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This novel Wireless Network Personalization technology optimizes wireless networks in real-time, at the application and end-user layer.
About
Current wireless networks are designed with a focus on worst-case scenarios, leading to over-engineering and inefficient resource use. This conventional approach assumes uniform user satisfaction leading to unnecessarily high Quality of Service (QoS) levels that exceed actual user requirements. As a result, network efficiency is compromised, and resources are underutilized, reducing the system’s overall performance.
Our Wireless Network Personalization technology optimizes wireless networks in real-time, at the application and end-user layer. Using predictive analytics, big-data techniques and machine learning it effectively tailors performance to optimize individual user satisfaction and resource utilization.
Protection Status:
US Patent issued Aug. 22, 2023
CA Patent Application filed Jul 27, 2021
Inventor(s): Alkurd, Rawan; Yanikomeroglu, Halim; Abualhaol, Ibrahim
Technology Status : Concept Validated, seeking for development partners and licensees
Key Benefits
•Resource Efficiency: Optimizes resources for critical applications like public safety and autonomous vehicles.
•Enhanced User Satisfaction: Delivers personalized service, improving user experience, retention, and acquisition.
•Operational Flexibility: Empowers operators to customize services and pricing, enhancing retention & attracting a diverse user base.
•Crisis Management: Prioritizes resource allocation for critical applications during emergencies.
Applications
Applicable to any network needing user feedback for service optimization, including wired networks and WiFi. Key sectors include:
•Telecom Operators
•Vendors and Manufacturers
•New Market Entrants to Wireless and Networking
•Big Data and Analytics Companies
Please contact Shoma Sinha, Assistant Director - Innovation & Partnerships, Carleton University for more information.