New Hampshire Patent of the Month – August 2024

A5G Networks, Inc. has designed a proprietary solution to address the challenges of dynamic network slice management in 5G networks. As the demand for data surges, network operators need agile, scalable solutions to efficiently allocate resources. This innovation enables smarter management of network slices, ensuring seamless distribution of network resources across public and private networks.

The core of this system is its ability to collect real-time load conditions from different network slices and predict future usage. By leveraging machine learning algorithms, it analyzes key performance indicators (KPIs) and resource availability to generate proposals for sharing network management between multiple service nodes. This collaborative approach allows different nodes to work together dynamically, enhancing resource allocation and preventing inefficiencies.

The system’s architecture comprises hardware processors and memory that store instructions for executing this dynamic slice management. It communicates load conditions between service nodes, generates proposals for shared management, and modifies configurations accordingly. The machine learning component refines these decisions over time, ensuring continuous optimization.

This method revolutionizes network resource allocation, offering enterprises and operators the flexibility to scale services based on actual usage rather than static allocation models. It also promises enhanced service levels, cost efficiency, and seamless integration across public and private networks. By solving the inefficiencies in traditional static network management, A5G Networks’ invention paves the way for smarter, more adaptive 5G infrastructure.

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