Nowadays, Unmanned Aerial Vehicles (UAVs) have been significantly improved, and one of their most important applications is to provide temporary coverage for cellular users. Static Base Station cannot service all users due to temporary crashes because of temporary events such as ground BS breakdowns, bad weather conditions, natural disasters, transmission errors, etc., drones equipped with small cellular BS. The Drone Base Station is immediately sent to the target location and establishes the necessary communication links without requiring any predetermined infrastructure and covers that area. Finding the optimal location and the appropriate number (DBS) of drone-BS in this area is a challenge. Therefore, in this paper, the optimal location and optimal number of DBSs are distributed in the current state of the users and the subsequent user states determined by the prediction. Finally, the DBS transition is optimized from the current state to the predicted future locations. The simulation results show that the proposed method can provide acceptable coverage on the network.
翻译:目前,无人驾驶航空飞行器(无人驾驶飞行器)已大为改善,其最重要的应用之一是为蜂窝用户提供临时覆盖。由于地面BS故障、恶劣天气状况、自然灾害、传输错误等临时事件以及配备小细胞BS的无人驾驶飞行器(无人驾驶飞行器)等临时事件,静态基地站无法为所有用户提供服务。Drone基地站立即被送至目标地点,并建立了必要的通信连接,而不需要任何预先确定的基础设施和覆盖该地区。在该地区寻找无人驾驶航空器-BS的最佳位置和适当数量(DBS)是一个挑战。因此,在本文件中,DBS的最佳位置和最佳数量是按用户的目前状况和预测所确定的随后的用户状态分配的。最后,DBS过渡从目前状态优化到预测的未来位置。模拟结果表明,拟议的方法可以在网络上提供可接受的覆盖。