Each speaker has been asked to take some time to generate some discussion, on top of the traditional questions from the audience.
9:00 - 9:45 : Presentation
Ha Duc Thang (PhD, LRI), on the subject "Performance-cost trade-off of joint beamforming and user scheduling in C-RAN".
10:00 - 10:45 : Presentation
Daphne Tuncer (Research Associate, University College London), on the subject “Adaptive Network Monitoring for Large-scale Networks".
Summary: The Software-Defined Networking (SDN) paradigm can allow network management solutions to automatically and frequently reconfigure network resources. When developing SDN-based management architectures, it is of paramount importance to design a monitoring system that can provide frequent and consistent updates to heterogeneous management applications. In this talk, I will present our recent contributions on the development of new approaches to enable efficient monitoring in large-scale networks. Our monitoring system possesses two main characteristics: i) flexibility, enabling statistics to be collected from different locations in the network and ii) an adaptive nature, to produce relevant information without consuming excessive resources.
11:00 - 11:45 : Presentation
Lynda Zitoune (Associate Professor, L2S), on the subject “Performance Evaluation of JT CoMP Approach: Tractable Model using Spatial Fluid Modeling".
Summary: Inter-cell interference is a major issue in OFDMA networks, due to the increasing density of Low Power Nodes(LPN) used to offload the macro base stations. Coordination between these nodes also called Coordination MultiPoint (CoMP), is identified as a promising solution to improve the signal quality and the achievable throughput while ensuring spectral efficiency over the network. Joint Transmission (JT) mode of CoMP consists to jointly transmit the useful signal from more than one BS, typically the best serving one, and one or several other base stations. In dense networks, the performance evaluation and the analysis of JT CoMP approach become a hard task which needs lot of time and huge resources to conduct simulations. In this work, we present a new mathematical framework based on spatial fluid modeling which reduces the analysis complexity and provides a macroscopic evaluation of the performance, quite faithful to those obtained using Monte Carlo simulations. The key idea is to consider a continuum of nodes rather than a fixed finite number, and to derive the mean impact of a density of nodes in a certain region of the network. The closed-form formulas of the downlink interference factor are defined for three scenarios depending on the number of coordinated nodes. Then, they are used to evaluate the signal quality improvement, particularly at the cell edge.