Intel corporation (20240349082). ENHANCED COLLABORATION BETWEEN USER EQUPIMENT AND NETWORK TO FACILITATE MACHINE LEARNING simplified abstract
Contents
ENHANCED COLLABORATION BETWEEN USER EQUPIMENT AND NETWORK TO FACILITATE MACHINE LEARNING
Organization Name
Inventor(s)
Dawei Ying of Portland OR (US)
Zongrui Ding of Portland OR (US)
ENHANCED COLLABORATION BETWEEN USER EQUPIMENT AND NETWORK TO FACILITATE MACHINE LEARNING - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240349082 titled 'ENHANCED COLLABORATION BETWEEN USER EQUPIMENT AND NETWORK TO FACILITATE MACHINE LEARNING
Simplified Explanation: This patent application describes a system for collaboration between user equipment (UE) and a network for machine learning. It involves a radio access network (RAN) node B device that supports machine learning and interacts with the UE device to provide machine learning support.
- The RAN node B device transmits an indication of its machine learning support to the UE device.
- The UE device sends a service registration to the RAN node B device, requesting machine learning support.
- The RAN node B device requests information about the UE device's hardware and machine learning capabilities.
- Based on the information received, the RAN node B device transmits a machine learning configuration to the UE device for its use.
Key Features and Innovation:
- Collaboration between UE and network for machine learning support.
- RAN node B device indicating machine learning support.
- Requesting information about UE device capabilities.
- Transmitting machine learning configuration to UE device.
Potential Applications: This technology can be applied in telecommunications, IoT devices, and other industries requiring machine learning support for user equipment.
Problems Solved: This technology streamlines the process of enabling machine learning capabilities on user equipment by facilitating collaboration between the device and the network.
Benefits:
- Improved machine learning support for user equipment.
- Enhanced communication between devices and networks.
- Streamlined configuration process for machine learning capabilities.
Commercial Applications: Potential commercial applications include telecommunications companies, IoT device manufacturers, and industries utilizing machine learning for user equipment optimization.
Prior Art: Prior art related to this technology may include patents or research papers on machine learning support in telecommunications networks and collaborative systems between devices and networks.
Frequently Updated Research: Stay updated on advancements in machine learning support for user equipment and collaborations between devices and networks to enhance efficiency and performance.
Questions about Machine Learning Collaboration: 1. How does this technology improve machine learning support for user equipment? 2. What are the key benefits of collaboration between UE and the network for machine learning?
Original Abstract Submitted
this disclosure describes systems, methods, and devices related to collaboration between user equipment (ue) and network for machine learning. a radio access network (ran) node b device may transmit, to the ce device, an indication that the node b device supports machine learning; identify a service registration, received from the ue device, indicating that the ue device requests machine learning support from the node b device; transmit, to the ue device, a request for information associated with the ue device, the information associated with at least one of hardware capabilities or machine learning capabilities of the ue device; identify the information received from the ue based on the request for information; and transmit, to the ue device, a machine learning configuration for use by the ue device, wherein the machine learning configuration is based on the information.
