AI-Enhanced Cloud-Edge-Terminal Collaborative Network: Survey, Applications, and Future Directions
The cloud-edge-terminal collaborative network (CETCN) is considered as a novel paradigm
for emerging applications owing to its huge potential in providing low-latency and ultra …
for emerging applications owing to its huge potential in providing low-latency and ultra …
Deep Learning in the Ubiquitous Human–Computer Interactive 6G Era: Applications, Principles and Prospects
C Chen, H Zhang, J Hou, Y Zhang, H Zhang, J Dai… - Biomimetics, 2023 - mdpi.com
With the rapid development of enabling technologies like VR and AR, we human beings are
on the threshold of the ubiquitous human-centric intelligence era. 6G is believed to be an …
on the threshold of the ubiquitous human-centric intelligence era. 6G is believed to be an …
Knowledge graph aided network representation and routing algorithm for LEO satellite networks
The compelling applications of Low earth orbit (LEO) satellite networks in our daily lives
have been witnessed in recent years, ranging from weather forecasts to military monitoring …
have been witnessed in recent years, ranging from weather forecasts to military monitoring …
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 …
Computation offloading for rechargeable users in space-air-ground networks
Relying on space-air-ground (SAG)-integrated artificial intelligence of everything (AIoE)
networks, massive computation-intensive and latency-sensitive tasks can be efficiently either …
networks, massive computation-intensive and latency-sensitive tasks can be efficiently either …
Deep reinforcement learning multi-agent system for resource allocation in industrial internet of things
J Rosenberger, M Urlaub, F Rauterberg, T Lutz, A Selig… - Sensors, 2022 - mdpi.com
The high number of devices with limited computational resources as well as limited
communication resources are two characteristics of the Industrial Internet of Things (IIoT) …
communication resources are two characteristics of the Industrial Internet of Things (IIoT) …
Decentralized edge intelligence-driven network resource orchestration mechanism
With the development of artificial intelligence of things (AIoT), multi-access edge computing
(MEC) becomes a key enabler to migrate cloud services to edge clients. In comparison to …
(MEC) becomes a key enabler to migrate cloud services to edge clients. In comparison to …
Computational offloading for MEC networks with energy harvesting: a hierarchical multi-agent reinforcement learning approach
Y Sun, Q He - Electronics, 2023 - mdpi.com
Multi-access edge computing (MEC) is a novel computing paradigm that leverages nearby
MEC servers to augment the computational capabilities of users with limited computational …
MEC servers to augment the computational capabilities of users with limited computational …
Deep reinforcement learning‐based resource allocation in multi‐access edge computing
Network architects and engineers face challenges in meeting the increasing complexity and
low‐latency requirements of various services. To tackle these challenges, multi‐access …
low‐latency requirements of various services. To tackle these challenges, multi‐access …
Computation offloading and energy harvesting schemes for sum rate maximization in space-air-ground networks
The space-air-ground (SAG) integrated networks will play a major role in the sixth
generation (6G) mobile networks, which will provide global coverage, full connection and …
generation (6G) mobile networks, which will provide global coverage, full connection and …