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cs.IT2026
Joint Movement and Compression Ratio Design for Mobile Embodied AI Networks (MEAN)
Yahao Ding, Jiaxiang Wang, Zhouxiang Zhao +3
Mobile embodied AI networks (MEAN) enable embodied agents to perceive, reason, communicate, and act in wireless environments. In such networks, agent mobility can improve channel c…
cs.IT2026
Channel-Agnostic Semantic Compression for Bandwidth-Limited Visual Communication
Xuanhao Luo, Ruichen Gao, Zhizhen Li +2
Bandwidth-limited visual communication systems require efficient transmission of high-dimensional data under dynamic wireless conditions. Existing approaches either rely on joint s…