Dr. Aydin Sezgin (Ruhr-University Bochum, Germany) - iCore & CommNet2 Workshop Speaker
Aydin Sezgin received the Dipl.-Ing. (M.S.) degree in communications engineering and
the Dr.-Ing. (Ph.D.) degree in electrical engineering from the TFH Berlin in 2000 and the TU Berlin, in 2005, respectively.
From 2001 to 2006, he was with the Heinrich-Hertz-Institut (HHI), Berlin. From 2006 to 2008, he was a Post-doc and Lecturer
at the Information Systems Laboratory, Department of Electrical Engineering, Stanford University. From 2008 to 2009, he was
a Post-doc at the Department of Electrical Engineering and Computer Science at the University of California Irvine. From
2009 to 2011, he was the Head of the Emmy-Noether-Research Group on Wireless Networks at the Ulm University. In 2011, he
was professor at TU Darmstadt, Germany. He is currently a professor of Information Systems and Sciences at the Department
of Electrical Engineering and Information Technology at Ruhr-University Bochum, Germany.
Aydin is interested in signal
processing, communication and information theory with focus on wireless networks. He has published several book chapters,
more than 30 journal and 120 conference papers on these topics. He has co-authored a book on multi-way communications. He served
as Associate Editor for IEEE Transactions on Wireless Communications 2009-2014. Aydin is the winner of the ITG-sponsorship award in 2006.
He is the first recipient of the prestigious Emmy-Noether grant by the German Research Foundation (DFG) in communication engineering in 2009.
He has co-authored a paper that received the best poster award at the IEEE Comm. Theory Workshop in 2011. He has also co-authored a paper that
received the best paper award at ICCSPA in 2015.
Talk Title: "Cloud Processing and Edge Caching in HetNets: A Delivery Time Perspective"
Abstract: A Fog radio access network (F-RAN) is considered as a network architecture candidate to meet the soaring demand for rich multimedia services. An F-RAN as a hybrid architecture is composed of a centralized cloud server which is connected through fronthaul links to edge nodes (ENs) endowed with mobile caching capabilities. This architecture combines the benefits associated with centralized cloud processing and wireless caching enabling primarily low-latency transmission under moderate fronthaul capacity requirements. For this purpose, we study the impact of cloud and edge processing on the latency for a multi-tier network in the form of a heterogeneous network (HetNet) consisting of two ENs - a macro-cell EN and a small-cell EN - serving two mobile users. We define an information-theoretic metric, the delivery time per bit (DTB), that captures the worst-case latency for delivering any requested content to the users. For the cases when cloud and wireless transmission occur either sequentially or in parallel, we establish coinciding lower and upper bounds on the DTB as a function of cache size, backhaul capacity and wireless channel parameters. We show the optimality on the DTB for all channel regimes. Our analysis identifies all channel regimes for which edge caching and cloud processing can provide nontrivial performance gains. In addition, we show that only under parallel fronthaul-edge transmission strategies edge caching becomes obsolete as long as a finite fronthaul capacity is exceeded.