Scientific Committee: D Aldous (Berkeley), S Foss (Heriot Watt), M Franceschetti (UCSD), M Haenggi (Notre Dame), W Kendall (Warwick), PR Kumar (UIUC), R Mazumdar (Waterloo), V Poor (Princeton), V Schmidt (Ulm) and D Tse (Berkeley).
In the last decade, random graphs, percolation theory and stochastic geometry have emerged as essential tools in the analysis and the design of wireless networks such as cellular, mobile ad hoc and sensor networks. These mathematical tools have led to new insights on the connectivity, the coverage, the capacity and the vulnerability of such networks.
During this period, information theory has been successful in integrating a variety of spatial paradigms e.g. in the framework of MIMO and relay channels and in network coding, and has led to important results on the fundamental limitations of the classes of wireless communication networks alluded to above.
The aim of this trans-disciplinary workshop will be to bring together specialists in the fields of spatial stochastics, of wireless networking and information theory, and will focus on the interplay between these disciplines.