Author

Huseyin Arslan

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#artificial intelligence Jun 2026

Memory-Native Non-Terrestrial Networks for Embodied Intelligence

This paper proposes the memory-native NTN (Mem-NTN) paradigm that leverages long-horizon contexts for memory-augmented system optimization and establishes a dual-memory architecture that distinguishes between physical memory representing the state of the world and digital memory encoding historical network experience.

Chengyang Li, Yi-Kun Wang, Jia-Hui He et al. · IEEE Communications Standard... · 0 citations

#artificial intelligence Preprint Aug 2026

Low-Altitude Fluid Antenna Network with Multi-Agent Reinforcement Learning

This paper studies the fast and high-performance FA reconfiguration for low-altitude FA networks with multi-agent reinforcement learning (MARL) and presents an electromagnetic digital twin (EM-DT)-assisted MARL framework to fill the sim-to-real gap.

Tong Zhang, Yanan Su, Shuai Wang et al. · 0 citations