10 papers
Duality-Guided Graph Learning for Real-Time Joint Connectivity and Routing in LEO Mega-Constellations
Zhouyou Gu, Jinho Choi, Tony Q. S. Quek +1
Laser inter-satellite links (LISLs) of low Earth orbit (LEO) mega-constellations enable high-capacity backbone connectivity in non-terrestrial networks, but their management is cha…
Context-Aware Iterative Token Detection and Masked Transmission for Wireless Token Communication
Junyong Shin, Joohyuk Park, Jihong Park +2
The success of large-scale language models has established tokens as compact and meaningful units for natural-language representation, which motivates token communication over wire…
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…
Learning Time-Varying Graph Signals via Koopman
Sivaram Krishnan, Jinho Choi, Jihong Park
A wide variety of real-world data, such as sea measurements, e.g., temperatures collected by distributed sensors and multiple unmanned aerial vehicles (UAV) trajectories, can be na…
Koopman-based Prediction of Connectivity for Flying Ad Hoc Networks
Sivaram Krishnan, Jinho Choi, Jihong Park +2
The application of machine learning (ML) to communication systems is expected to play a pivotal role in future artificial intelligence (AI)-based next-generation wireless networks.…
Low-Complexity Semantic Packet Aggregation for Token Communication via Lookahead Search
Seunghun Lee, Jihong Park, Jinho Choi +1
Tokens are fundamental processing units of generative AI (GenAI) and large language models (LLMs), and token communication (TC) is essential for enabling remote AI-generate content…