B2LoRa: Boosting LoRa Transmission for Satellite-IoT Systems with Blind Coherent Combining
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arXiv
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| Main Authors: | , , , , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866912725720891392 |
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| author | Zhao, Yimin Wang, Weibo Wang, Xiong Kong, Linghe Yu, Jiadi Zhu, Yifei Li, Shiyuan He, Chong Chen, Guihai |
| author_facet | Zhao, Yimin Wang, Weibo Wang, Xiong Kong, Linghe Yu, Jiadi Zhu, Yifei Li, Shiyuan He, Chong Chen, Guihai |
| contents | With the rapid growth of Low Earth Orbit (LEO) satellite networks, satellite-IoT systems using the LoRa technique have been increasingly deployed to provide widespread Internet services to low-power and low-cost ground devices. However, the long transmission distance and adverse environments from IoT satellites to ground devices pose a huge challenge to link reliability, as evidenced by the measurement results based on our real-world setup. In this paper, we propose a blind coherent combining design named B2LoRa to boost LoRa transmission performance. The intuition behind B2LoRa is to leverage the repeated broadcasting mechanism inherent in satellite-IoT systems to achieve coherent combining under the low-power and low-cost constraints, where each re-transmission at different times is regarded as the same packet transmitted from different antenna elements within an antenna array. Then, the problem is translated into aligning these packets at a fine granularity despite the time, frequency, and phase offsets between packets in the case of frequent packet loss. To overcome this challenge, we present three designs - joint packet sniffing, frequency shift alignment, and phase drift mitigation to deal with ultra-low SNRs and Doppler shifts featured in satellite-IoT systems, respectively. Finally, experiment results based on our real-world deployments demonstrate the high efficiency of B2LoRa. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2505_24140 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | B2LoRa: Boosting LoRa Transmission for Satellite-IoT Systems with Blind Coherent Combining Zhao, Yimin Wang, Weibo Wang, Xiong Kong, Linghe Yu, Jiadi Zhu, Yifei Li, Shiyuan He, Chong Chen, Guihai Networking and Internet Architecture Signal Processing With the rapid growth of Low Earth Orbit (LEO) satellite networks, satellite-IoT systems using the LoRa technique have been increasingly deployed to provide widespread Internet services to low-power and low-cost ground devices. However, the long transmission distance and adverse environments from IoT satellites to ground devices pose a huge challenge to link reliability, as evidenced by the measurement results based on our real-world setup. In this paper, we propose a blind coherent combining design named B2LoRa to boost LoRa transmission performance. The intuition behind B2LoRa is to leverage the repeated broadcasting mechanism inherent in satellite-IoT systems to achieve coherent combining under the low-power and low-cost constraints, where each re-transmission at different times is regarded as the same packet transmitted from different antenna elements within an antenna array. Then, the problem is translated into aligning these packets at a fine granularity despite the time, frequency, and phase offsets between packets in the case of frequent packet loss. To overcome this challenge, we present three designs - joint packet sniffing, frequency shift alignment, and phase drift mitigation to deal with ultra-low SNRs and Doppler shifts featured in satellite-IoT systems, respectively. Finally, experiment results based on our real-world deployments demonstrate the high efficiency of B2LoRa. |
| title | B2LoRa: Boosting LoRa Transmission for Satellite-IoT Systems with Blind Coherent Combining |
| topic | Networking and Internet Architecture Signal Processing |
| url | https://arxiv.org/abs/2505.24140 |