Security and privacy on 6g network edge: A survey
To meet the stringent service requirements of 6G applications such as immersive cloud
eXtended Reality (XR), holographic communication, and digital twin, there is no doubt that …
eXtended Reality (XR), holographic communication, and digital twin, there is no doubt that …
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 …
Joint UAV placement optimization, resource allocation, and computation offloading for THz band: A DRL approach
H Wang, H Zhang, X Liu, K Long… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
With the development of internet of things, latency-sensitive applications such as
telemedicine are constantly emerging. Unfortunately, due to the limited computation capacity …
telemedicine are constantly emerging. Unfortunately, due to the limited computation capacity …
Budget-aware user satisfaction maximization on service provisioning in mobile edge computing
Mobile Edge Computing (MEC) promises to provide mobile users with delay-sensitive
services at the edge of network, and each user service request usually is associated with a …
services at the edge of network, and each user service request usually is associated with a …
Deep reinforcement learning for multi-hop offloading in UAV-assisted edge computing
In this article, we propose a unmanned aerial vehicle (UAV)-assisted multi-hop edge
computing (UAV-assisted MEC) system in which a UE can offload its task to multiple UAVs in …
computing (UAV-assisted MEC) system in which a UE can offload its task to multiple UAVs in …
Cache-aided MEC for IoT: Resource allocation using deep graph reinforcement learning
With the growing demand for latency-sensitive and compute-intensive services in the
Internet of Things (IoT), multiaccess edge computing (MEC)-enabled IoT is envisioned as a …
Internet of Things (IoT), multiaccess edge computing (MEC)-enabled IoT is envisioned as a …
RMDDQN-Learning: Computation Offloading Algorithm Based on Dynamic Adaptive Multi-Objective Reinforcement Learning in Internet of Vehicles
X Zhang, W Wu, Z Zhao, J Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
As a promising computing paradigm driven by 5G, mobile edge computing (MEC) empowers
smart vehicles to offload computation-intensive tasks to edge devices in the Internet of …
smart vehicles to offload computation-intensive tasks to edge devices in the Internet of …
Joint vnf parallelization and deployment in mobile edge networks
F Tian, J Liang, J Liu - IEEE Transactions on Wireless …, 2023 - ieeexplore.ieee.org
Mobile edge computing (MEC) has emerged as a promising computing paradigm that
provides flexible and responsive local services for mobile user equipment at the network …
provides flexible and responsive local services for mobile user equipment at the network …
Federated Learning: A Cutting-Edge Survey of the Latest Advancements and Applications
In the realm of machine learning (ML) systems featuring client-host connections, the
enhancement of privacy security can be effectively achieved through federated learning (FL) …
enhancement of privacy security can be effectively achieved through federated learning (FL) …
Secure and efficient uav tracking in space-air-ground integrated network
With the development of 5G and other communication techniques, the space-air-ground
integrated network (SAGIN) is regarded as a promising solution to provide wide-range, cost …
integrated network (SAGIN) is regarded as a promising solution to provide wide-range, cost …