Energy-Efficient Trajectory Design of a Multi-IRS Assisted Portable Access Point
Energy-Efficient Trajectory Design of a Multi-IRS Assisted Portable Access Point
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DOI：
10.1109/tvt.2022.3202953
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发表时间：
2022-09
影响因子：
6.8
通讯作者：
N. Babu;M. Virgili;M. Al-jarrah;Xiaoye Jing;E. Alsusa;P. Popovski;Andrew J. Forsyth;C. Masouros;C. Papadias
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文献类型：
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作者：
N. Babu;M. Virgili;M. Al-jarrah;Xiaoye Jing;E. Alsusa;P. Popovski;Andrew J. Forsyth;C. Masouros;C. Papadias
在本文中，我们提出了一种基于无人机（UAV）的便携式接入点（PAP）的节能轨迹设计框架，用于为一组地面节点（gn）服务。除了PAP和GNs外，该系统还包括一组安装在人造结构上的智能反射面（IRSs），以增加每焦耳消耗的能量传输的比特数，以测量全球能源效率（GEE）。考虑无人机推进能量消耗和PAP电池的Peukert效应，设计了PAP的GEE轨迹，将电池放电曲线作为无人机功率消耗曲线的非线性函数表示为精确的电池放电曲线。该方法分两个阶段进行轨道设计：第一阶段，采用多层圆填充法确定了极坐标路径和IRS模块的可行位置，并采用考虑IRS单元幅相响应相互依赖关系的备选优化方法计算了所需IRS相移值；在第二阶段，采用一种新的多圈轨迹设计算法，计算了PAP的飞行速度和用户调度。数值计算表明：忽略Peukert效应高估了PAP的有效飞行时间；在达到一定阈值后，增大电池尺寸会降低PAP的可用飞行时间；与其他基线情景相比，IRS模块的存在改善了系统的GEE；与使用顺序凸规划和Dinkelbach算法相结合开发的单圈轨迹相比，多圈轨迹节省了更多的能量。
In this article, we propose a framework for energy efficient trajectory design of an unmanned aerial vehicle (UAV)-based portable access point (PAP) deployed to serve a set of ground nodes (GNs). In addition to the PAP and GNs, the system consists of a set of intelligent reflecting surfaces (IRSs) mounted on man-made structures to increase the number of bits transmitted per Joule of energy consumed measured as the global energy efficiency (GEE). The GEE trajectory for the PAP is designed by considering the UAV propulsion energy consumption and the Peukert effect of the PAP battery, which represents an accurate battery discharge profile as a non-linear function of the UAV power consumption profile. The GEE trajectory design problem is solved in two phases: in the first, a path for the PAP and feasible positions for the IRS modules are found using a multi-tier circle packing method, and the required IRS phase shift values are calculated using an alternate optimization method that considers the interdependence between the amplitude and phase responses of an IRS element; in the second phase, the PAP flying velocity and user scheduling are calculated using a novel multi-lap trajectory design algorithm. Numerical evaluations show that: neglecting the Peukert effect overestimates the available flight time of the PAP; after a certain threshold, increasing the battery size reduces the available flight time of the PAP; the presence of IRS modules improves the GEE of the system compared to other baseline scenarios; the multi-lap trajectory saves more energy compared to a single-lap trajectory developed using a combination of sequential convex programming and Dinkelbach algorithm.