Satellite edge computing with collaborative computation offloading: An intelligent deep deterministic policy gradient approach
Enabling a satellite network with edge computing capabilities can complement the
advantages further of a single terrestrial network and provide users with a full range of …
advantages further of a single terrestrial network and provide users with a full range of …
Cooperative multi-agent deep reinforcement learning for computation offloading in digital twin satellite edge networks
With the development of commercial off-the-shelf hardware, low Earth orbit (LEO) satellites
are promising to provide flexible edge computing services. In this paper, we investigate a …
are promising to provide flexible edge computing services. In this paper, we investigate a …
Dynamic computation offloading in satellite edge computing
Satellite edge computing (SEC) has become a promising technology for future wireless
networks to provide anywhere and anytime computing services. Different from terrestrial …
networks to provide anywhere and anytime computing services. Different from terrestrial …
Cooperative task offloading for mobile edge computing based on multi-agent deep reinforcement learning
J Yang, Q Yuan, S Chen, H He… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Driven by the prevalence of the computation-intensive and delay-intensive mobile
applications, Mobile Edge Computing (MEC) is emerging as a promising solution …
applications, Mobile Edge Computing (MEC) is emerging as a promising solution …
Energy-efficient computation peer offloading in satellite edge computing networks
Recently, MEC has been integrated with satellite networks to process remote terrestrial
computation tasks with superior coverage and delay. Since single satellite computation is …
computation tasks with superior coverage and delay. Since single satellite computation is …
Stochastic computation offloading for LEO satellite edge computing networks: A learning-based approach
The deployment of mobile edge computing services in LEO satellite networks achieves
seamless coverage of computing services. However, the time-varying wireless channel …
seamless coverage of computing services. However, the time-varying wireless channel …
A game-theoretic approach to computation offloading in satellite edge computing
Y Wang, J Yang, X Guo, Z Qu - IEEE Access, 2019 - ieeexplore.ieee.org
Mobile edge computing (MEC) is proposed as a new paradigm to meet the ever-increasing
computation requirements, which is caused by the rapid growth of the Internet of Things (IoT) …
computation requirements, which is caused by the rapid growth of the Internet of Things (IoT) …
Deep reinforcement learning based joint edge resource management in maritime network
Due to the rapid development of the maritime networks, there has been a growing demand
for computation-intensive applications which have various energy consumption …
for computation-intensive applications which have various energy consumption …
Joint multi-task offloading and resource allocation for mobile edge computing systems in satellite IoT
For multi-task mobile edge computing (MEC) systems in satellite Internet of Things (IoT),
there are dependencies between different tasks, which need to be collected and jointly …
there are dependencies between different tasks, which need to be collected and jointly …
Energy-efficient space–air–ground integrated edge computing for internet of remote things: A federated DRL approach
Y Liu, L Jiang, Q Qi, S Xie - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
Space–air–ground integrated edge computing is expecting to provide pervasive
computation services for Internet of Things (IoT), especially in remote areas. However, the …
computation services for Internet of Things (IoT), especially in remote areas. However, the …