Jad Nasreddine is an expert in radio communication with over 10 years of experience in telecommunication industry and academy.
He is presently Associate Professor at Rafik Hariri University.
Previously, he was the RAN/Core product manager at Mobinets.
Before, he was working as senior researcher at the RWTH Aachen University.
Between 2005 and 2008 he was working as post-doctoral researcher at Telecom-Bretagne and BarcelonaTech, respectively.
He received his Ph.D. degree in March 2005 from university of Rennes I and his B.E. in computer science and telecommunications in 2001 from the Lebanese university.
During his PhD, he was working as research assistant at the Telecom-Bretagne.
During his stay in RWTH Aachen, he was acting as project manager for European and industrial projects on designing and prototyping cognitive radio solutions for wireless networks and LTE systems with first-class European universities and international companies such as France telecom, imec, Microsoft, Toshiba, and Huawei.
ASM (Advanced Spectrum Management)
CN (Cognitive Network)
CR (Cognitive Radio)
DCA (Dynamic Channel Allocation)
DSA (Dynamic Spectrum Allocation)
Femtocells and small cells
HetNet (Heterogeneous Network)
Machine Learning and Data Mining
MDT (Minimization of Drive-Tests)
PC (Power control)
REM (Radio Environmental Map)
RRM (Radio Resource Management)
SON (Self-Orgnanizing Network)
TDD (Time Division Duplex)
Dr. Nasreddine has been actively participating in several European projects, international standardization bodies, and international conferences and workshops to develop new techniques for wireless systems such as cognitive radio, self-organizing networks, UMTS, LTE/LTE-Advanced, propagation models and femtocells. He has been also developing and instructing variety of courses and laboratories on telecommunication systems. Dr. Nasreddine served as track chair, associated editor, TPC and reviewer for several conferences and journals. He is also author of over 50 technical papers.
His research interests include cognitive and composite networks, spectrum and radio resource management, opportunistic access and cooperative networks, smallcells, stochastic and context based techniques, propagation models, and machine learning applications.
In systems using CDMA technique, users share the same bandwidth. Therefore, these systems are
interference limited and the most important procedure to increase system capacity and ameliorate
QoS level is interference management. In systems using pure CDMA technique, power control is a
widely used procedure for decreasing interference and upholding required QoS levels. In addition
to power control, the combination of TDMA and TDD techniques with CDMA provides a new degree of
flexibility in interference management using slot allocation techniques. However, exploiting this
flexibility induces new challenges to mitigate such as the presence of pernicious mobile-to-mobile
In this thesis, we exploit the flexibility of TDMA-CDMA/TDD systems and the
characteristics of the CDMA technique. We propose power control algorithms combined
with slot allocation techniques in order to provide required QoS levels for users.
First, we develop a simple generic optimum power control algorithm and we propose
different schemes using this algorithm. The developed model can be applied to uplink,
downlink and crossed slots to evaluate system performance and can be used to design
efficient distributed algorithms.
Moreover, we propose simple modifications to the standardized closed-loop power control of the
UMTS. The proposed modifications lead to a significant increase in system performance without
increasing system complexity and signaling traffic. We also propose heuristic and
meta-heuristic methods combining the optimum power control and slot allocation techniques to
find the upper bound of system performance in TDMA-CDMA/TDD systems. These methods can be
adapted to real systems using radio interface measurements. Finally, we investigate flexible
slot allocation techniques to avoid high interference that can appear in systems supporting
heterogeneous services and asymmetric traffic between uplink and downlink
(i.e. mobile-to-mobile interference).