The proliferation of orbital sensing data and the real-time demands of emerging global services are pushing low Earth orbit (LEO) satellite networks from bent-pipe relays toward intelligent onboard processing. This shift confronts a fundamental tension, where modern artificial intelligence (AI) training paradigms requi...
Zheng Lin, Zhan-Wei Wang, Yu-Xin Zhang et al.· 1 citation
Small language models (SLMs) offer a promising foundation for on-device agents through low-latency, resource-efficient inference, yet limited reasoning and planning capabilities constrain their performance on long-horizon tasks requiring multi-step interaction with the environment. Step-level collaboration between SLMs...
Zhe-Wei Fang, Yu-Xin Zhang, Zhen-Wei Shao et al.· 0 citations
The first comprehensive and in depth measurement for NB-IoT NTN over GEO reveals that as an energy-saving mechanism, Power Saving Mode fundamentally reshapes NB-IoT NTN traffic into a bursty and access-driven communication pattern and thus has a considerable influence on the end-to-end delay and energy consumption.
Xiong Wang, Yu-Ming Du, Bin Gu et al.· 0 citations
A large language model (LLM) enhanced differentiable trajectory planning framework for IoT-enabled autonomous driving is proposed and a surrounding agent centric data augmentation strategy is introduced to reorganize sur rounding agent trajectories as additional planning supervision, thereby improving the training dist...
Shihao Zhang, Jing Yang, Ziyu Song et al.· IEEE Internet of Things Jour...· 1 citation
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