Traditional signal amplification methods required complex and expensive solutions that consumed a lot of energy. New 5G towers use antenna arrays, which makes things even more difficult.
Engineers proposed using artificial neural networks to analyze and correct signal distortion in an amplifier. The neural network is trained to recognize distortions and correct them in real time while consuming minimal energy.
The new approach will make it possible to create cheaper and more compact cell towers, as well as reduce energy consumption. The technology has already been tested on Fujitsu Limited equipment and has shown high efficiency.
Source: Ferra
I am a professional journalist and content creator with extensive experience writing for news websites. I currently work as an author at Gadget Onus, where I specialize in covering hot news topics. My written pieces have been published on some of the biggest media outlets around the world, including The Guardian and BBC News.
