View source for 18555977. A PACKET DATA UNIT SESSION FOR MACHINE LEARNING EXPLORATION FOR WIRELESS COMMUNICATION NETWORK OPTIMIZATION simplified abstract (Nokia Technologies Oy)

=A PACKET DATA UNIT SESSION FOR MACHINE LEARNING EXPLORATION FOR WIRELESS COMMUNICATION NETWORK OPTIMIZATION=


==Organization Name==

[[:Category:Nokia Technologies Oy|Nokia Technologies Oy]]


[[Category:Nokia Technologies Oy]]

==Inventor(s)==

[[:Category:Peter Rost of Munich (DE)|Peter Rost of Munich (DE)]][[Category:Peter Rost of Munich (DE)]]

[[:Category:Cinzia Sartori of Munich (DE)|Cinzia Sartori of Munich (DE)]][[Category:Cinzia Sartori of Munich (DE)]]

[[:Category:Dario Bega of Munich (DE)|Dario Bega of Munich (DE)]][[Category:Dario Bega of Munich (DE)]]

==A PACKET DATA UNIT SESSION FOR MACHINE LEARNING EXPLORATION FOR WIRELESS COMMUNICATION NETWORK OPTIMIZATION - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18555977 titled 'A PACKET DATA UNIT SESSION FOR MACHINE LEARNING EXPLORATION FOR WIRELESS COMMUNICATION NETWORK OPTIMIZATION

'''Simplified Explanation:'''
The patent application describes devices, methods, and computer programs for establishing a packet data unit (PDU) session for machine learning exploration in wireless communication network optimization.

* Client device detects trigger condition for machine learning exploration.
* Client device initiates PDU session for machine learning exploration.
* PDU session is reserved for machine learning exploration.
* Machine learning exploration indicator associated with PDU session.
* Aimed at optimizing wireless communication networks.

'''Key Features and Innovation:'''
- Detection of trigger conditions for machine learning exploration.
- Establishment of PDU session for machine learning exploration.
- Reservation of PDU session specifically for machine learning exploration.
- Association of machine learning exploration indicator with PDU session.
- Focus on optimizing wireless communication networks.

'''Potential Applications:'''
This technology can be applied in:
- Network optimization in wireless communication.
- Enhancing machine learning exploration processes.
- Improving efficiency and performance of wireless networks.

'''Problems Solved:'''
- Addressing the need for optimized wireless communication networks.
- Streamlining machine learning exploration for network optimization.
- Providing a dedicated session for machine learning tasks.

'''Benefits:'''
- Improved performance and efficiency in wireless communication networks.
- Enhanced machine learning exploration processes.
- Streamlined network optimization procedures.

'''Commercial Applications:'''
Title: "Wireless Communication Network Optimization with Machine Learning Exploration"
This technology can be utilized by:
- Telecommunication companies for network optimization.
- Technology firms focusing on wireless communication advancements.
- Research institutions exploring machine learning in network optimization.

'''Questions about Wireless Communication Network Optimization with Machine Learning Exploration:'''
1. How does this technology improve the efficiency of wireless communication networks?
2. What are the key features that set this innovation apart in the field of network optimization?

Ensure the article is comprehensive, informative, and optimized for SEO with appropriate keyword usage and interlinking. Use varied sentence structures and natural language to avoid AI detection. Make the content engaging and evergreen by focusing on the lasting impact and relevance of the technology.


==Original Abstract Submitted==

Devices, methods and computer programs for a packet data unit session for machine learning exploration for wireless communication network optimization are disclosed. A client device detects a trigger condition being satisfied for machine learning exploration for wireless communication network optimization. In response, the client device initiates establishment of a packet data unit (PDU) session for the machine learning exploration. The PDU session for the machine learning exploration is associated with a machine learning exploration indicator that indicates that the PDU session is reserved for machine learning exploration.



[[Category:H04L41/16]]
[[Category:H04L41/0823]]
[[Category:H04W24/02]]
[[Category:CPC_H04L41/16]]