1,039 research outputs found
Environment Semantic Aided Communication: A Real World Demonstration for Beam Prediction
Millimeter-wave (mmWave) and terahertz (THz) communication systems adopt
large antenna arrays to ensure adequate receive signal power. However,
adjusting the narrow beams of these antenna arrays typically incurs high beam
training overhead that scales with the number of antennas. Recently proposed
vision-aided beam prediction solutions, which utilize \textit{raw RGB images}
captured at the basestation to predict the optimal beams, have shown initial
promising results. However, they still have a considerable computational
complexity, limiting their adoption in the real world. To address these
challenges, this paper focuses on developing and comparing various approaches
that extract lightweight semantic information from the visual data. The results
show that the proposed solutions can significantly decrease the computational
requirements while achieving similar beam prediction accuracy compared to the
previously proposed vision-aided solutions.Comment: Based on the DeepSense dataset https://deepsense6g.net/. arXiv admin
note: text overlap with arXiv:2205.1218
- …