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Nokia technologies oy (20240267723). APPARATUS, METHOD, AND COMPUTER PROGRAM simplified abstract

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APPARATUS, METHOD, AND COMPUTER PROGRAM

Organization Name

nokia technologies oy

Inventor(s)

Mahnaz Sinaie of Espoo (FI)

Janne Ali-tolppa of Espoo (FI)

Stephen Mwanje of Munich (DE)

APPARATUS, METHOD, AND COMPUTER PROGRAM - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240267723 titled 'APPARATUS, METHOD, AND COMPUTER PROGRAM

The patent application describes an apparatus that receives user equipment capability information, computes statistics for a set of user equipment capability classes based on this information, and trains specific or generic models for selected classes using network management functions.

  • The apparatus receives user equipment capability information.
  • It computes statistics for a set of user equipment capability classes.
  • It trains models specific or generic for selected classes using network management functions.

Potential Applications: - Network optimization - Resource allocation in telecommunications - Predictive maintenance for user equipment

Problems Solved: - Efficient management of user equipment capabilities - Enhanced network performance - Tailored training of models for specific user equipment classes

Benefits: - Improved network efficiency - Enhanced user experience - Cost-effective resource allocation

Commercial Applications: Title: "Enhanced Network Management for Telecom Industry" This technology can be utilized by telecommunication companies to optimize their networks, improve service quality, and reduce operational costs.

Questions about the technology: 1. How does this technology improve network performance? - This technology enhances network performance by training models specific to user equipment classes, leading to more efficient resource allocation. 2. What are the potential cost savings for telecom companies implementing this technology? - Telecom companies can save costs by optimizing their networks and reducing the need for manual intervention through the use of trained models.


Original Abstract Submitted

the disclosure relates to an apparatus configured to: receive (), from user equipment, user equipment capability information; compute () statistics for a set of user equipment capability classes based on the user equipment capability information; and cause () a network management function to train models specific for at least a subset of user equipment capability classes selected amongst the set of user equipment capability classes based on the statistics for a set of user equipment capability or to train a model generic for at least a subset of user equipment capability classes selected amongst the set of user equipment capability classes based on the statistics for a set of user equipment capability classes.

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