Active Learning and Optimization for Next Generation Communication Networks 🗓

–, beam alignment in mmWave communications; data-driven and empirical optimization for wireless network parameter tuning

Meeting
Santa Ana Map

IEEE Orange County Communications Society and Signal Processing Society (ComSig) Chapter
register
Meeting Date: June 24, 2019
Time: 6:00 PM Networking; 6:30PM Food; 7:15 PM Presentation
Speaker: Prof. Tara Javidi, ECE Dpt. UC San Diego
Location: Santa Ana,
Cost: First 10 early-birds (first-come-first-serve) are free! After that, $20 for non-members with dinner, $10 for IEEE members with dinner, $5 for student-members with dinner, free for presentation only
RSVP: requested, through website
Event Details: Event

Summary: Network management and configuration is an essential attribute of any wireless network with reliable self-tuning capabilities. In contrast to the past generations of networking solutions, on the other hand, in the ever-increasingly mobile and large-scale networks of tomorrow the network reconfiguration overhead may not be insignificant; this includes the initial beam alignment, link maintenance, spectrum sensing, packet resizing, etc. Our work aims to provide fundamental limits on the overhead associated with learning, network tuning, and optimization of network parameters. Our approach relies on the theory of active learning and optimization to quantify the networking overhead and utilizes recent data analytic and machine learning algorithms to develop practical learning/optimization algorithms.

In the first part of the talk, we consider the problem of search and optimization of the directional link establishment and maintenance (beam alignment) in mmWave communications. In the second part of the talk, we consider an important variant of the search problem: data-driven and empirical optimization for wireless network parameter tuning.

For more information on current and future events, please visit Orange County ComSig chapter website at: http://comsig.chapters.comsoc.org

Bio: Tara Javidi received her BS in electrical engineering at Sharif University of Technology, Tehran, Iran. She received her MS degrees in electrical engineering (systems) and in applied mathematics (stochastic analysis) from the University of Michigan, Ann Arbor, in 1998 and 1999, respectively. She received her Ph.D. in electrical engineering and computer science from the University of Michigan, Ann Arbor, in 2002.
From 2002 to 2004, Tara Javidi was an assistant professor at the Electrical Engineering Department, University of Washington, Seattle. In 2005, she joined the University of California, San Diego, where she is currently a professor of electrical and computer engineering. In 2013-2014, she spent her sabbatical at Stanford University as a visiting faculty. At the University of California, San Diego, Tara Javidi is a founding co-director of the Center for Machine-Integrated Computing and Security, directs the Advanced Networking Science Lab and is a faculty member of the Centers of Information Theory and Applications (ITA), Wireless Communications (CWC), and Networked Systems (CNS). She is a founding faculty member of HALICIOĞLU DATA SCIENCE INSTITUTE (HDSI) at UCSD. At UCSD, she is an affiliate faculty member in the departments of Computer Science and Engineering as well as Ethnic Studies. She is also a member of Board of Governors of the IEEE Information Theory Society (2017/18/19).