24 and 26 May, 2016
Optimizing Radio Access Networks with Atoll Live Webinar
In this webinar, we present the optimisation capabilities of the Atoll Live module. The existing as well as new features allow the KPIs, UE/MDT traces and user experience data to be used for generating coverage plots, realistic traffic maps, antenna configuration parameters and highly optimised resource plans. During the webinar we highlight the new opportunities provided by live measurements for planning and optimisation of radio access networks. The demonstrations show the live data organic integration into the Atoll architecture and its place in the optimisation workflow.
The webinar covers how Live Data and Atoll Live can help optimise radio access networks using:
Combined coverage plots.
By combining measurement-based and prediction-based approaches, Atoll provides operators with an unmatched accuracy breaking the traditional barrier between prediction-based and measurement-based planning and optimisation tools
Live Network Data Assisted Optimisation
The live data helps to identify critical areas and provides the required input for optimising them. In the webinar, we show examples of integrating geolocated data with cell level statistics for accurate network optimisation.
Automatic Resource Allocation Using Live Data
The introduction of live measurements in the allocation algorithms can greatly improve the resulting resource usage. Atoll Live can produce highly optimised Physical Cell IDs (PCIs), frequencies and random channels (PRACH RSI) plans thanks to the simultaneous use of Atoll prediction engine and live data.
Traffic Maps Based on UE Measurements
The importance of the realistic traffic information are highlighted for various scenarios (small cells deployments, hot-spot detection, etc.). Some examples of Atoll Live traffic maps created using network statistics combined with UE measurements are demonstrated.
Prediction and measurement based neighbour lists can greatly improve the handover performance for existing as well as new sites. The automatic neighbour allocation is shown including the black and white lists creation using UE measurements.