One of the main challenges towards carbon neutrality is the expected network traffic growth. By 2025, the number of connected devices could grow close to 100 billion, and by 2030, 5G networks may be carrying up to 1,000 times more data than 4G ones did in 2018. Given this exponential rise in network traffic, and the ever-increasing requirements in terms of data volume, throughput, reliability and latency, MNOs are faced with tremendous challenges to deploy energy efficient networks.
Huawei has been working actively with solutions to save energy by optimizing network resources, such as symbol, radio frequency (RF) and carrier shutdown as well as deep dormancy and energy-aware traffic redistribution. The use of AI/ML can optimize the use of these function. It has been proven that the energy consumption can be reduced.
In this workshop we will discuss future potential solutions that can significantly improve energy efficiency. Currently, the academia and the industry discuss techniques, such as distributed MIMO, reconfigurable intelligent surfaces, non terrestrial network, heterogeneous network and backscattering.