LoFi: Enabling 2.4GHz LoRa and WiFi Coexistence by Detecting Extremely Weak Signals
Gonglong Chen, Wei Dong, Jiamei Lv
摘要
Low-Power Wide Area Networks (LPWANs) emerges as attractive communication technologies to connect the Internet-of-Things. A new LoRa chip has been proposed to pro-vide long range and low power support on 2.4GHz. Comparing with previous LoRa radios operating on sub-gigahertz, the new one can transmit LoRa packets faster without strict channel duty cycle limitations and have attracted many attentions. Prior studies have shown that LoRa packets may suffer from severe corruptions with WiFi interference. However, there are many limitations in existing approaches such as too much signal processing overhead on weak devices or low detection accuracy. In this paper, we propose a novel weak signal detection approach, LoFi, to enable the coexistence of LoRa and WiFi. LoFi utilizes a typical physical phenomenon Stochastic Resonance (SR) to boost weak signals with a specific frequency by adding appropriate white noise. Based on the detected spectrum occupancy of LoRa signals, LoFi reserves the spectrum for LoRa transmissions. We implement LoFi on USRP N210 and conduct extensive experiments to evaluate its performance. Results show that LoFi can enable the coexistence of LoRa and WiFi in 2.4GHz. The packet reception ratio of LoRa achieves 98% over an occupied 20MHz WiFi channel, and the WiFi throughput loss is reduced by up to 13%.
问问这篇 Paper
智能体会读完全文。
Lune 把这篇 Paper 索引到了每一个公式,引用它的顶会 Paper 也一样。你提问,回答直接引用原文。
引用它的顶会 Paper1
问问它们各自怎么用它相关 Paper
- LoFi: Physical-layer CTC from LoRa to WiFi with IEEE 802.11axDemin Gao, Wenchao Jiang, Ruofeng Liu, Weizheng Wang 等INFOCOM 2025 · 被引用 8 次
- Cross-Technology Sensing: Leveraging LoRa Signals to Empower WiFi SensingBinbin Xie, Weizheng Wang, Deepak Ganesan, Lili Qiu 等MobiCom 2025 · 被引用 1 次
- Combating link dynamics for reliable lora connection in urban settingsShuai Tong, Zilin Shen, Yunhao Liu, Jiliang WangMobiCom 2021 · 被引用 59 次
- Pyramid: Real-Time LoRa Collision Decoding with Peak TrackingZhenqiang Xu, Pengjin Xie, Jiliang WangINFOCOM 2021 · 被引用 86 次
- Don't Miss Weak Packets: Boosting LoRa Reception with Antenna DiversitiesNingning Hou, Xianjin Xia, Yuanqing ZhengINFOCOM 2022 · 被引用 19 次
