Research on decentralized resource operation optimization of
To reduce the energy consumption of 5GBS, this article incorporates 5GBS into power demand side management and proposes a flexible resource collaborative optimization
It offered a level of adaptability and flexibility that was previously unattainable, proving that the future of 5G networks could be both powerful and sustainable. In their quest for greener 5G networks, Daniela Renga et al. in unveiled DCASM, a clever strategy to conserve energy in 5G base stations without sacrificing performance.
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.
The 3GPP defines network energy efficiency as the amount of data transmitted per unit of energy consumed, measured in bits per Joule (bit/J). A higher bit/J value signifies greater energy efficiency. 5G RAN, depicted in Figure 1, has substantial potential for energy savings and has become a focal point for research.
Notably, China, Korea, and the US are vigorously engaged in this field, specifically related to the 5G network. This review paper identifies the possible potential solutions for reducing the energy consumption of the networks and discusses the challenges so that more accurate and valid measures could be designed for future research.
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