Dakar Hybrid Energy and 5g Base Station Cooperation

What is a cooperative sleep and energy-sharing strategy for 5G BSMG systems?

This paper proposes a cooperative sleep and energy-sharing strategy for heterogeneous 5G base station microgrid (BSMG) systems, utilizing deep learning and an improved multi-objective evolutionary algorithm based on decomposition (MOEA/D). We present a reference scenario for a 5G BSMG system comprising a central and sub-base station microgrid.

How can a 5G network reduce the environmental burden?

The integration of sustainable renewable energy sources, such as solar and wind power, can significantly reduce the electricity costs and carbon emissions associated with base stations in 5G networks. However, it is difficult for traditional power grids to fully accommodate green energy, thus exacerbating the environmental burden [7, 8, 9].

What is a 5G BSMG system?

We present a reference scenario for a 5G BSMG system comprising a central and sub-base station microgrid. A prediction model was developed, integrating a convolutional neural network with a dual attention mechanism and bidirectional long short-term memory to determine the operational status of BSMGs.

How to evaluate a 5G energy-optimised network?

To properly examine an energy-optimised network, it is very crucial to select the most suitable EE metric for 5G networks. EE is the ratio of transmitted bits for every joule of energy expended. Therefore, while measuring it, different perspectives need to be considered such as from the network or user’s point of view.