Zero-Shot Generalization for Blockage Localization in mmWave Communication
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866929646086389760 |
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| author | Scaciota, Rafaela Gallage, Malith Samarakoon, Sumudu Bennis, Mehdi |
| author_facet | Scaciota, Rafaela Gallage, Malith Samarakoon, Sumudu Bennis, Mehdi |
| contents | This paper introduces a novel method for predicting blockages in millimeter-wave (mmWave) communication systems towards enabling reliable connectivity. It employs a self-supervised learning approach to label radio frequency (RF) data with the locations of blockage-causing objects extracted from light detection and ranging (LiDAR) data, which is then used to train a deep learning model that predicts object`s location only using RF data. Then, the predicted location is utilized to predict blockages, enabling adaptability without retraining when transmitter-receiver positions change. Evaluations demonstrate up to 74% accuracy in predicting blockage locations in dynamic environments, showcasing the robustness of the proposed solution. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2412_17843 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Zero-Shot Generalization for Blockage Localization in mmWave Communication Scaciota, Rafaela Gallage, Malith Samarakoon, Sumudu Bennis, Mehdi Signal Processing This paper introduces a novel method for predicting blockages in millimeter-wave (mmWave) communication systems towards enabling reliable connectivity. It employs a self-supervised learning approach to label radio frequency (RF) data with the locations of blockage-causing objects extracted from light detection and ranging (LiDAR) data, which is then used to train a deep learning model that predicts object`s location only using RF data. Then, the predicted location is utilized to predict blockages, enabling adaptability without retraining when transmitter-receiver positions change. Evaluations demonstrate up to 74% accuracy in predicting blockage locations in dynamic environments, showcasing the robustness of the proposed solution. |
| title | Zero-Shot Generalization for Blockage Localization in mmWave Communication |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2412.17843 |