Management of Self-Organizing Networks

Mobile communication is based on highly complex network architectures requiring frequent (re)configurations of network elements. In this project a concept is developed for reducing management complexity and raising the degree of automation in mobile networks. For this purpose, policy-based techniques are applied, which enable the management system to take decisions autonomically by correlating events, conditions, and actions. Thus, human knowledge is encapsulated in a machine-executable way, thereby reducing the amount of work and time to be spent by human operators for operation, administration and maintenance of the network.