Drone-Enabled Load Management for Solar Small Cell Networks in Next-Gen
  Communications Optimization for Solar Small Cells
Daksh Dave Dhruv Khut Sahil Nawale Pushkar Aggrawal Disha Rastogi Kailas Devadkar
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