Routing and resource allocation for iab multi-hop network in 5g advanced

H Yin, S Roy, L Cao - IEEE Transactions on Communications, 2022 - ieeexplore.ieee.org
Integrated access and backhaul (IAB) is a novel feature for extending the network coverage
in 5G cellular networks, based on sharing/efficient allocation of owner's spectrum …

Deep reinforcement learning-based resource allocation for UAV-enabled federated edge learning

T Liu, T Zhang, J Loo, Y Wang - Journal of Communications …, 2023 - ieeexplore.ieee.org
The resource allocation of the federated learning (FL) for unmanned aerial vehicle (UAV)
swarm systems are investigated. The UAV swarms based on FL realize the artificial …

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 …

A collaborative optimization strategy for computing offloading and resource allocation based on multi-agent deep reinforcement learning

Y Jiang, Y Mao, G Wu, Z Cai, Y Hao - Computers and Electrical …, 2022 - Elsevier
With the emergence of mobile edge computing (MEC), the edge cloud with certain
computing power is deployed closer to the mobile device, which can well solve the …

Computation offloading for rechargeable users in space-air-ground networks

Y Gong, H Yao, D Wu, W Yuan… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Relying on space-air-ground (SAG)-integrated artificial intelligence of everything (AIoE)
networks, massive computation-intensive and latency-sensitive tasks can be efficiently either …

[HTML][HTML] Deep reinforcement learning-based resource allocation for content distribution in IoT-edge-cloud computing environments

T Cui, R Yang, C Fang, S Yu - Symmetry, 2023 - mdpi.com
With the emergence of intelligent terminals, the Internet of Vehicles (IoV) has been drawing
great attention by taking advantage of mobile communication technologies. However, high …

A joint strategy for service deployment and task offloading in satellite–terrestrial IoT

J Sun, H Wang, L Nie, G Feng, Z Zhang, J Liu - Computer Networks, 2023 - Elsevier
In recent years, low earth orbit satellite constellations, which are an important component of
6G, have been considered as a potential solution to achieve seamless network services for …

Guest editorial: Edge intelligence for beyond 5G networks

Y Zhang, Z Feng, H Moustafa, F Ye… - IEEE Wireless …, 2021 - ieeexplore.ieee.org
Beyond fifth-generation (B5G) networks, or so-called “6G”, is the next-generation wireless
communications systems that will radically change how Society evolves. Edge intelligence is …

Dynamic sfc embedding algorithm assisted by federated learning in space-air-ground integrated network resource allocation scenario

P Zhang, Y Zhang, N Kumar… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
Traditional terrestrial wireless communication networks cannot support the requirements for
high-quality services for artificial intelligence applications such as smart cities. The space …

Multi-agent reinforcement learning for dynamic resource management in 6G in-X subnetworks

X Du, T Wang, Q Feng, C Ye, T Tao… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
The 6G network enables a subnetwork-wide evolution, resulting in a “network of
subnetworks”. However, due to the dynamic mobility of wireless subnetworks, the data …