  The power requirements posed by the fifth-generation and beyond cellular
networks are an important constraint in network deployment and require
energy-efficient solutions. In this work, we propose a novel user load transfer
approach using airborne base stations (BS) mounted on drones for reliable and
secure power redistribution across the micro-grid network comprising green
small cell BSs. Depending on the user density and the availability of an aerial
BS, the energy requirement of a cell with an energy deficit is accommodated by
migrating the aerial BS from a high-energy to a low-energy cell. The proposed
hybrid drone-based framework integrates long short-term memory with unique cost
functions using an evolutionary neural network for drones and BSs and
efficiently manages energy and load redistribution. The proposed algorithm
reduces power outages at BSs and maintains consistent throughput stability,
thereby demonstrating its capability to boost the reliability and robustness of
wireless communication systems.
