Join us for an invited talk with Dr. Zoran Utkovski (University Goce Delcev in Stip, Macedonia):
- Title: “C-RAN-Assisted Random Access: Impcat of Fronthaul Capacity Limitations”.
- Event Date: Thursday, September 17; 2015, 11:00 am
- Location: 4.2.E03 Room; Torres Quevedo Building; Leganés Campus; Universidad Carlos III de Madrid.
Cloud-Radio Access Network (C-RAN), one of the most prominent architectures for 5G cellular systems, is characterized by a hierarchical structure in which the baseband processing functionalities of remote radio heads (RRHs) are virtualized by means of cloud computing at a Central Unit (CU). A key limitation of C-RANs is given by the capacity constraints of the fronthaul links connecting RRHs to the CU. In this talk we address the impact of this architectural constraint on the fundamental functions of random access and active user equipment (UE) identification in the presence of a potentially large number of UEs. We discuss two baseline algorithmic solutions, a standard C-RAN approach based on quantize-and-forward and an alternative scheme based on detect-and-forward. Both techniques leverage Bayesian compressive sensing algorithms and are elucidated with reference to the state-of-the-art on compressive sensing. Numerical results illustrate the advantages of centralized processing and the relative merits of the two schemes as a function of the main system parameters.
Zoran Utkovski received his Ph.D. (Dr.-Ing) degree (with distinction) from the University of Ulm, Germany, and his M.Sc. degree (with distinction) from Chalmers University of Technology. He currently holds positions of a research group Leader at the Laboratory for Complex Systems and Networks, Macedonian Academy of Sciences of Arts, and an Assist. Prof. at the University Goce Delcev in Stip, Macedonia. He is recipient of the US Fulbright Fellowship and the German DAAD fellowship. His work focuses on next-generation wireless networks, with accent on characterization of the performance limits and investigation of coding schemes for communication in the non-coherent setting (without a priori CSI). His further research interests include communication and signal processing paradigms inspired by biological systems.