In this letter, 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 are investigated to maximize the minimum average achievable rate of all 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.

中文翻译：

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无人机辅助和智能反射面支持的太赫兹通信

在这封信中，无人机 (UAV) 和智能反射面 (IRS) 用于支持太赫兹 (THz) 通信。为此，研究了无人机轨迹的联合优化、IRS的相移、太赫兹子带的分配和功率控制，以最大化所有用户的最小平均可达到速率。开发了一种基于具有速率约束惩罚（CAR）的连续凸逼近的迭代算法来获得无人机的轨迹，并将 IRS 相移公式化为一个封闭形式的表达式，其中引入了定价因素。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。