Date: Tuesday November 7, 2017
Place: NII, room 1901
Speaker: Lila Boukhatem (Paris-Sud University)
Joint Beamforming and User Clustering Optimization in 5G Cloud Radio
Cloud Radio Access Network (CRAN) is a promising network
architecture for 5G to address the increasing demand for mobile data traffic.
In this talk, we consider the joint beamforming and clustering (user-to-Remote
Radio Head (RRH) association) issue for downlink CRAN to solve the sum-rate
maximization problem under fronthaul link capacity and per-RRH power
constraints. Mainly, we investigate and analyze the trade-off between system
throughput and the incurred costs in terms of complexity and signaling
overhead, including the impact of imperfect Channel State Information (CSI).
We propose a new algorithm which has the benefit to approach the optimal
performance in terms of throughput while being aware of practical system
constraints mainly complexity and signaling costs.
*BIO*: Dr. Lila Boukhatem is an associate professor at LRI laboratory, a joint
CNRS and University of Paris Saclay/Paris-Sud 11 research Lab. She received a
computer science engineering degree in 1997 from INI Institute (Algeria), MsC
degree in 1998 from the University of Versailles Saint Quentin-en-Yvelines and
Ph.D. degree in 2001 from the University of Pierre et Marie Curie (Paris 6).
She joined the LRI laboratory in 2002 where she is developing various research
works in mobile and wireless networks including: Cross-layer design, modeling
and performance evaluation, radio resource allocation and optimization in 4G
and 5G networks, mobility management, and routing and energy in ad hoc
networks. She has been involved in several national and international projects
and programs such as PHC Sakura, FP7 – NoE (Network of Excellence) NEWCOM#,
and CNRS PICS. Her current research interests are interference mitigation in
Heterogeneous Networks and resource allocation in Cloud Radio Access Networks