On the Capacity of Interference-Limited Communications Channels with Memory
Speaker
Ron Dabora
Associate Professor, Electrical and Computer Engineering, Ben-Gurion University, Israel.
Title
"On the Capacity of Interference-Limited Communications Channels with Memory"
Abstract
In this talk we study the capacity of interference-limited channels with memory. These channels model non-orthogonal communications scenarios, such as the non-orthogonal multiple access (NOMA) scenario and underlay cognitive communications, in which the interference from other communications signals is much stronger than the thermal noise. As communications signals are inherently cyclostationary in continuous time (CT), then, after sampling at the receiver, the discrete-time (DT) received signal model contains the sampled desired information signal with additive sampled CT cyclostationary noise. We first explain why the sampled noise can be modeled either as a DT cyclostationary process with memory or a DT almost-cyclostationary process with memory, where the latter case results in a channel which is not information-stable. Thus, analyzing this model requires the development of a new approach for channels with additive non-stationary noise which has memory. Our results show, for the first time, the relationship between memory, sampling frequency synchronization and capacity, for interference-limited communications. The insights from our work provide a link between the analog and digital time domains, which has been missing in most previous works on capacity analysis. We also discuss related results on DNN-aided network clock synchronization motivated by these results, and subsequent work on source coding for such processes.
About Speaker
Ron Dabora is an Associate Professor at the Department of Electrical and Computer Engineering, Ben-Gurion University, Israel. In the academic year 2023-2024 he is a Visiting Fellow at Princeton University. He received his B.Sc. and M.Sc. degrees in 1994 and 2000, respectively, from Tel-Aviv University and his Ph.D. degree in 2007 from Cornell University; all in Electrical Engineering. From 1994 to 2000 he worked as an R&D engineer at the Institute for Advanced Communications, Israel, and from 2000 to 2003, he was with the Algorithms Group at Millimetrix Broadband Networks, Israel. From July 2007 till January 2009 he was a postdoctoral researcher at the Wireless Systems Lab, Department of Electrical Engineering, Stanford University. Since January 2009 he is a faculty member at the Department of Electrical and Computer Engineering, Ben-Gurion University, Israel. Dr. Dabora serve(d) as a TPC member in several major international conferences, including, among others, WCNC, ICC, Globecom, and PIMRC. In 2020 he was the keynote speaker at the International Symposium on Power Line Communications. During 2012-2014 he served as an associate editor and subsequently, during 2014- 2019, he was a senior area editor for the IEEE Signal Processing Letters. His current research interests include information theoretic analysis of sampled channels, synchronization in wireless networks, power line communications and machine learning for communication networks.