AI Net Planner is a cutting-edge solution that leverages advanced Artificial Intelligence (AI) algorithms to enhance the design processes of 5G telecommunications networks. This solution is specifically engineered to optimize the fiber optic access segment, ensuring seamless and efficient connections between antennas and routers and central offices, paving the way for the development of robust and high-speed 5G networks.
AI Net Planner utilizes AI algorithms, inspired by natural processes and behaviors, to refine design workflows and decision-making processes. It proposes physical infrastructure placement and routing (nodes and connectivity) as well as checks what type of devices should be used, how many ports are needed and what connections have to be established. It considers also the availability of existing infrastructure (such as available capacity within cabinets, ducts, trenches).
By doing so, it strives to facilitate the creation of more reliable and efficient 5G telecommunication infrastructures across the globe.
How it works?
Step 1: Advanced Network Decomposition
- AI Net Planner effectively decomposes the network into optimized subnetworks to meet varied requirements.
- Antennas and routers are strategically assigned to subnetworks, followed by precise link assignments.
- User-selected topologies including bus, tree, ring, and mesh
- The system leverages computational intelligence algorithms to refine topology selection
Topology types:
Step 2: Optimal Route Identification
- The system leverages the results of the network decomposition and employs AI algorithms to identify the best cable routes, taking N source locations and N destination locations as input data
- AI Net Planner proposes physical infrastructure placement and routing (nodes and connectivity) as well as checks what type of devices should be used, how many ports are needed and what connections have to be established. It also considers also the availability of existing infrastructure (such as available capacity within cabinets, ducts, trenches).
- Planners can manually adjust plans as needed, ensuring alignment with specific requirements and preferences
Step 3: Automated Project Correction
- The planned resources are meticulously synchronized with the existing resources in the real network to maintain coherence and reliability.
- Should any conflicts arise between the planned and current net work—such as trench damage or duct congestion—the system promptly initiates a re-optimization process to efficiently resolve these discrepancies.
- SunVizion AI Net Planner ensures seamless alignment between project plans and real-world conditions, enabling timely adjustments and mitigating potential disruptions to network functionality and performance.
The project is granted by European Union and financed from European Regional Development Fund under the Smart Growth Programme Operational Program 2014-2020. The project is implemented as a part of ‘Szybka Ścieżka’ competition organized by The National Centre of Research and Development.
