An agent-based optimization of service fulfillment in next-generation telecommunication systems

In order to increase revenues, reduce operating costs and satisfy new user demands, network providers have to develop new approaches for their service provisioning operations. One of the possible solutions for this problem is utilization of intelligent software agents. In such a scenario, software agents act on behalf of the network provider while performing certain actions in competitive environment of the telecom market. This paper presents an agent-based approach for optimization of service provisioning in a dynamic environment of the next-generation networks. Proposed solution is based on a genetic algorithm and assures a minimum operational costs regarding provisioning of new services to users.