Project

Diagnosis and remediation of wireless network problems through a self-learning cloud repository

Code
01N02717
Duration
01 January 2017 → 31 October 2021
Funding
Regional and community funding: Special Research Fund
Research disciplines
  • Natural sciences
    • Applied mathematics in specific fields
    • Computer architecture and networks
    • Distributed computing
    • Information sciences
    • Information systems
    • Programming languages
    • Scientific computing
    • Theoretical computer science
    • Visual computing
    • Other information and computing sciences
  • Engineering and technology
    • Communications
    • Communications technology
Keywords
wireless networks network optimization cross-layer optimization
 
Project description

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.