20240056350. SYSTEM AND METHOD FOR A NETWORK CONFIGURATION FOR MEDIA DISTRIBUTION USING A GENETIC ALGORITHM simplified abstract (Dell Products L.P.)
Contents
SYSTEM AND METHOD FOR A NETWORK CONFIGURATION FOR MEDIA DISTRIBUTION USING A GENETIC ALGORITHM
Organization Name
Inventor(s)
SYSTEM AND METHOD FOR A NETWORK CONFIGURATION FOR MEDIA DISTRIBUTION USING A GENETIC ALGORITHM - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240056350 titled 'SYSTEM AND METHOD FOR A NETWORK CONFIGURATION FOR MEDIA DISTRIBUTION USING A GENETIC ALGORITHM
Simplified Explanation
The abstract describes a method for determining a network configuration by obtaining a network configuration request, evaluating current generation of multi-variable chromosomes, selecting the highest scored chromosome, and using its attributes to configure neighboring base stations.
- Method for determining network configuration
- Obtaining network configuration request
- Evaluating current generation of multi-variable chromosomes
- Selecting highest scored chromosome
- Configuring neighboring base stations based on selected attributes
Potential Applications
- Telecommunications industry
- Network management systems
- Internet of Things (IoT) devices
Problems Solved
- Efficient network configuration
- Optimized media transmission
- Improved service quality
Benefits
- Enhanced network performance
- Cost-effective configuration
- Automated network management
Original Abstract Submitted
a method for determining a network configuration, the method comprising: obtaining, by a network configuration manager, a network configuration request for configuring client service regions, wherein the network configuration specifies configuring the transmission of media from the media providing service to neighboring base stations of the client service regions, in response to the obtaining: obtaining a current generation of multi-variable chromosomes, applying a fitness function on each of the current generation to obtain a set of confidence scores, wherein each of the set of confidence scores corresponds to one of the current generation of multi-variable chromosomes, selecting, based on the set of confidence scores, a highest scored multivariable chromosome, wherein the highest scored multi-variable chromosome comprises a plurality of network attributes, based on the selecting, determining the network configuration using the plurality of network attributes, and initiating the network configuration on the neighboring base stations.
