Modelling and planning makes use of algorithms – ways of representing reality. For example, an algorithm for simulating coverage from a radiocommunications site is a circle drawn on a map. Although not accurate it is a model of reality. ATDI make use of highly accurate algorithms comprising of the geographic or environmental model, the model of the terminal, the algorithm for signal interaction and finally the algorithm for signal prediction as it propagates between points on the Earth’s surface. Despite years of investment in research, these models are still of finite accuracy and anyone designing a network must be aware of this. Validation involves taking measurements on a representative test network and correlating and tuning the various algorithms for optimum accuracy. The models are then used in the design ensuring that error and risk are mitigated.

Despite using validated models, some operators still require proof that the deployed network is operating as contractually specified. Here two approaches are used: the operator can test every site, every link and every station in the network and prove performance. Alternatively, the concept of sample and inference can be used. Sample and inference relies on the fact that valid models are used. Testing is applied to prove that, post installation, a sample of the stations in the network are functioning as intended. If this sample is statistically significant, it can be inferred that, to a given confidence, all stations in the network will be working as intended.

ATDI has validated and verified multiple models and networks for every technology. Contact us to discuss how we might cost effectively help you.