Host Faculty: Professor Ramesh Karri
Applications of mixed integer optimization are in a period of rapid development due to a combination of improved modeling approaches, faster computational capabilities, and enhanced solving techniques. This enables problem modeling and solution from larger and more complex sets of alternatives which is attractive to address planning, design, and scheduling problems in the field of wireless networks. This talk discusses the utilization of mixed integer programs and solution techniques to address specific problems relevant to the design of next generation wireless networks. First, cooperative content distribution in wireless networks will be discussed for various design alternatives including optimal grouping of the mobile terminals, unicasting/multicasting communications and multihop cooperation. Second, the problem of radio network planning will be discussed including multi-technology co-siting and planning with green considerations. Optimized solutions, complexity analysis along with various polynomial time heuristic solutions will be presented and analyzed.
Lina Al-Kanj received the B.E. degree in Electrical and Communications Engineering from the Lebanese University in 2005. She received her ME and PhD degrees in Electrical and Computer Engineering from the American University of Beirut in 2007 and 2012, respectively. She was a visiting PhD student at the University of Texas at Austin in 2009-2010 and a visiting Master student at Munich University of Technology in 2006. Since July 2012, she is working as a research associate at the American University of Beirut. Her research interests include network optimization, cooperative and heterogeneous wireless networks, resource allocation, and cellular radio network planning. She is the recipient of the L’Oreal-Unesco Fellowship for distinguished women in Science in 2012.