Full-Duplex Underlay Satellite Communications: A Resilient System

The Department of Electrical Engineering and Computer Science presents
Full-Duplex Underlay Satellite Communications:
A Resilient System Controller Paradigm for Fun and Profit
Khanh Pham
Air Force Research Laboratory
Date: February 26
Time: 2:00pm
Location: Scullen Room, Pangborn Hall
This technical seminar is primarily intended to begin to bridge the theoretical systems control with real-world
applications; e.g., full-duplex underlay satellite communications in fundamental ways. Special emphasis will be
given to the principles of forward and return links in today’s satellite communication industry. With respect to
the underlay spectrum sharing policy, it is suggested that Quality-of-Service of Secondary Users would need a
radically different perspective to control of transmit powers of each transmitter and receiver pairs. The socalled cost-variance, discrete-time control theory provides an elegant way to analyze the behavior of Signal-toInterference-Plus-Noise Ratio (SINR)-based tracking dynamical systems. It is rooted on the optimization of
cost variances while subject to cost mean constraints to infer state-feedback control laws. Another theme of
the seminar is to present the current state of understanding of Primary-User Protection in various related
concepts, including constraint condition updates and hybrid half-duplex and full-duplex operations. The talk
highlights open problems and extending existing results to high-capacity assured communications.
Speaker Bio:
Dr. Pham is a senior aerospace engineer in the Space Vehicles Directorate within the Air Force Research Lab.
He is a senior member of Institute of Electrical and Electronics Engineers (IEEE), a Fellow of Society of PhotoOptical and Instrumentation Engineers (SPIE), and an Associate Fellow of American Institute of Aeronautics
and Astronautics (AIAA). His research interests include statistical optimal control; decision analysis of
adversarial systems; fault-tolerant control; dynamic game decision optimization; security of cyber-physical
systems; satellite cognitive radios; and control and coordination of large-scale dynamical systems.