Home > Seminars > Minimal-Cost-Variance based Power Control for Differentiated Services Satellite Communications

Minimal-Cost-Variance based Power Control for Differentiated Services Satellite Communications


7/27/2015 at 2:00PM


7/27/2015 at 3:00PM


258 Fitzpatrick Hall


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Hai Lin

Hai Lin

VIEW FULL PROFILE Email: hlin1@nd.edu
Phone: 574-631-3177
Website: http://nd.edu/~hlin1/
Office: 265 Fitzpatrick Hall
Curriculum Vitae


College of Engineering Associate Professor
Wireless Institute Associate Professor
Dr. Lin's teaching and research interests are in the multidisciplinary study of the problems at the intersections of control, communication, computation and life sciences. His current research thrust is on cyber-physical systems, multi-robot cooperative tasking, advanced manufacturing systems, ...
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This technical seminar is primarily intended to focus on some preliminary ideas of power adjustments for differentiated services in satellite communications. Dynamic resource allocation explicitly considers the tradeoff between the cost of transmit powers and signal-to-interference-plus-noise errors. Achieving maximal system capacity and design for reliability are intertwined and mutually reinforcing goals as being incorporated into the framework of minimal-cost-variance control theory. Closely related to the continuing quest for an effective procedure of availability for satellite communications is a reliable estimation process of terminal reports in the presence of interferences and deteriorated link conditions with the hope that these findings would enable future capability concepts of resilient affordable satellite system controllers and ground terminals to achieve assured satellite communications.

Seminar Speaker:

Khanh Pham

Khanh Pham

Air Force Research Laboratory

Dr. Pham is a senior aerospace engineer at 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 Photo-Optical 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.