Automatic network optimization and dynamic network management using a Propagation Prediction tool in a living lab setting

In this paper, an automatic network planner and optimizer are presented. Algorithms are developed to estimate a minimal number of access points needed to achieve a predefined throughput in the different rooms in a building, and to reduce the number of access points without reducing reception quality. The algorithms are applied to realistic building floor plans. Also, the concept of dynamic network management of a living lab testbed network is presented.