This topic includes a general framework of Self-Organization and Self-Optimization Networks (SONs). The main interest is to design new adaptive and predictive online algorithms to build X-efficient RRM (including Joint RRM and Common RRM) methods and protocols for sparse and dynamic networks.
Small-Cells Network Model
Automation through learning
Dynamic Fractionnal Frequency reuse
By lack of persistent end-to-end connection, several routing protocols in wireless networks fail to sustain communication between end-users. The focus here is to consider new types of networks such as Delay Tolerants Networks (DTNs) where the design and optimization of new routing protocols will help to construct efficient alternative networks.
Sparse DTN model
Stochastic optimization, Combinatorial optimization, Game theory, Queuing theory, Algorithm design and evaluation ..
Problem Formulation
Finding the solution
Implementing and testing the solution
Development of embedded DTN test bed simulation. Java/J2ME/Android
LTE System level simulations : ICIC frameworks. Matlab/C++.