Executive Summary In today's complex and everchanging communications industry, dramatic transformations in standards, technology, and the ecosystem that provides them are changing the way solutions are developed, validated, and deployed. An important strategy for telecommunication equipment vendors to remain competitive is to consolidate standards-based commercial off-the-shelf (COTS) component...

Network Function Virtualization (NFV) has recently received significant attention as an innovative way of deploying network services. By decoupling network functions from the physical equipment on which they run, NFV has been proposed as passage towards service agility, better time-tomarket, and reduced Capital Expenses (CAPEX) and Operating Expenses (OPEX). One of the main selling points of NF...

The last few years have witnessed the successful diffusion of a number of wireless technologies including the increasing popularity of mobile phone services and wireless web services. As mobile communication now moves towards its next and much awaited milestone-3G services, it is imperative that equipment manufacturers, service providers and application developers must address the diffusion iss...

This paper describes a biased random-key genetic algorithm for a real-world wireless backhaul network design problem. This is a novel problem, closely related to variants of the Steiner tree problem and the facility location problem. Given a parameter h, we want to build a forest where each tree has at most h hops from the demand nodes, where traffic originates, to the root nodes where each tre...

In order to analyze the operation of the protection system during induced fault testing in the Croatian power system, a simulation using the CAPE software has been performed. The CAPE software (Computer-Aided Protection Engineering) is expert software intended primarily for relay protection engineers, which calculates current and voltage values during faults in the power system, so that relay p...

-Neural computing refers to a pattern recognition methodology for machine learning. The resulting model from neural computing is often called an artif icial neural network (ANN) or a neural network. Neural networks have been used in many business applications for pattern recognition, forecasting, prediction and classif ication. Neural network computing is a key component for any data mining too...