Special Topics in Informations Sciences and Systems - Optimization of Communication Systems
Study how problems in point-to-point and networked communication systems can be formulated and solved as optimization, covering both classic results and current research. Introduce the methodologies of linear program, convex optimization, Lagrange duality, and study their theoretical properties and computational algorithms. Sample application topics: information-theoretic and queuing-theoretic problems, coding and equalization, antenna beamforming, network resource allocation and utility maximization, theory of network architecture, wireless network power control, Medium Access Control schemes, IP routing, TCP congestion control.
Sample reading list:
M. Chiang, ELE539 Lecture Notes 2004
S. Boyd and L. Vandenberghe, Convex Optimization (Cambridge University Press)
J. Proakis, Digital Communication 3rd Ed. (McGraw Hill)
D. Bertsekas and R. Gallager, Data Networks 2nd Ed. (Prentice Hall)
Not Open to Freshmen.
Students are expected to know advanced calculus and basic digital communication. However, previous exposure to optimization and networking is NOT required. There will be 1 take-home midterm exam and 1 individual final project with a wide choice of topics.
|41139||L01||11:00 am - 12:20 pm||M W||Engineering Quad J-Wing J323||Enrolled:7 Limit:30|