Nokia technologies oy (20240256970). RADIO NETWORK CONTROL simplified abstract
Contents
RADIO NETWORK CONTROL
Organization Name
Inventor(s)
Malgorzata Tomala of Wroclaw (PL)
RADIO NETWORK CONTROL - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240256970 titled 'RADIO NETWORK CONTROL
The abstract describes an apparatus that processes information on aspects of a machine learning algorithm to be used in a radio communication network operating in an ununiform and/or distributed manner.
- The apparatus examines information on access units in the network, considering their location and capabilities.
- It selects access units to deliver or request the machine learning algorithm based on the algorithm's aspects and the access units' information.
- The selection process is centrally controlled, ensuring the algorithm is used effectively in the network.
Potential Applications: - Optimizing machine learning algorithms in radio communication networks - Enhancing network performance through intelligent algorithm distribution
Problems Solved: - Efficiently deploying machine learning algorithms in ununiform and distributed networks - Maximizing the utilization of access units in the network
Benefits: - Improved network efficiency and performance - Centralized control for better algorithm management
Commercial Applications: Title: "Optimized Machine Learning Algorithm Deployment in Radio Communication Networks" This technology can be used by telecommunications companies to enhance the performance of their radio communication networks, leading to better service quality and customer satisfaction. It can also be valuable for network equipment manufacturers looking to offer advanced solutions for optimized algorithm deployment.
Prior Art: Further research can be conducted in academic journals and patent databases to explore prior art related to machine learning algorithm deployment in radio communication networks.
Frequently Updated Research: Stay updated on advancements in machine learning algorithms for radio communication networks to ensure the most effective deployment strategies are being utilized.
Questions about Machine Learning Algorithm Deployment in Radio Communication Networks: 1. How does the centralized control of algorithm deployment benefit the overall network performance? - Centralized control ensures efficient utilization of the machine learning algorithm across the network, leading to improved performance and resource management.
2. What factors are considered when selecting access units for algorithm delivery or request? - The selection process takes into account the specific aspects of the machine learning algorithm and the capabilities of the access units to ensure optimal deployment.
Original Abstract Submitted
as an aspect, there is provided an apparatus, caused at least to: process, by a central network unit, information on aspects of a machine learning algorithm to be used in an ununiform and/or distributed-manner operating radio communication network, wherein the aspects are characterizing to usage of the machine learning algorithm; examine information on access units in the radio communication network, wherein the information is associated with the location and/or capabilities of the access units; select at least one access unit among the access units to which the machine learning algorithm is to be delivered or from which the machine learning algorithm is to be requested based on the aspects of the machine learning algorithm and on the information on the access units for the machine learning algorithm being used in the ununiform and/or distributed-manner operating radio communication network in a centrally controlled manner.
