Diagnosis and remediation of wireless network problems through a self-learning cloud repository Ghent University
Due to their increasing complexity, diagnosing wireless systems (i.e. checking the network configuration settings and tweaking parameters to improve the performance) is an insurmountable task. To remedy this difficulty, this project will design solutions that can quickly adapt wireless system behavior to new conditions and environments by using an online cloud repository that stores system models from previous wireless deployments.