
Agile Communication Architectures
University
Course
VW3
Goals
Future wireless communication devices will need to dynamically learn their environment and opportunistically exploit spectrum. The goal of this project is to integrate machine learning algorithms into communication architectures to achieve the agility required for the task. The team will participate to the DARPA Spectrum Collaboration Challenge (SC2) and test its solutions against other competitors.
Issues
Machine learning, distributed optimization and spectrum sharing.
Tools and Methods
Machine Learning
Software Defined Radios
Wireless Communications
Distributed Optimization
Networking
Desired Majors
Algorithms, Combinatorics, and Optimization
College of Computing
Computational Science and Engineering
Computer Engineering
Computer Science
Electrical Engineering
Industrial Design
Industrial Engineering