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Parallel Decoding of LoRa

  1. Qian Chen and Jiliang Wang (Tsinghua University). AlignTrack: Push the Limit of LoRa Collision Decoding, ICNP 2021.

  2. Xianjin Xia, Ningning Hou, Yuanqing Zheng, and Tao Gu. PCube: Scaling LoRa Concurrent Transmissions with Reception Diversities, ACM MobiCom, 2021.

  3. Muhammad Osama Shahid, Millan Philipose, Krishna Chintalapudi, Suman Banerjee, and Bhuvana Krishnaswamy. Concurrent Interference Cancellation : Decoding Multi-Packet Collisions in LoRa, ACM SIGCOMM, 2021.

  4. S. Tong, Z. Xu and J. Wang. CoLoRa: Enabling Multi-Packet Reception in LoRa, IEEE INFOCOM, 2020.

  5. Xianjin Xia, Yuanqing Zheng, and Tao Gu. FTrack: Parallel Decoding for LoRa Transmissions, ACM SenSys, 2019.

  6. Rashad Eletreby, Diana Zhang, Swarun Kumar, and Osman Yağan. Empowering Low-Power Wide Area Networks in Urban Settings, ACM SIGCOMM, 2017.

Others

  1. Zehua Sun, Tao Ni, Huanqi Yang, Kai Liu, Yu Zhang, Tao Gu, Weitao Xu. FLoRa: Energy-Efficient, Reliable, and Beamforming-Assisted Over-The-Air Firmware Update in LoRa Networks, IPSN 2023.

  2. Raghav Subbaraman, Yeswanth Guntupalli, Shruti Jain, Rohit Kumar, Krishna Chintalapudi, Dinesh Bharadia. BSMA: scalable LoRa networks using full duplex gateways, MobiCom 2022.