Radio Access Network (RAN) evolution is as important as ever.

Currently, Mobile Network Operators (MNOs) operate networks that comprise of 2G, 3G and 4G technologies, while there are extensive preparations for 5G (see for instance European Horizon 2020 projects FANTASTIC-5G, Flex5Gware & Speed5G among others).

In this short demo video Incelligent presents how heterogeneous big data processed by its advanced machine learning algorithms can make huge difference for Telco decision support and thus enable the materialization of a tremendous competitive advantage. 

A competitive advantage for Telcos powered by Incelligent’s software framework.

A highly heterogeneous 25-km2 LTE network where Incelligent enables 25% faster downloads, 10% less session failures and 45% less energy consumption.

A metropolitan train - station with three main terminals and 1000 LTE user devices moving around an 1 km2 area. Incelligent enables 68% faster downloads, 18% less energy consumption and 20% more capacity.

In depth analysis of the traffic of a large commercial Wi-Fi network & accurate predictions of network state for several days ahead.