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：第五代及未来蜂窝网络的电力需求是网络部署的重要约束条件，亟需能效解决方案。本文提出一种基于空中基站（搭载于无人机的基站）的新型用户负载转移方法，用于实现由绿色小型蜂窝基站组成的微电网中可靠且安全的电力再分配。根据不同区域的用户密度及空中基站的可用性，能量短缺小区的能量需求通过将空中基站从高能小区迁移至低能小区来满足。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成本函数相结合，用于无人机与基站的能量和负载再分配管理。所提算法可减少基站断电次数并维持稳定的吞吐量，从而展示其提升无线通信系统可靠性与鲁棒性的能力。