25 April 2018Time: 2:00 - 3:00pm
Venue: Room: B.R: 4.01 (Bancroft Road), Mile End Campus, QMUL 10, Godward Square, Queen Mary University of London, Mile End Rd, London E1 4FZ
CSR group seminar will be given by Deniz Gunduz. He is a Reader in Information Theory and Communications in the Dept. Electrical and Electronic Engineering at Imperial College London.
Title: Contents on the Move: Content Caching and Delivery at the Wireless Network Edge
Caching has been successfully exploited in the Internet for many years through content distribution networks. With the growing number of wireless users and their increasing appetite for high rate content, particularly video streaming applications, caching is now moving towards the wireless network edge, where popular contents are stored either at access points, or directly at user devices. Caching at the network edge reduces both the latency of content delivery and the traffic on the backhaul links, and increases spatial reuse, practically turning relatively abundant and cheap cache memories into extremely valuable and scarce wireless bandwidth. In this talk I will present some of our recent contributions to wireless content caching and delivery, including coded content delivery to heterogenous devices (e.g., mobiles phones, tablets, laptops), coded delivery over noisy channels (e.g. broadcast and interference channels), and proactive wireless caching of dynamic content.
Deniz Gunduz received his Ph.D. degree in electrical engineering from NYU School of Engineering- Polytechnic Institute in 2007. He then served as a postdoctoral research associate at Princeton University, as a consulting assistant professor at Stanford University, and as a researcher at CTTC, Spain. Currently he is a Reader in Information Theory and Communications in the Electrical and Electronic Engineering Department of Imperial College London, and leads the Information Processing and Communications Lab. He is an Editor of the IEEE Transactions on Communications, and IEEE Transactions on Green Communications and Networking. He is serving as the General Co-chair of the 2018 Workshop on Promises and Challenges of Machine Learning in Communication Networks, and the 2018 International ITG Workshop on Smart Antennas. He is the recipient of the IEEE Communications Society - Communication Theory Technical Committee (CTTC) Early Achievement Award in 2017, a Starting Grant of the European Research Council (ERC) in 2015, the IEEE Communications Society Best Young Researcher Award for the Europe, Middle East, and Africa Region in 2014, Best Paper Award at the 2016 IEEE Wireless Communications and Networking Conference (WCNC), and the Best Student Paper Award at the 2007 IEEE International Symposium on Information Theory (ISIT). His research interests are in the areas of information and communication theory, machine learning, and privacy in cyber-physical systems.