B2LoRa: Boosting LoRa Transmission for Satellite-IoT Systems with Blind Coherent Combining
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.
Authors
- Xiong Wang (ORCID: https://orcid.org/0009-0009-2318-1637)
- Chong He (ORCID: https://orcid.org/0000-0002-9796-5532)
- Linghe Kong (ORCID: https://orcid.org/0000-0001-9266-3044)
- Jiadi Yu
- Yifei Zhu
- Guihai Chen (ORCID: https://orcid.org/0000-0002-6934-1685)
- Shiyuan Li (ORCID: https://orcid.org/0009-0008-8976-3835)
- Weibo Wang (ORCID: https://orcid.org/0000-0002-4420-385X)
- Yimin Zhao (ORCID: https://orcid.org/0009-0000-2543-1358)
Institutions
- University of Science and Technology of China (CN)
- Shanghai Jiao Tong University (CN)
Publication Details
- Published
- 2025-11-03
- DOI
- https://doi.org/10.1145/3680207.3723463
- Primary Topic
- IoT Networks and Protocols
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China