In recent years, the cellular industry has witnessed a major evolution in
communication technologies. It is evident that the Next Generation of cellular
networks(NGN) will play a pivotal role in the acceptance of emerging IoT
applications supporting high data rates, better Quality of Service(QoS), and
reduced latency. However, the deployment of NGN will introduce a power overhead
on the communication infrastructure. Addressing the critical energy constraints
in 5G and beyond, this study introduces an innovative load transfer method
using drone-carried airborne base stations (BSs) for stable and secure power
reallocation within a green micro-grid network. This method effectively manages
energy deficit by transferring aerial BSs from high to low-energy cells,
depending on user density and the availability of aerial BSs, optimizing power
distribution in advanced cellular networks. The complexity of the proposed
system is significantly lower as compared to existing power cable transmission
systems currently employed in powering the BSs. Furthermore, our proposed
algorithm has been shown to reduce BS power outages while requiring a minimum
number of drone exchanges. We have conducted a thorough review on real-world
dataset to prove the efficacy of our proposed approach to support BS during
high load demand times

该研究介绍了一种通过使用由无人机携带的空中基站在绿色微电网网络中稳定和安全地重新分配电力的创新负载转移方法，以解决 5G 及其后续系统中的能源限制问题，并通过优化电源分配来管理能量赤字。这个方法与当前用于为基站供电的现有电缆输电系统相比，复杂性显著较低，同时通过最小化无人机交换的数量来减少基站断电情况，实证研究数据证明了该方法在高负荷需求期间支持基站的高效性。