AI in Mobile Radio Access Networks Gets Results, Firm Claims

Artificial intelligence will be applied to manage mobile radio access networks, it is safe to say. 

“A leading communications service provider in China achieved an 18 percent improvement in downlink throughput ratio using Capacity Turbo in a trial in Guangzhou run across a 1755 cell, 580 base station network,” says Capacity Turbo. “Capacity Turbo also enabled the same CSP to achieve an 81 percent improvement in downlink packet loss and a 22 percent improvement in uplink packet loss across the same network.”

“In another example, the CSP used Capacity Turbo to optimize VoLTE performance and achieved an 81 percent reduction in packet loss while reducing uplink packet loss by around 22 percent,” the company says.

A major CSP in Thailand was able to improve coverage as well as increase base station throughput by between 13 percent to 15 percent, the firm claims.

Also, a CSP in Spain experienced a 15 percent improvement in average user downlink throughput across an optimized 766 cell portion of its network.