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NSF Research at Carnegie Mellon — CNS-1218823
Machine Learning Based Algorithms for Quasi-Static Ad Hoc Wireless Networks
Networks

Project Description
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Quasi-static wireless ad-hoc networks model important present and future applications such as city-wide mesh networks, machine-to-machine networks deployed for control (such as smart grid in power systems), and certain sensor networks. (more...)
 
Professor Rohit Negi

Researchers (contact information)
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Rohit Negi (PI) - Carnegie Mellon University
Andrew Cheng - Ph.D. Student - Carnegie Mellon University
 
Tower at Night

 Publications and Presentations
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In the U.S.A. and abroad  (listing)
Software Development
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 Coming soon! (details)
 
Graduates

Curriculum Development
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The results of this project will be incorporated into the following courses:
18-752: Estimation, Detection and Identification (syllabus)
18-753: Information Theory and Coding (syllabus)
18-758: Wireless Communications (syllabus)