Advertisement
Top
image credit: Vecteezy

Can neural networks enable natural network evolution without cyclical air interface updates?

June 29, 2021

Category:

The evolution of cellular networks follows a fairly predictable cycle of R&D, standardization, application of standards to new equipment, deployment of that equipment, and repeat. But Qualcomm’s Tingfang Ji, Senior Director of engineering, is studying a future where neural networks could potentially replace the approximately18-month air interface upgrade process allowing a kind of natural evolutionary improvement arc.

Speaking to RCR Wireless News, Ji noted the important role of machine learning in many areas including telecommunications, enhancing the interface between device and network and within the network infrastructure.

Read More on RCR Wireless News