A Novel Design SDNS Framework for High end Level Communication (5G) Network

Adding flexibility to 5G networks through circuit spinning an adaptable is a viable approach. Key components such as Network slicing, software-defined networking (SDN), and network service virtualization (NFV) are utilized in various innovative ways to enable end-to-end (E2E) isolation services. These methods facilitate the production of desired outputs, ensuring that each network slice is maintained and provisioned as necessary. The project’s goal is to develop a website with planned and efficient content distribution using machine learning, incorporating dynamic slices with updated scheduling.A list of primary Key Performance Indicators (KPIs) including CPU power, bandwidth, latency, and connectivity, are used with a substrate manufacturing device that comes equipped with a protective layer to ensure that performance is optimal and safety is not compromised. In addition, the optimization approach, namely ADAM, with an MLP, is used to create network slices. Network slices for any service that is demanded are classified as massive device-type communication (mMTC), ultra-reliable low-latency communication (uRLLC), and enhanced mobile broadband (eMBB. This classification ensures that not just network slices are provided but that the resources are provided in an optimal manner. The Dijkstra algorithm is used to allocate the resources, such that the shortest path amongst the nodes of the substrate network is determined to maximize both user accessibility and the efficiency of resource utilization. These approaches, in a comprehensive manner, are sought to be introduced to improve the efficiency of the overall system in catering to the needs of modern 5 G networks.