“Ericsson’s advanced 5G solutions align perfectly with our commitment to reducing carbon emissions and enhancing network efficiency,” said Dr. Chung Yung Chia, Vice President of Network Technology Group at Chunghwa Telecom. “This partnership exemplifies our dedication to advancing our 5G network capabilities and to achieving our new Net Zero targets of 2045, which was just validated by SBTi.”

This contract covers a full range of Ericsson 5G RAN portfolio, including ultralight remote radios like the dual-band Radio 4490HP, which offers an estimated 54 percent reduction in embodied carbon footprint and over 40 percent lower energy usage compared to legacy products. The new radios enhance multi-band capacity, uplink performance, and energy efficiency, ensuring a sustainable and future-ready network.

Chunghwa Telecom will also benefit from Ericsson AI Intelligent RAN power saving, part of the Service Continuity offering that uses advanced AI and machine learning technologies to reduce energy consumption without impacting network performance. This AI-driven solution automates the monitoring and optimization of complex networks to predict network load and optimize energy efficiency.

Additionally, Ericsson’s Site Digital Twin is a pivotal component of this modernization effort, offering enhanced digital engineering and asset lifecycle management based on open standards. This solution provides a highly enriched digital twin of the site and network, facilitating faster and more automated design and deployment.

David Chou, President at Ericsson, commented, “Our shared goal with Chunghwa Telecom is to achieve Net Zero while addressing the growing demand on mobile networks. With our partnership with Chunghwa Telecom and Ericsson’s advanced 5G solutions, we are demonstrating that it’s possible to scale up 5G capabilities while improving network energy performance and breaking the energy curve.”

This contract follows the MoU signed at Mobile World Congress 2024, where Chunghwa Telecom and Ericsson committed to advancing 5G-Advanced technology with a focus on AI-driven energy savings, intelligent network operations and automation.