AI for Spectrum Optimization & Interference Detection
5 Days
Course Overview
With increasing spectrum congestion, dynamic sharing models, and the introduction of 5G, NTN, and private networks, traditional rule-based spectrum monitoring and interference management are no longer sufficient. Artificial Intelligence (AI) enables automated spectrum sensing, anomaly detection, predictive interference analysis, and optimization of spectrum usage. This course provides an end-to-end understanding of how AI can be applied to spectrum management, covering AI fundamentals, spectrum analytics, interference detection techniques, and governance considerations. Participants will learn how AI supports proactive, data-driven spectrum decisions while ensuring regulatory compliance and transparency.
Upcoming Trainings
Feb 9, 2026
Feb 23, 2026
Mar 9, 2026
Mar 23, 2026
Target Audience
- Spectrum management and planning authorities
- Wireless monitoring & enforcement teams
- Telecom regulators and policy makers
- RF engineers and spectrum analysts
- Public safety and defense communication teams
- AI/analytics leads in telecom and government
- Technical consultants and advisors
Prerequisites
- Basic understanding of: Radio spectrum and RF concepts
- Basic understanding of: Spectrum management and monitoring principles
- Familiarity with Telecom networks (4G/5G - high level)
- Familiarity with Data analytics concepts (helpful)