Artificial intelligence for the metaverse: A survey
Along with the massive growth of the Internet from the 1990s until now, various innovative
technologies have been created to bring users breathtaking experiences with more virtual …
technologies have been created to bring users breathtaking experiences with more virtual …
Machine learning-based resource allocation in satellite networks supporting internet of remote things
Satellite networks have been regarded as a promising architecture for supporting the
Internet of remote things (IoRT) due to their advantages of wide coverage and high …
Internet of remote things (IoRT) due to their advantages of wide coverage and high …
Integration of D2D, network slicing, and MEC in 5G cellular networks: Survey and challenges
With the tremendous demand for connectivity anywhere and anytime, existing network
architectures should be modified. To cope with the challenges that arise due to the …
architectures should be modified. To cope with the challenges that arise due to the …
Task offloading and trajectory control for UAV-assisted mobile edge computing using deep reinforcement learning
L Zhang, ZY Zhang, L Min, C Tang, HY Zhang… - IEEE …, 2021 - ieeexplore.ieee.org
Mobile Edge Computing (MEC) has been widely employed to support various Internet of
Things (IoT) and mobile applications. By leveraging the advantages of easily deployed and …
Things (IoT) and mobile applications. By leveraging the advantages of easily deployed and …
[HTML][HTML] Survey on the state-of-the-art in device-to-device communication: A resource allocation perspective
T Islam, C Kwon - Ad Hoc Networks, 2022 - Elsevier
ABSTRACT Device to Device (D2D) communication takes advantage of the proximity
between the communicating devices in order to achieve efficient resource utilization …
between the communicating devices in order to achieve efficient resource utilization …
Game combined multi-agent reinforcement learning approach for UAV assisted offloading
Air ground integrated mobile cloud computing (MCC) provides unmanned aerial vehicles
(UAVs) the capability to act as an aerial relay with more flexibility and resilience. In the cloud …
(UAVs) the capability to act as an aerial relay with more flexibility and resilience. In the cloud …
Deep reinforcement learning empowered joint mode selection and resource allocation for RIS-aided D2D communications
L Guo, J Jia, J Chen, A Du, X Wang - Neural Computing and Applications, 2023 - Springer
Abstract Device-to-device (D2D) communication has been regarded as a promising solution
to alleviate the mobile traffic explosion problem for its capabilities of improving system data …
to alleviate the mobile traffic explosion problem for its capabilities of improving system data …
Resource allocation for UAV-aided energy harvesting-powered D2D communications: A reinforcement learning-based scheme
YH Xu, QM Sun, W Zhou, G Yu - Ad Hoc Networks, 2022 - Elsevier
Abstract Unmanned Aerial Vehicle (UAV) has become one of the most significant
component in future wireless networks since its on-demand and cost-effective deployment …
component in future wireless networks since its on-demand and cost-effective deployment …
Artificial intelligence for the metaverse: A survey
Along with the massive growth of the Internet from the 1990s until now, various innovative
technologies have been created to bring users breathtaking experiences with more virtual …
technologies have been created to bring users breathtaking experiences with more virtual …
Single-and multiagent actor–critic for initial UAV's deployment and 3-D trajectory design
M Nasr-Azadani, J Abouei… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
This article considers a wireless network consisting of unmanned aerial vehicles (UAVs),
deployed as aerial base stations, and a large number of terrestrial users randomly …
deployed as aerial base stations, and a large number of terrestrial users randomly …