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Opportunistic Packet Recovery in LoRa Wireless Networks

Conventional wireless communication systems are typically de-signed assuming a single transmitter-receiver pair for each link.In Low-Power Wide-Area Networks (LP-WANs), this one-to-onedesign paradigm is often overly pessimistic in terms of link budget because client packets are frequently detected by multiple gateways(i.e. one-to-many). In this project, we explore the potential of using multiple receivers at the MAC and link layer where these performance gains are often neglected. We present an approach called Opportunistic Packet Recovery (OPR) that targets the most likely corrupt bits across a setof packets that suffered failed CRCs at multiple LoRa LP-WAN base-stations. We see that bit errors are often disjoint across receivers, which aids in collaborative error detection. OPR leverages this to provide increasing gain in error recovery as a function of the number of receiving gateways. Since LP-WAN networks can easily offload packet processing to the cloud, there is ample computetime per packet (order of seconds) to search for bit permutations that would restore packet integrity. Link layer corrections have the advantage of being immediately applicable to the millions of already deployed LP-WAN systems without additional hardware orexpensive RF front-ends.

MobiSys 2020

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  • May 5, 2020:
    Congrats to Akarsh, Vaibhav and Artur on two new MobiSys papers.
  • Jun 19, 2020:
    Congrats to Akshay on winning IPSN best paper!
  • Mar 20, 2020:
    Congrats to Rahul, Adwait, John, Akshay and Nick for two new IPSN papers.
  • Oct 20, 2019:
    Congrats to Elahe for winning the EECS Rising Stars workshop Research Pitch Competition!
  • Sep 26, 2019:
    Congrats to Niranjini, John, Krishna and Anh for Best Paper Runner up at IPIN on some early AR work
  • Aug 22, 2019:
    Congrats to Team Explorer for winning the first round of the DARPA SubT challenge!
  • Jun 20, 2019:
    New NSDI paper on LP-WAN
  • Apr 15, 2019:
    Two new CPS Week papers at IPSN and ICCPS.
  • Mar 28, 2018:
    Congrats to Hsu-Chieh for defending!
  • Aug 31, 2018:
    Congrats to Max for defending!
  • Jun 29, 2018:
    Congrats to Oliver for defending!
  • Apr 13, 2018:
    Congrats to Niranjini, John, Krishna and Anh for winning best demo at IPSN for their AR work.
  • Apr 12, 2018:
    Congrats to Adwait, Revathy, Akshay, Anh and Artur for winning best paper at IPSN for Charm.
  • Apr 11, 2018:
    CMU and Yodel Labs (ALPS spinout) came in first and second at the Microsoft Indoor Localization Competition.
  • Apr 10, 2018:
    Congrats to Luis for defending!
  • Apr 10, 2018:
    Three new papers at IPSN in Porto!
  • Jan 15, 2018:
    The CONIX Research Center awarded $27.5M (press release)
  • Nov 26th, 2017:
    New ARPA-E project with Endeveo on people counting
  • Aug 11, 2017: Congrats to Patrick for defending!
  • Jul 24, 2017:
    Great NPR Morning Edition segment talking about our safe cyclist project
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    New NIST project on helping Firefighters navigate in buildings.
  • May 22, 2017:
    Congrats to Adwait for winning Best Presentation at RTAS this year for his Pulsar Paper.
  • Aug 15, 2016:
    New DOE Project on HVAC Control
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    New ARPA-E GridBallast project on Load Control with NRECA
  • May 12, 2016:
    Congrats to Niranjini for winning one of this year’s Samsung Fellowships
  • Apr 10, 2016:
    Initial public release of our CMU localization data set
  • May 12, 2016:
    Congrats to Niranjini for winning one of this year’s Samsung Fellowships
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