Automating MIMO energy management with Machine Learning and AI
AI helps reduce energy consumption cost
Today's mobile customers want to stream and share content with the world – and they don't want to wait. With 27EB of data being used across 6 billion mobile subscriptions per month, additional hardware is needed for networks to keep up with increasing user demands. However, running additional radios at cell site locations takes time, money and electricity.
What if a software module powered by a Machine Learning (ML) algorithm, could solve this problem by putting radio transmitters into a power-saving Sleep Mode when user traffic falls below a certain level, and then re-activating them when traffic surges, automatically?