Chunghwa Telecom and Ericsson jointly announced the introduction of AI intelligent energy-saving network solutions, through Ericsson's artificial intelligence and machine learning technology, to achieve intelligent network operation, which can save more than 30% of energy consumption and improve high temperature warning capabilities, and reduce operating costs through automation, reflecting the concrete results of the cooperation project signed by the two parties in the "Beyond 5G Memorandum of Cooperation" last year (2023).
This year, the two parties will once again work together at the Mobile World Congress 2024 to promote the commercial promotion of the latest 3GPP R18 standard and build the most advanced mobile communication services for Taiwan.
According to GSMA research, more than 40% of telecom operators around the world have set aggressive net-zero targets. In most of the world's mobile networks, the wireless access network (RAN) often accounts for more than 80% of the overall energy use due to the need to balance capacity and coverage, and if the energy efficiency of the wireless access network can be improved, it will be the key to help the mobile industry reduce carbon emissions.
Chunghwa Telecom and Ericsson have introduced intelligent energy-saving solutions, using Ericsson's advanced AI and machine learning technologies to automatically monitor and optimize increasingly complex networks, and optimize energy efficiency through big data models** network loads. With this solution, Chunghwa Telecom can save energy consumption by up to 30% without compromising the user experience, and through automated functions such as deep sleep mode, it can enter sleep mode when data is not needed, greatly reducing energy consumption, improving operational efficiency, and achieving the goal of sustainable mobile network.
Jian Zhicheng, Executive Vice President of Chunghwa Telecom and Macroeconomic Manager of Network Branch, said that the modernization of mobile networks is the key to achieving sustainable digital infrastructure and the foundation for achieving net-zero carbon emissions in society. Chunghwa Telecom is pleased to work with our long-term partner Ericsson to reduce the energy consumption of our base stations without compromising network performance through advanced AI and machine learning technologies, which will accelerate our transformation to a low-carbon future and become an international benchmark for sustainable development."
In addition, in order to improve the efficiency of network operation, Chunghwa Telecom and Ericsson have customized the Ericsson Network Intelligence-Temperature Prediction solution with strong R&D capabilities, which automatically conducts real-time on-site temperature detection every 3 to 5 minutes through temperature measurement chips, and sends notifications and alarms once any abnormal conditions are detected.
In addition, with the increasing frequency of extreme weather and high temperature weather becoming the norm, the solution can further analyze on-site temperature data through machine learning, and use AI to accurately predict the possibility of fire occurrence and complete the notification within 5 minutes, reducing personnel opportunities and property losses. Ericsson's network-wide temperature warning technology can not only reduce the number of site inspections and carbon footprint of O&M personnel, but also help reduce the impact on the environment in low- and medium-sized non-urban areas, nurture a natural environment conducive to biodiversity, and complete the common good of nature conservation and digital economy.
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