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The application utilizes user satisfaction feedback to personalize the wireless network decisions and hence, micro-manage the available resources to optimize user satisfaction.
About
ENABLING WIRELESS NETWORK BIG DATA-DRIVEN PERSONALIZATION USING ZONE OF TOLERANCE MODELING AND PREDICTIVE ANALYTICS A novel method and system for managing and allocating wireless network resources to optimize User satisfaction. The system comprises a wireless base station that employs a ‘zone of tolerance’ machine-learning algorithm to model user satisfaction and optimize allocation of network resources. US application 17/188,683 (filed 1-Mar-2021) CA application 3,111,030 (int’l filing date 29-Aug-2019) CA application 3,126,091 (filed 27-Jul-21) EP application 08940587 (int’l filing date 29-Aug-2019) Inventor(s): Alkurd, Rawan; Yanikomeroglu, Halim; Abualhaol, Ibrahim Please contact Theresa White (Manager- Innovation Transfer) at [email protected] for more information.
Key Benefits
• A maximum user satisfaction can be achieved with a minimum amount of resources. • By saving resources, it can be utilized for more critical applications such as public safety and autonomous cars. • Customers will save more money as they do not have to pay for the provided extra bandwidth they do need or use.