3 citations · 5 across the 20 of their papers we have counts for
3 papers · 1 filter
Reinforcement Learning for Opportunistic Routing in Software-Defined LEO-Terrestrial Systems
Sivaram Krishnan, Zhouyou Gu, Jihong Park +2
The proliferation of large-scale low Earth orbit (LEO) satellite constellations is driving the need for intelligent routing strategies that can effectively deliver data to terrestr…
Interference-Aware Emergent Random Access Protocol for Downlink LEO Satellite Networks
Chang-Yong Lim, Jihong Park, Jinho Choi +3
In this article, we propose a multi-agent deep reinforcement learning (MADRL) framework to train a multiple access protocol for downlink low earth orbit (LEO) satellite networks. B…
Spectrum Sharing through Marketplaces for O-RAN based Non-Terrestrial and Terrestrial Networks
Jinho Choi, Bohai Li, Bassel Al Homssi +2
Non-terrestrial networks (NTNs), including low Earth orbit (LEO) satellites, are expected to play a pivotal role in achieving global coverage for Internet-of-Things (IoT) applicati…