Case Studies

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

Greek Telecom Operator

Insight

Case Study Details

CHALLENGE

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

INSIGHT

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

RAN.ai, 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

Incelligent

DESCRIPTION WHAT WE HAVE DONE/ACHIEVED

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.

PARTNERS/TEAM

Incelligent Development & Product Team

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