Chang Liu (Ph.D. Student) & Randy Berry Presented with Best Paper Award at 14th International Symposium on Modeling and Optimization in Mobile, Ad Hoc & Wireless Networks; Berry Co-organizes RAWNET Workshop
Their winning paper was titled, "The Impact of Investment Timing and Uncertainty on Competition in Unlicensed Spectrum.”
Chang Liu, a fourth year PhD candidate in EECS, and her Adviser Prof. Randall Berry, won the Best Paper Award at the 14th International Symposium on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks (WiOpt) held at Arizona State University in Tempe, Arizona on May 9-13, 2016. Their winning paper was titled, "The Impact of Investment Timing and Uncertainty on Competition in Unlicensed Spectrum.”
As part of the Symposium, Prof. Berry and Prof. Peter Marbach from the University of Toronto jointly organized the 2016 Workshop on Resource Allocation, Cooperation and Competition in Wireless Networks (RAWNET). This one-day workshop, held on May 9 addressed resource management in emerging wireless networking technologies and applications.
The workshop focused on resource management in emerging wireless networking technologies and applications. Approaches to resource management across the protocol layers will be considered, ranging from physical layer to application layer issues. Of particular interest are resource allocation mechanisms for wireless network that allow for the efficient allocation of network resources, the dissemination and location of information, and distributed computation. The applications can stem from any wireless scenario, such as multi-cell networks, cognitive radio networks, or ad hoc networks and in existing or novel networking architectures, such as node-centric networking, information-centric networking or delay-tolerant networks.
This symposium intended to bring together researchers and practitioners working on modeling and optimization of wireless network design and operations. It welcomes original, highquality works on different perspectives, including performance analysis and simulation, algorithms and protocol design, optimization theory and application, information theoretic analysis including capacity scaling, for all forms of wireless networks: cellular, metropolitan, ad hoc, delay-tolerant, mesh, sensor networks as well as any combination of these.