Graph-Reinforcement-Learning-Based Task Offloading for Multiaccess Edge Computing
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2021.3123822
Abstract: Network applications involve massive heterogeneous data fusion and analysis. Artificial intelligence can significantly improve the convenience and user experience, but it requires a lot of storage, bandwidth, and computing resources. Multiaccess edge computing (MEC) extends… read more here.
Keywords: reinforcement learning; reinforcement; multiaccess edge; graph reinforcement ... See more keywords
Federated Graph Reinforcement Learning-Driven Adaptive Routing Strategy for Mega LEO Satellite Networks
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Wireless Communications Letters"
DOI: 10.1109/lwc.2025.3593508
Abstract: This letter addressed the routing selection problem in mega low Earth orbit (mLEO) satellite constellations, where the large-scale of satellite network and highly dynamic environment result in an expansive routing space and necessitate frequent adjustments… read more here.
Keywords: satellite; federated graph; routing strategy; graph reinforcement ... See more keywords