Abstract:
Auto-tuning or Self-optimization in mobile networks is under continuous evolution in
current era. Self optimization means the process where UE (user equipment) and eNB
(enhanced Node B) performance measurements are used to auto-tune the network
Radio Resource Management (RRM) parameters (in order to achieve optimal network
performance. With the growth in the size and complexity of the mobile wireless
networks self-optimization is important, in order to reduce the operational cost of the
network.
Research on auto-tuning has already been reported for GSM networks. Many
contributions on RRM auto-tuning in 3G networks have been reported. Although
there were important industrial and academic efforts, auto-tuning was unable to get its
place in the UMTS standard. The ambitious targets for the LTE system have given
Self Organizing Networks (SON) functionalities a place in the standard including
self-configuration, self-optimization and self healing. Different RRM parameters have
been used for auto tuning such as Inter-Cell Interference Coordination (ICIC) and
load balancing using handover parameter optimization.
In this research, we will specially investigate the joint optimization of more than one
RRM parameters i.e. Mobility and Inter-Cell Interference Co-ordination (ICIC) to
achieve the network optimization objective. It was expected that joint optimization of
two RRM parameters will yield better network performance in terms of KPIs (Key
Performance Indicators) as compared to the case when single RRM parameters is
optimized.
The performance of proposed auto tuning algorithm has been evaluated. Simulation
results have shown better network performance in terms of KPIs with joint
optimization.
