Entropy Normalization SAC-Based Task Offloading for UAV-Assisted Mobile Edge Computing

T Deng, Y Wang, J Li, R Cao, Y Gu, J Hu… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
With the advantages of maneuverability and low cost, Unmanned Aerial Vehicles (UAVs) are
widely deployed in mobile edge computing as micro servers to provide computing service …

LEO Satellite Networks Assisted Geo-distributed Data Processing

Z Zhao, Z Chen, Z Lin, W Zhu, K Qiu, C You… - arXiv preprint arXiv …, 2024 - arxiv.org
Nowadays, the increasing deployment of edge clouds globally provides users with low-
latency services. However, connecting an edge cloud to a core cloud via optic cables in …

Cost-Efficient Computation Offloading in SAGIN: A Deep Reinforcement Learning and Perception-Aided Approach

Y Gao, Z Ye, H Yu - arXiv preprint arXiv:2407.05571, 2024 - arxiv.org
The Space-Air-Ground Integrated Network (SAGIN), crucial to the advancement of sixth-
generation (6G) technology, plays a key role in ensuring universal connectivity, particularly …

Energy-Efficient Probabilistic Semantic Communication over Space-Air-Ground Integrated Networks

Z Zhao, Z Yang, M Chen, Z Zhang, W Xu… - arXiv preprint arXiv …, 2024 - arxiv.org
Space-air-ground integrated networks (SAGINs) are emerging as a pivotal element in the
evolution of future wireless networks. Despite their potential, the joint design of …

Robust Communication and Computation using Deep Learning via Joint Uncertainty Injection

RJ Reifert, H Dahrouj, AA Ahmad, H Gacanin… - arXiv preprint arXiv …, 2024 - arxiv.org
The convergence of communication and computation, along with the integration of machine
learning and artificial intelligence, stand as key empowering pillars for the sixth-generation …