18279008. RAN NODE, UE, AND METHOD simplified abstract (NEC Corporation)
Contents
- 1 RAN NODE, UE, AND METHOD
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 RAN NODE, UE, AND METHOD - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Unanswered Questions
- 1.11 Original Abstract Submitted
RAN NODE, UE, AND METHOD
Organization Name
Inventor(s)
Sadafuku Hayashi of Tokyo (JP)
RAN NODE, UE, AND METHOD - A simplified explanation of the abstract
This abstract first appeared for US patent application 18279008 titled 'RAN NODE, UE, AND METHOD
Simplified Explanation
The present disclosure involves the transmission/reception of various types of information between an AI-capable RAN node and another apparatus. The RAN node is configured with an Artificial Intelligence (AI) function to control communication based on information received from another device. The RAN node sends out information indicating its AI capabilities to other RAN nodes, facilitating the exchange of information between AI-enabled RAN nodes and other devices.
- AI-capable RAN node with AI function for communication control
- Transmission of information between RAN nodes and other devices
- Exchange of various types of information facilitated by AI-enabled RAN nodes
Potential Applications
This technology can be applied in:
- 5G networks for efficient communication control
- IoT devices for seamless data exchange
- Autonomous vehicles for real-time decision-making
Problems Solved
This technology addresses issues such as:
- Efficient communication management in complex networks
- Real-time data processing for AI-driven applications
- Seamless integration of AI capabilities in RAN nodes
Benefits
The benefits of this technology include:
- Improved network performance and reliability
- Enhanced data processing and decision-making
- Increased efficiency in communication systems
Potential Commercial Applications
This technology can be commercially benefit:
- Telecommunication companies for advanced network management
- IoT providers for enhanced device connectivity
- AI solution providers for integrating AI capabilities in communication systems
Possible Prior Art
One possible prior art could be the use of AI in network management systems to optimize communication processes. Another could be the integration of AI functions in IoT devices for data processing and analysis.
Unanswered Questions
How does this technology impact data privacy and security in communication networks?
This article does not delve into the potential implications of AI-enabled RAN nodes on data privacy and security within communication networks.
What are the scalability limitations of this technology in large-scale network deployments?
The article does not address the scalability challenges that may arise when implementing AI-enabled RAN nodes in extensive network infrastructures.
Original Abstract Submitted
The present disclosure contributes to the transmission/reception of various types of information between an AI-capable RAN node and another apparatus. A radio access network (RAN) node is configured as an RAN node including an Artificial Intelligence (AI) function of performing control of communication based on information received from another apparatus. The RAN node transmits first information indicating that the RAN node is an RAN node including an AI function to an RAN node. This contributes to the transmission and reception of various types of information between AI-enabled RAN nodes and other devices.
