本发明提出了一种基于智能反射面的空地移动网络携能公平通信方法,步骤如下:建立基于多无人机和智能反射面的空地移动网络架构;建立无线功率传输模型;根据无人机的动力学模型和通信模型建立无人机的能源消耗模型;利用智能反射面重构无人机和地面用户之间的信道状态,建立无线通信模型;建立公平通信模型;构建关于公平吞吐量和能源消耗的判断矩阵,确定公平加权吞吐量和能源消耗两个子目标的权重系数;建模为公平吞吐量和无人机剩余能量最大化的多目标整数非凸优化问题,通过多智能体深度强化学习求解复杂的多目标优化问题。本发明基于多智能体深度强化学习优化无人机位置和智能反射面的相位,为地面用户提供公平通信并对无人机无线充电。

    The invention provides an air-ground mobile network energy-carrying fair communication method based on an intelligent reflecting surface. The method comprises the following steps: establishing an air-ground mobile network architecture based on multiple unmanned aerial vehicles and the intelligent reflecting surface; establishing a wireless power transmission model; establishing an energy consumption model of the unmanned aerial vehicle according to the kinetic model and the communication model of the unmanned aerial vehicle; reconstructing a channel state between the unmanned aerial vehicle and a ground user by using an intelligent reflecting surface, and establishing a wireless communication model; establishing a fair communication model; constructing a judgment matrix about fair throughput and energy consumption, and determining weight coefficients of two sub-targets of fair weighted throughput and energy consumption; modeling is a multi-target integer non-convex optimization problem of fair throughput and unmanned aerial vehicle residual energy maximization, and a complex multi-target optimization problem is solved through multi-agent deep reinforcement learning. The position of the unmanned aerial vehicle and the phase of the intelligent reflecting surface are optimized based on multi-agent deep reinforcement learning, fair communication is provided for ground users, and the unmanned aerial vehicle is wirelessly charged.


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    Title :

    基于智能反射面的空地移动网络携能公平通信方法


    Publication date :

    2024-06-28


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    H04W WIRELESS COMMUNICATION NETWORKS , Drahtlose Kommunikationsnetze / B60L PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES , Antrieb von elektrisch angetriebenen Fahrzeugen / B64C AEROPLANES , Flugzeuge / B64U