A basic problem in the design of privacy-preserving algorithms is the private maximization problem: the goal is to pick an item from a universe that (approximately) maximizes a data-dependent function, all under the constraint of differential privacy. This problem is central to many privacy-preserving algorithms for statistics and machine learning.
The 12th annual Texas Wireless Summit continues the tradition of providing a forum for industry leaders and academics to discuss emerging technologies and business models that will shape the industry over the upcoming two to three years. Co-hosted by the Austin Technology Incubator and The University of Texas at Austin’s Wireless Networking and Communications Group (WNCG), the Summit has direct access to cutting edge research and innovations from industry leaders, investors, academics, and startups.
IEEE GLOBECOM is one of two flagship conferences of the IEEE Communications Society (ComSoc), together with the IEEE ICC. Each year the conference hosts over 1,000 peer-reviewed technical papers and a cutting-edge industry program. The conference meets in North America and attracts roughly 2,000 leading scientists, researchers and industry practitioners from around the world. This year, Dr. Robert Heath and Dr.
Millimeter wave communication is coming to a wireless network near you. Because of the small antenna size and the need for array gain, array processing is important in millimeter wave communication systems. This presentation provides an overview of millimeter wave communication systems. Particular attention is paid to the ways that MIMO communication has played a role in the past and how it may play a role in the future.
This year, Professor Alexandros Dimakis with the WNCG will give the Plenary Talk at the Université de Bordeaux's Algebra, Codes and Networks Conference. For more information, visit the ACN 2014 website.
Revenue approximation results for auctions have been limited to settings in which analytically solving for equilibrium is feasible: in particular, truthful auctions or symmetric settings of non-truthful auctions. We use a price of anarchy style approach similar to the smooth mechanisms framework of Syrkganis and Tardos  to derive revenue approximation bounds in Bayes-Nash equilibrium without needing
Inter-cell interference coordination (ICIC) and intra-cell diversity (ICD) play important roles in improving cellular downlink coverage. ICIC ensures that users in nearby cells are assigned with orthogonal resource blocks (RBs). ICD transmit the same information to the users using multiple RBs and allow the user to combine different versions of the packet. While the idea behind ICIC and ICD are quite different, they share the important property of improving the user experience by assigning additional resources and thus are comparable.