15-19 June

Artificial Intelligence

Delivering innovation in the spectrum management

Automatic Obstacle Detection

Anomaly Detection

Radio Signal Classification

Promptable RF Expert

Accurate RF Reasoning

Improved prediction Accuracy

Artificial Intelligence is transforming spectrum engineering by enabling automated analysis, faster decision-making, and real-time RF management. As spectrum becomes more congested, AI allows engineers to optimise network performance with greater speed and accuracy.

AI enhances coverage planning by improving prediction accuracy through data-driven modelling, resulting in more reliable network designs and efficient spectrum use. It also strengthens interference management by detecting, analysing, and mitigating interference in real time, ensuring consistent network performance.

By automating tasks such as frequency allocation, power control, and network optimisation, AI reduces manual effort and accelerates deployment. This enables more agile, resilient radio networks capable of adapting to changing conditions and demand.

AI-driven spectrum engineering delivers improved coverage, reduced interference, and faster, more informed decision-making, supporting efficient and reliable wireless network operations.

HiNT

HiNT is an AI-enhanced RF ontology that enables natural-language interaction with ATDI’s spectrum management and radio planning tools. By linking language models with domain-specific RF expertise, HiNT delivers accurate, context-aware decision support tailored to the needs of engineers and regulators operating in complex spectrum environments. Accessible to HTZ users with a valid maintenance agreement, it is launched from HTZ, enabling a focused and dedicated user experience.

HiNT streamlines engineering workflows by reducing manual effort, automating repetitive and time-consuming tasks, and improving consistency across project outputs. It supports faster interpretation of results, enhances analytical depth, and strengthens confidence in decision-making. By bridging advanced AI capabilities with proven RF engineering methodologies, HiNT enables users to work more efficiently, reduce risk, and extract greater value from their spectrum management and network planning activities.

Obstacle Finder

Obstacle Finder is an AI-powered solution for automated obstacle detection and clutter enrichment. Integrated with the HTZ software suite, it processes satellite imagery to identify buildings, vegetation, and other features that impact radio propagation. By enriching clutter datasets, Obstacle Finder enhances RF models, delivering more precise coverage predictions and interference analysis. The automation of clutter creation reduces manual effort, accelerates project delivery, and ensures higher accuracy in network design. With its seamless integration and real-world precision, Obstacle Finder equips engineers with the tools to make faster, more informed decisions in increasingly complex spectrum environments.