Скачать или смотреть AI/ML for 5G-Energy Consumption Modelling

As we advance toward the global adoption of 5G networks, it becomes essential not only to boost their speed but also enhance their sustainability. The surge in the number of connected devices and the data explosion they induce has imposed a significant challenge on network operators: how to meet the escalating demand without skyrocketing the energy consumption.

Within this context, the energy optimization of base stations emerges as a pivotal aspect of constructing a sustainable and cost-efficient 5G network. Given the myriad factors that impact this energy consumption, having precise models that elucidate how different configurations and parameters affect energy usage is of utmost importance.

This is the juncture at which machine learning enters the picture. It potentially offers a robust tool for developing meticulous energy models and optimizing the energy consumption of the network. This challenge is designed to tackle this crucial concern, enabling participants to contribute towards crafting more energy-efficient 5G networks

Speakers
Nicola Piovesan
Senior Researcher
Huawei
Moderators:

Thomas Basikolo
Programme Officer
International Telecommunication Union (ITU)

Vishnu Ram OV
Independent Research Consultant
Consultant


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Disclaimer:
The views and opinions expressed are those of the panelists and do not reflect the official policy of the ITU.