Federated learning assisted deep q-learning for joint task offloading and fronthaul segment routing in open ran
A Ndikumana, KK Nguyen… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Offloading computation-intensive tasks to edge clouds has become an efficient way to
support resource constraint edge devices. However, task offloading delay is an issue largely …
support resource constraint edge devices. However, task offloading delay is an issue largely …
QoS-aware task offloading with NOMA-based resource allocation for mobile edge computing
Task offloading can scale the service capacity of IoT devices. However, IoT devices should
go through wireless networks to connect with edge computing servers. The wireless …
go through wireless networks to connect with edge computing servers. The wireless …
Deep reinforcement learning‐based joint optimization of computation offloading and resource allocation in F‐RAN
S Jo, U Kim, J Kim, C Jong, C Pak - IET communications, 2023 - Wiley Online Library
The fog radio access network (F‐RAN) has been regarded as a promising wireless access
network architecture in the fifth generation (5G) and beyond systems to satisfy the increasing …
network architecture in the fifth generation (5G) and beyond systems to satisfy the increasing …
Multi-agent deep reinforcement learning for cooperative offloading in cloud-edge computing
A Suzuki, M Kobayashi - ICC 2022-IEEE International …, 2022 - ieeexplore.ieee.org
Edge computing is a new paradigm to provide computing capability at the edges close to
end devices. A significant research challenge in edge computing is finding an efficient task …
end devices. A significant research challenge in edge computing is finding an efficient task …
[HTML][HTML] Optimizing task offloading and resource allocation in edge-cloud networks: a DRL approach
Edge-cloud computing is an emerging approach in which tasks are offloaded from mobile
devices to edge or cloud servers. However, Task offloading may result in increased energy …
devices to edge or cloud servers. However, Task offloading may result in increased energy …
A survey on deep reinforcement learning-driven task offloading in aerial access networks
Internet of Things computation offloading is a challenging problem, particularly in distant
places where mobile edge computing (MEC) or cloud infrastructure is absent. Fortunately …
places where mobile edge computing (MEC) or cloud infrastructure is absent. Fortunately …
DMRO: A deep meta reinforcement learning-based task offloading framework for edge-cloud computing
With the explosive growth of mobile data and the unprecedented demand for computing
power, resource-constrained edge devices cannot effectively meet the requirements of …
power, resource-constrained edge devices cannot effectively meet the requirements of …
Deep reinforcement learning based computation offloading and resource allocation for low-latency fog radio access networks
GMS Rahman, T Dang, M Ahmed - Intelligent and Converged …, 2020 - ieeexplore.ieee.org
Fog Radio Access Networks (F-RANs) have been considered a groundbreaking technique
to support the services of Internet of Things by leveraging edge caching and edge …
to support the services of Internet of Things by leveraging edge caching and edge …
Multi-agent deep reinforcement learning for cooperative computing offloading and route optimization in multi cloud-edge networks
A Suzuki, M Kobayashi, E Oki - IEEE Transactions on Network …, 2023 - ieeexplore.ieee.org
Edge computing is a new paradigm to provide computing capability at the edge servers
close to end devices. A significant research challenge in edge computing is finding efficient …
close to end devices. A significant research challenge in edge computing is finding efficient …
Deep reinforcement learning-based task offloading in satellite-terrestrial edge computing networks
D Zhu, H Liu, T Li, J Sun, J Liang… - 2021 IEEE Wireless …, 2021 - ieeexplore.ieee.org
In remote regions (eg, mountain and desert), cellular networks are usually sparsely
deployed or unavailable. With the appearance of new applications (eg, industrial automation …
deployed or unavailable. With the appearance of new applications (eg, industrial automation …