Agentic AI for Embodied-enhanced Beam Prediction in Low-Altitude Economy Networks
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. We inn
Record details
Published: 12 March 2026
Source: arXiv
Category: Research
Topics: Jobs & economy · Agents & autonomy
Retrieved: 14 July 2026
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ethics.ai (12 March 2026), “Agentic AI for Embodied-enhanced Beam Prediction in Low-Altitude Economy Networks,” evidence record 7352, https://ethics.ai/record/7352 (originally published by arXiv).
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