论文标题

宽带THZ可重新配置的智能表面通信的波束形成分析和设计

Beamforming Analysis and Design for Wideband THz Reconfigurable Intelligent Surface Communications

论文作者

Yan, Wencai, Hao, Wanming, Huang, Chongwen, Sun, Gangcan, Muta, Osamu, Gacanin, Haris, Yuen, Chau

论文摘要

可重构智能表面(RIS)辅助的Terahertz(THZ)通信被认为是未来6G网络的有前途的候选人,因为其超宽带宽和超低功耗。但是,存在横梁拆分问题,尤其是当基站(BS)或RIS拥有大型天线时,这可能会导致严重的阵列增益损失。因此,在本文中,我们研究了THZ RIS通信中的光束拆分和横梁形成设计问题。具体而言,我们首先分析由不同的RIS大小,形状和部署引起的光束拆分效应。在此基础上,我们将BS上的完全连接的时间延迟相位变速器相变杂交架构并部署分布式RISS来合作减轻光束拆分效果。我们的目标是通过共同优化混合模拟/数字波束成形,BS的时间延迟以及RISS的反射系数来最大化可实现的总和速率。为了解决公式的问题,我们首先根据不同的物理方向设计模拟波束成形和时间延迟,然后通过共同优化数字波束成形和反射系数将其转化为优化问题。接下来,我们提出了一种迭代优化算法来处理它。具体而言,对于给定反射系数,我们根据最小平方误差技术提出了一种迭代算法,以获得数字波束成形。之后,我们应用LDR和MCQT方法将原始问题转换为QCQP,可以通过ADMM技术来求解以获得反射系数。最后,通过重复上述过程直至收敛来获得数字波束形成和反射系数。仿真结果验证了所提出的方案可以有效地减轻梁的分裂效果并改善系统容量。

Reconfigurable intelligent surface (RIS)-aided terahertz (THz) communications have been regarded as a promising candidate for future 6G networks because of its ultra-wide bandwidth and ultra-low power consumption. However, there exists the beam split problem, especially when the base station (BS) or RIS owns the large-scale antennas, which may lead to serious array gain loss. Therefore, in this paper, we investigate the beam split and beamforming design problems in the THz RIS communications. Specifically, we first analyze the beam split effect caused by different RIS sizes, shapes and deployments. On this basis, we apply the fully connected time delayer phase shifter hybrid beamforming architecture at the BS and deploy distributed RISs to cooperatively mitigate the beam split effect. We aim to maximize the achievable sum rate by jointly optimizing the hybrid analog/digital beamforming, time delays at the BS and reflection coefficients at the RISs. To solve the formulated problem, we first design the analog beamforming and time delays based on different RISs physical directions, and then it is transformed into an optimization problem by jointly optimizing the digital beamforming and reflection coefficients. Next, we propose an alternatively iterative optimization algorithm to deal with it. Specifically, for given the reflection coefficients, we propose an iterative algorithm based on the minimum mean square error technique to obtain the digital beamforming. After, we apply LDR and MCQT methods to transform the original problem to a QCQP, which can be solved by ADMM technique to obtain the reflection coefficients. Finally, the digital beamforming and reflection coefficients are obtained via repeating the above processes until convergence. Simulation results verify that the proposed scheme can effectively alleviate the beam split effect and improve the system capacity.

扫码加入交流群

加入微信交流群

微信交流群二维码

扫码加入学术交流群,获取更多资源