论文标题
Terahertz通信的纳米级可重构智能表面设计和性能分析
Nanoscale Reconfigurable Intelligent Surface Design and Performance Analysis for Terahertz Communications
论文作者
论文摘要
Terahertz（THZ）通信已被设想为有前途的推动者，可以为第六代（6G）无线网络提供超高的数据传输。为了解决严重衰减和THZ波衍射造成的阻塞脆弱性，开发了纳米级可重构智能表面（NRIS），以巧妙地操纵事件THZ波的传播方向。在本文中，通过揭示电导率和施加电压之间的关系来研究石墨烯的电性能，然后基于Fabry-Perot共振模型设计了电控NRI的有效硬件结构。特别是，可以对NRI的相位响应进行编程高达306.82度。为了分析硬件性能，我们共同设计了NRIS辅助THZ通信系统的被动和主动波束。特别是，开发了一种自适应梯度下降（A-GD）算法，以通过在迭代过程中动态更新步骤大小来优化NRI的相移矩阵。最后，数值结果证明了我们设计的硬件体系结构以及开发算法的有效性。
Terahertz (THz) communications have been envisioned as a promising enabler to provide ultra-high data transmission for sixth generation (6G) wireless networks. To tackle the blockage vulnerability brought by severe attenuation and poor diffraction of THz waves, a nanoscale reconfigurable intelligent surface (NRIS) is developed to smartly manipulate the propagation directions of incident THz waves. In this paper, the electric properties of the graphene are investigated by revealing the relationship between conductivity and applied voltages, and then an efficient hardware structure of electrically-controlled NRIS is designed based on Fabry-Perot resonance model. Particularly, the phase response of NRIS can be programmed up to 306.82 degrees. To analyze the hardware performance, we jointly design the passive and active beamforming for NRIS aided THz communication system. Particularly, an adaptive gradient descent (A-GD) algorithm is developed to optimize the phase shift matrix of NRIS by dynamically updating the step size during the iterative process. Finally, numerical results demonstrate the effectiveness of our designed hardware architecture as well as the developed algorithm.
