18288673. Network Node and Method Performed Therein simplified abstract (Telefonaktiebolaget LM Ericsson (publ))
Contents
- 1 Network Node and Method Performed Therein
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 Network Node and Method Performed Therein - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Key Features and Innovation
- 1.6 Potential Applications
- 1.7 Problems Solved
- 1.8 Benefits
- 1.9 Commercial Applications
- 1.10 Questions about AI
- 1.11 Frequently Updated Research
- 1.12 Original Abstract Submitted
Network Node and Method Performed Therein
Organization Name
Telefonaktiebolaget LM Ericsson (publ)
Inventor(s)
Meysam Masoudi of Sollentuna (SE)
Cicek Cavdar of Stockholm (SE)
Network Node and Method Performed Therein - A simplified explanation of the abstract
This abstract first appeared for US patent application 18288673 titled 'Network Node and Method Performed Therein
Simplified Explanation
The patent application describes a method for managing communication in a network by assessing the risk associated with using an AI module to manage a feature and activating or deactivating the AI module based on this assessment.
- The network node evaluates the risk level of using an AI module for managing a feature.
- It compares this risk level with a predetermined threshold.
- The AI module is either activated or deactivated based on this comparison.
Key Features and Innovation
- Method for managing communication in a network by assessing risk levels associated with using an AI module.
- Activation or deactivation of the AI module based on the comparison of risk levels.
- Focus on maintaining performance levels in the communication network.
Potential Applications
This technology can be applied in various communication networks to optimize the use of AI modules for managing features while minimizing performance degradation.
Problems Solved
- Efficient management of communication networks using AI modules.
- Prevention of performance degradation in the network.
- Enhanced decision-making process for activating or deactivating AI modules.
Benefits
- Improved network performance.
- Enhanced risk management in utilizing AI modules.
- Optimal utilization of AI technology in communication networks.
Commercial Applications
- Telecom companies can use this technology to enhance network performance.
- IT companies can integrate this method to improve communication network efficiency.
Questions about AI
1. How does the method assess the risk level associated with using an AI module? 2. What factors determine the predetermined threshold for risk assessment?
Frequently Updated Research
Research on AI technology advancements in communication networks can provide insights into the continuous development of this method.
Original Abstract Submitted
Embodiments herein relate to a method performed by a network node () for managing communication in a communication network. The network node () obtains an indication relating to a level of risk in using an AI module for managing a feature, wherein the level of risk is associated with a level of a degradation of a performance in the communication network. The network node compares the obtained level of risk with a set level of risk; and based on the comparison, activates or deactivates the AI module for managing the feature.
