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
