Seminar @ Cornell Tech: Igor Kadota
Wireless Networks for Emerging Time-Sensitive Applications: Theory and Systems
Emerging applications, such as autonomous vehicles and smart factories, increasingly rely on sharing time-sensitive information for monitoring and control. In such application domains, it is essential to keep information fresh, as outdated information loses its value and can lead to system failures and safety2/10/22 risks. The Age-of-Information (AoI) is a recently proposed performance metric that captures the freshness of the information from the perspective of the destination. In this talk, we consider a wireless network with a destination receiving time-sensitive information from a number of sources through unreliable communication links. We formulate a discrete-time decision problem to find a transmission scheduling policy that optimizes the AoI in the network. First, we derive a lower bound on the achievable AoI performance. Then, we develop three low-complexity scheduling policies with performance guarantees: a randomized policy, a Max-Weight policy and a Whittle’s Index policy. Leveraging our theoretical results, we propose WiFresh: a simple yet unconventional architecture that achieves near optimal information freshness in wireless networks of any size, even when the network is overloaded. To demonstrate the impact of WiFresh in real operating scenarios, we implement and validate our architecture using a Software Defined Radio testbed. Our experimental results show that WiFresh can improve information freshness by two orders of magnitude when compared to an equivalent standard WiFi network.
Igor Kadota received the B.S. degree in electronic engineering from the Technological Institute of Aeronautics (ITA), Brazil, in 2010, the S.M. degree in communication networks from the Massachusetts Institute of Technology (MIT) in 2016, and the Ph.D. degree from the Laboratory for Information and Decision Systems (LIDS) at MIT in 2020. He is currently a Postdoctoral Research Scientist in the Department of Electrical Engineering at Columbia University. His research is on modeling, analysis, optimization, and implementation of next-generation communication networks, with the emphasis on wireless networks and time-sensitive data.
Igor was a recipient of several awards, including the Best Paper Award at IEEE INFOCOM 2018, the Best Paper Award Finalist at ACM MobiHoc 2019, the MIT School of Engineering Graduate Student Extraordinary Teaching and Mentoring Award of 2020, and the 2019-2020 Thomas G. Stockham Jr. Fellowship. For additional information, please refer to: http://www.igorkadota.com