AI for Telecom Spectrum Planning & Refarming |…

AI for Telecom Spectrum Planning & Refarming

Use AI to plan spectrum refarming and expansion, balancing capacity, interference, and device migration.

Spectrum demand rises with 5G/6G and fixed wireless. AI models demand, interference, and device fleets to schedule refarming, optimize carriers, and minimize churn and downtime.

Spectrum sharing and dynamic spectrum access scenarios.

Load balancing across bands/technologies.

Device migration targeting; CPE updates and fallbacks.

live demo · related simulation● LIVE

Change history, tickets, churn, QoE metrics.

OSS/KPI collectors; planning tools imports.

Device DB and capability maps; change/ticket logs.

Frequently asked questions

What APIs are available for integration with planning and OSS systems?

Various APIs are available to integrate with planning and Operational Support Systems (OSS) for automated scripts and auditing processes.

How do dashboards visualize capacity gains and the impact on Quality of Experience (QoE)?

Dashboards provide real-time visualization of capacity gains alongside metrics that assess the impact on QoE, allowing operators to monitor performance effectively.

Can KPIs, device mix data, RF plans, and change history be consolidated?

Yes, this system consolidates Key Performance Indicators (KPIs), device mix data, Radio Frequency (RF) plans, and comprehensive change history logs for a holistic view of the network.

How can AI simulate refarming scenarios to assess demand and interference?

AI models are used to simulate various refarming scenarios by analyzing demand patterns and potential interference levels, allowing operators to proactively optimize their spectrum allocation.

▶ Try it live

Everything above runs in your browser — open Hash Function Avalanche Visualizer and change the parameters while it is running. Nothing is installed, nothing is uploaded, the whole model lives in one tab.

▶ Open Hash Function Avalanche Visualizer simulation