Tracking and forecasting end-user demand 


 

Dr Mark Heath

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We have developed a comprehensive set of end-user models, so that we can forecast the evolution of wireless service demand, and quantify traffic volumes across delivery platforms.

We track the take-up and usage of a large number of wireless services worldwide, to ensure that the assumptions made in our modelling are realistic.

Future wireless traffic volumes will be dependent upon a variety of factors, including the total number of devices, the types of 3G used, the specific services users consume and the usage of those services, the traffic intensity of each service, the split of indoor and outdoor usage, and the distribution of traffic across different service delivery methods. Our models take account of all these factors, and their interdependencies. 

We can forecast wireless service usage and traffic split by delivery method, service type, user segment, device type and geographical region.

 

 

 



We model individual services and all delivery methods

By modelling discrete wireless services, we can identify those that will contribute the majority of data usage. 

Our models takes account of all delivery methods for wireless services - not just 3G networks - so we can determine the role of WLAN systems, femtocells, broadcasting networks and sideloading.