Case Studies

Traffic forecasting and smart capacity planning for supporting mobile network planning and investment decisions

Greek Telecom Operator


Case Study Details


Big Data from disparate sources (network and non-network), High variations/Seasonalities


Utilize machine learning algorithms and advanced, big-data analytics to generate knowledge and reports quickly and accurately for supporting optimal decisions regarding spectrum, stations rollout and capacity planning of the customer’s network.

TECH/SOLUTION, Incelligent’s suite of solutions on top of advanced big-data analytics and ML/AI for improving telecom RAN operations.

Traffic Forecasting And Smart Capacity Planning For Supporting Mobile Network Planning And Investment Decisions



Fast and accurate predictions are achieved (ranging from ~75%-85%). Mid- to long-term predictions in voice/data traffic allow for assessing the impact of traffic increase/decrease in the future required resources (spectrum and/or new stations) and drive investments decisions. Smart Capacity extension allows for profiling of cells and early identification of congestion situations.


Incelligent Development & Product Team

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