论文标题
智能反射表面辅助的Terahertz通信的总和利率最大化
Sum Rate Maximization for Intelligent Reflecting Surface Assisted Terahertz Communications
论文作者
论文摘要
在本文中，部署了智能反射表面（IRS）以协助Terahertz（THZ）通信。分子吸收导致路径损失峰出现在THZ频带中，并且褪色峰受到传输距离的极大影响。在本文中，我们旨在通过个人速率约束来最大化总和率，在该总数限制下，IRS位置，IRS相移，THZ频谱的子带的分配以及UES的功率控制的共同优化。对于带有单个子带的单用户设备（UE）的特殊情况，提供了全球最佳解决方案。对于具有多个UE的一般情况，提出了基于块坐标搜索（BCS）算法来解决非凸问题。仿真结果表明，所提出的方案可以显着提高系统性能。
In this paper, an intelligent reflecting surface (IRS) is deployed to assist the terahertz (THz) communications. The molecular absorption causes path loss peaks to appear in the THz frequency band, and the fading peak is greatly affected by the transmission distance. In this paper, we aim to maximize the sum rate with individual rate constraints, in which the IRS location, IRS phase shift, the allocation of sub-bands of the THz spectrum, and power control for UEs are jointly optimized. For the special case of a single user equipment (UE) with a single sub-band, the globally optimal solution is provided. For the general case with multiple UEs, the block coordinate searching (BCS) based algorithm is proposed to solve the non-convex problem. Simulation results show that the proposed scheme can significantly enhance system performance.
