Integration of Sensing, Communication, and Computing for Metaverse: A Survey

X Wang, Q Guo, Z Ning, L Guo, G Wang, X Gao… - ACM Computing …, 2024 - dl.acm.org
The metaverse is an Artificial Intelligence (AI)-generated virtual world, in which people can
game, work, learn, and socialize. The realization of metaverse not only requires a large …

LEO satellite and UAVs assisted mobile edge computing for tactical Ad-Hoc network: A game theory approach

X Lin, A Liu, C Han, X Liang, K Pan… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
As an emerging technology, mobile edge computing (MEC) network paradigm provides
great computing potential for edge services, which has been widely applied in friendly city …

UDCO-SAGiMEC: Joint UAV Deployment and Computation Offloading for Space–Air–Ground Integrated Mobile Edge Computing

Y Xu, F Deng, J Zhang - Mathematics, 2023 - mdpi.com
Computation-intensive applications offloading is challenging, especially in the designated
regions where communication infrastructure is absent or compromised. In this paper, we …

Towards Beam Hopping and Power Allocation in Multi-Beam Satellite Systems With Parameterized Reinforcement Learning

Y Ran, F Tan, S Chen, J Lei… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The simultaneous optimisation of beam hopping and power allocation is a crucial technique
for enhancing the performance of Multi-Beam Satellite (MBS) systems. However, the …

The Potential of LEO Satellites in 6G Space-Air-Ground Enabled Access Networks

Z Jia, C Dong, K Guo, Q Wu - arXiv preprint arXiv:2307.00234, 2023 - arxiv.org
Space-air-ground integrated networks (SAGINs) help enhance the service performance in
the sixth generation communication system. SAGIN is basically composed of satellites …

Joint Delay and Completion Rate Optimization for Dependent Task Offloading in Space-Air-Ground Integrated Network

Y Liu, B Li, Y Yang, J Dai, J He… - 2023 9th International …, 2023 - ieeexplore.ieee.org
In the sixth generation era, communication technologies and network architectures will need
to evolve further. The average delay and completion rate of an application are key for quality …

KS-Autoformer: An Autoformer-Based SOC Prediction Framework for Electric Vehicles

Y Wang, N Chen, L Rao, D Yang, G Fan… - … Conference on Mobile …, 2023 - Springer
Accurate state of charge prediction is essential for battery management systems, which is
crucial for improving battery utilization efficiency and ensuring safety performance. Current …

Deep Reinforcement Learning-Based Multi-node Collaborative Task Offloading Optimization in 6G Space-Air-Ground Integrated Networks

W Li, X Chen, L Jiao, W Ning, W Zhu - International Conference on Mobile …, 2023 - Springer
With the explosion of communication data volume, 6G communication has gradually entered
the vision of academia and industry. In addition, in order to support the execution of …