论文标题
无人用的辅助且聪明的反射表面支持的Terahertz通信
UAV-Assisted and Intelligent Reflecting Surfaces-Supported Terahertz Communications
论文作者
论文摘要
在本文中，无人驾驶飞机（UAV）和智能反射表面（IRS）用于支持Terahertz（THZ）通信。 为此，研究了无人机轨迹的联合优化，IRS的相移，THZ子兰的分配以及功率控制，以最大程度地提高所有用户的最低平均可实现率。 开发了基于连续的凸近近似值的迭代算法（CAR）以获得无人机的轨迹，并将IRS相移作为封闭形式的表达式，并带有引入定价因子。 仿真结果表明，所提出的方案显着提高了整个系统的速率性能。
In this paper, unmanned aerial vehicles (UAVs) and intelligent reflective surface (IRS) are utilized to support terahertz (THz) communications. To this end, the joint optimization of UAV's trajectory, the phase shift of IRS, the allocation of THz sub-bands, and the power control is investigated to maximize the minimum average achievable rate of all the users. An iteration algorithm based on successive Convex Approximation with the Rate constraint penalty (CAR) is developed to obtain UAV's trajectory, and the IRS phase shift is formulated as a closed-form expression with introduced pricing factors. Simulation results show that the proposed scheme significantly enhances the rate performance of the whole system.
