AI RESEARCH
Agentic AI for Embodied-enhanced Beam Prediction in Low-Altitude Economy Networks
arXiv CS.AI
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ArXi:2603.11392v1 Announce Type: cross Millimeter-wave or terahertz communications can meet demands of low-altitude economy networks for high-throughput sensing and real-time decision making. However, high-frequency characteristics of wireless channels result in severe propagation loss and strong beam directivity, which make beam prediction challenging in highly mobile uncrewed aerial vehicles (UAV) scenarios. In this paper, we employ agentic AI to enable the transformation of mmWave base stations toward embodied intelligence.