ITU-T Recommendations

Supplement 43 to ITU-T L-series Recommendations explores how network energy-saving technologies that have emerged since the fourth generation (4G) era, e.g. carrier shutdown, channel shutdown and symbol shutdown, can be leveraged to mitigate fifth generation (5G) energy consumption. The document also analyses how enhanced technologies, e.g., deep sleep and symbol aggregation shutdown, have been developing in the 5G era. Supplement 43 to ITU-T L-series Recommendations details these fundamentals.
However, Supplement 43 to ITU-T L-series Recommendations is far from being sufficient; a revolutionized energy-saving solution should be considered. In response to the requirement for an intelligent and self-adaptive energy-saving solution, artificial intelligence (AI) and big data technology are introduced to form a more precise energy-saving strategy based on specific site traffic and other site-related conditions, thus improving the efficiency and reducing the personnel required. More details of an AI-driven smart energy-saving solution are elaborated.
Supplement 43 to ITU-T L-series Recommendations could help to achieve the most energy-efficient network with good performance and lower operating expense for mobile network operators (MNOs).