Fast Reflective Beamforming With Situational Awareness in IRS Assisted Communication Systems
In this paper, we investigate reflective beamforming methods for intelligent reflecting surface (IRS)-assisted communication systems. In our envisioned system, the IRS is equipped with computer vision to acquire situational awareness. Leveraging this information, we develop a gradient descent-based...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10963741/ |
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| Summary: | In this paper, we investigate reflective beamforming methods for intelligent reflecting surface (IRS)-assisted communication systems. In our envisioned system, the IRS is equipped with computer vision to acquire situational awareness. Leveraging this information, we develop a gradient descent-based reflective beam optimization method that significantly reduces beamforming overhead. Through simulations, we demonstrate that the proposed method achieves a higher achievable rate compared to existing hierarchical codebook-based beamforming methods. Furthermore, to design prediction models for situational awareness in IRS-assisted communication systems, we investigate the impact of situational awareness estimation errors on the proposed method. |
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| ISSN: | 2169-3536 |