
Y Liu, J Yan, X Zhao - IEEE Transactions on Vehicular …, 2022 - ieeexplore.ieee.org
The rapid development of maritime activities has led to the emergence of more and more
computation-intensive applications. In order to meet the huge demand for wireless …
computation-intensive applications. In order to meet the huge demand for wireless …
Reinforcement learning methods for computation offloading: a systematic review
Z Zabihi, AM Eftekhari Moghadam… - ACM Computing …, 2023 - dl.acm.org
Today, cloud computation offloading may not be an appropriate solution for delay-sensitive
applications due to the long distance between end-devices and remote datacenters. In …
applications due to the long distance between end-devices and remote datacenters. In …
Blockchain-enabled task offloading with energy harvesting in multi-UAV-assisted IoT networks: A multi-agent DRL approach
Unmanned Aerial Vehicle (UAV) is a promising technology that can serve as aerial base
stations to assist Internet of Things (IoT) networks, solving various problems such as …
stations to assist Internet of Things (IoT) networks, solving various problems such as …
[HTML][HTML] A survey of applications of artificial intelligence and machine learning in future mobile networks-enabled systems
Different fields have been thriving with the advents in mobile communication systems in
recent years. These fields reap benefits of data collected by Internet of Things (IoT) in next …
recent years. These fields reap benefits of data collected by Internet of Things (IoT) in next …