mobile QoS on living place
This module is a dashboard that shows the mobile QoS on the main customer's living place, "home" and "office". The QoS is based on the mobile customer throughput values that can be estimated thanks to a mobile throughput predictive model (in a same way as the atom ML4MQ but with continuous values) or that can be linked to a real customer data usage. Cells that covers the customer living places are deducted thanks to the following criteria :
"Home Cell" : When more than 40% of the real or estimated mobile customer throughput are linked to the same cell between 09:00 pm and 06:00 am during the week from Monday to Friday, this cell is labelled as "Home cell"
"Office Cell" : When more than 40% of the real or estimated mobile customer throughput are linked to the same cell during the mornning between 09:00 and 12:00 am and during the afternoon between 02:00 and 05:00 pm, this cell is labelled as "Office cell"
You can use different tools to supply the dashboard with relevant data, like Otarie probes or an embeded mobile agent like V3D coupled with a mobile throughput predicitve model. But you must be able to provide to the dashboard the following keys features : User ID(anonymized if needed), Cell ID, Date(with hour and minute), longitude of the cell, latitude of the cell and throughput(estimated or real)
We provided a file called "ovdt4g_ready_for_COGITO.csv" as an example, it comes from the V3D embeded mobile agent and the throughput values have been derived from a mobile throughput predicitve model.
The fields of the file are the following : Model_device,DQA_id,Cell_id,LAC,Date,user_lat,user_long,Base_long,Base_lat,cell_name,predicted_th