Abstract
The increasing demand for wireless services and the scarcity of the available electromagnetic spectrum necessitate aggressive spatial reuse of frequency bands, which makes interference the main performance-limiting factor in current and future wireless systems. Interference critically depends on the location of the concurrent transmitters, i.e., the network geometry. As a result, space is rapidly becoming the critical resource, and a key issue in the design of efficient network architectures is space management, in terms of infrastructure placement, channel access, and choice of transmission technology.
Until recently, these problems were mostly addressed using large-scale simulations, which are expensive and only provide limited insight. As a powerful alternative, we describe an analytical approach to wireless network modeling, analysis, and design based on stochastic geometry. The key idea is to model the locations of the terminals as a stochastic process and calculate distributions of the relevant network metrics over ensembles of network configurations.
We illustrate this approach using examples in cellular, heterogeneous, device-to-device, cognitive, and vehicular networks and demonstrate how it helps overcome challenges posed by the QoS and QoE demands for current and novel services in next-generation networks.
Bio
Martin Haenggi is the Frank M. Freimann Professor of Electrical Engineering and a Concurrent Professor of Applied and Computational Mathematics and Statistics at the University of Notre Dame, Indiana, USA. He received the Dipl. Ing. (M.Sc.) and the Dr. sc. techn. (Ph.D.) degrees in electrical engineering from the Swiss Federal Institute of Technology in Zurich (ETHZ) in 1995 and 1999, respectively.
He is a Fellow of the IEEE and coauthor of the monograph "Interference in Large Wireless Networks" (Foundations and Trends in Networking, 2008), the author of the textbook “Stochastic Geometry for Wireless Networks” (Cambridge, 2012) and (co)author of more than 200 articles in international journals and conferences.
He served on the Editorial Boards of the Journal of Ad Hoc Networks, the IEEE Trans. on Mobile Computing, the IEEE Journal on Selected Areas in Communications, the IEEE Trans. on Vehicular Technology, and the ACM Trans. on Sensor Networks. Currently he is the Chair of the Executive Editorial Committee of the IEEE Trans. on Wireless Communications. He was a Distinguished Lecturer and Distinguished Speaker for the IEEE Circuits and Systems and the IEEE Communication Societies and a Keynote Speaker and Tutorial Speaker at several conferences.
He received the ETH Medal for both his M.Sc. and doctoral theses, a CAREER award from the U.S. National Science Foundation in 2005, and the 2010 IEEE Communications Society Best Tutorial Paper award.