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.

翻译：第五代及超五代蜂窝网络的功率需求是网络部署中的重要约束条件，亟需高能效解决方案。本文提出一种基于无人机搭载空中基站的新型用户负载转移方法，用于在由绿色小蜂窝基站组成的微电网中实现可靠安全的功率再分配。根据用户密度与空中基站可用性，通过将空中基站从高能小区迁移至低能小区的方式，为存在能量缺口的基站补偿其能量需求。该混合无人机框架将长短期记忆网络与基于进化神经网络的独特代价函数相结合，实现对无人机与基站能量及负载再分配的高效管理。所提算法能降低基站断电概率并保持吞吐量稳定性，从而证实其可增强无线通信系统的可靠性与鲁棒性。