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

The subject application relates to telecommunication networks and more particularly, to a method and system for managing and allocating wireless network resources to optimize User satisfaction. One aspect of the invention is directed to a system comprising a wireless base station; a user device; 5 and a wireless network connecting said wireless base-station to said user device; said wireless base station being operable: to employ a ‘zone of tolerance’ to model user satisfaction; and to respond to a request from said user device to access network resources, by allocating network resources based on said ‘zone of tolerance’ model. Other aspects of the invention are also shown and described including a system and method of allocating network resources based on an automated machine learning model selection and optimization process.

PCT application number: PCT/CA2019/051197 (filed Aug. 29, 2019)
US application 17/188,683 (int’l filing date 29-Aug-2019)
International publication number: WO2020/0041883
CA application 3,11,030 (int’l filing date 29-Aug-2019)
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.

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