There are two reasons why somebody might want to measure the performance of radiocommunication stations or a network. Firstly, to confirm that the models used at the design stage for signal prediction, traffic analysis and interference assessment are valid. Secondly, to confirm that the network is working as intended. These concepts of validation and verification work in unison to ensure a good quality network.


Modelling and planning use algorithms – ways of representing reality. For example, an algorithm for simulating coverage from a radiocommunications site is a circle on a map. Spectrum Center makes use of highly accurate algorithms encompassing the geographic or environmental model, the model of the terminal, the algorithm for signal interaction and the algorithm for signal prediction as it propagates between points on the Earth’s surface. 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.

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


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