US20260255184
2026-08-27
Electricity
H04W24/02
The patent application outlines a system for optimizing Radio Access Network (RAN) configurations using a combination of digital twin technology and advanced optimization algorithms. This approach allows for the simulation of network scenarios by applying configuration changes and evaluating their impact on performance metrics. The system then determines optimal configuration values, which are implemented in the RAN to enhance performance.
The focus is on digital twin assisted configuration optimization in open RAN environments. Traditional RAN optimization methods, which rely heavily on trial-and-error and human expertise, struggle with the increasing complexity and demands of modern networks. The proposed system addresses these challenges by leveraging data-driven analytics and intelligent algorithms, facilitating more efficient network management and improved user satisfaction.
The system comprises a processing unit with a digital twin engine that loads network data and simulates settings for a target RAN. Configuration changes are applied to assess their impact on performance metrics. The digital twin engine generates performance projections, which are used by an optimization RAN Application (rApp) to decide the best configuration values. These values are then applied to base stations in the RAN.
The system involves deploying optimization rApps in an open RAN, each configured to optimize different sets of configuration values. A digital twin engine communicates with these rApps, receiving simulation settings and network data to produce performance projections. These projections guide the rApps in determining the optimal configuration values, which are then implemented in the target RAN.
The system operates within a communications network that supports various access types including broadband, wireless, voice, and media. It includes network elements like base stations, access points, and switching devices, which facilitate communication and content distribution. The network infrastructure supports integration with content sources and encompasses both wired and wireless links, ensuring comprehensive network management and performance optimization.