Current students


Section: Telecommunications

Major Research topic:
Innovative Cross-layer Optimization Techniques for Planning of Optical Networks

Emerging 5G services are revolutionizing the way operators manage and optimize their optical networks, and the network design process must be rethought accordingly. New optical transmission technologies and solutions which provide better services and enhance the capacity utilization are needed. In this context, the introduction of tunable and interdependent system parameters such as routing configurations, modulation formats and symbol rate are enabled by the usage of coherent transmission/reception technologies, advanced digital signal processing and compensation of nonlinear effects in optical fiber propagation. Furthermore, the introduction of Filterless Optical Networks architectures provides a promising cost-effective solution to offer network agility. 
The aim of this research is to enhance the design and management of future telecommunications networks. The objective is to identify and develop optimization techniques that ensure a cost-efficient deployment while guaranteeing performance enhancement. This work includes the development of various optimization algorithms for network planning which are flexible and capable in allowing cost optimization of the system as well as ensure optimal spectral occupation. The developed optimization techniques allow for efficient routing of traffic demands in an optical networks as well as provide protection in case of a failure. The developed algorithms allow for the optimization of optical channels by taking into account various criteria such as spectral occupation and separation between coherent and non-coherent traffic. 
A promising strategy to achieve cost-optimization is to reduce the amount of expensive optical devices and the number of active sites in the network. This goal may be achieved by optimizing the number, location and type of Optical Amplifiers in the network, while guaranteeing the Quality of Transmission for all traffic demands. The optimization performed in order to achieve such objective is implemented while having a full knowledge of the impairments which are related to the physical layer (cross-layer optimization). 
According to the operator needs, the developed algorithms allow for high flexibility in performance while offering a reduction in cost and thus minimizing it, favoring less demanding network devices in order to reduce the energy consumption, and have flexibility to expand so that the network can grow when needed and minimize spectral occupation. It is important to have a certain level of tenability which makes it possible to combine more than one optimization approach simultaneously, appropriately to the needs of the network operator.