18-859G: Special Topics in Communications: Wireless Networks and Mobile Systems: DARPA Spectrum Grand Challenge Edition
This course provides an introduction to state-of-the-art research in wireless networks and spectrum sharing. A special emphasis will be placed on exploiting machine learning techniques to understand and share wireless resources in response to the new DARPA Grand Challenge. Topics include interference management, wireless localization and sensing, low power networks, 5-G networks and networking the Internet of Things. The course will involve reading recent research papers in each of these areas. Assignments will incorporate hurdles from the ongoing DARPA Spectrum Grand challenge (SC2) that Team CMU is actively competing in. A hands-on final project will involve spectrum-sharing contests on the live DARPA spectrum challenge testbed which is massive software-defined networking testbed being developed to support the challenge. This course will lay the foundation for CMU’s SC2 team.
About the Spectrum Sharing Challenge: The DARPA Spectrum Collaboration Challenge (SC2) is the first-of-its-kind collaborative machine-learning competition to overcome scarcity in the radio frequency (RF) spectrum. Today, spectrum is managed by dividing it into rigid, exclusively licensed bands. This human-driven process is not adaptive to the dynamics of supply and demand, and thus cannot exploit the full potential capacity of the spectrum. In SC2, competitors will reimagine a new, more efficient wireless paradigm in which radio networks autonomously collaborate to dynamically determine how the spectrum should be used moment to moment. DARPA is providing more then $3.5M in prize money. For more information see: https://spectrumcollaborationchallenge.com
Last Modified: 2018-06-05 4:20PM
- Fall 2017
- Fall 2008