arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2012.01891cs.ITmath.IT

稀疏子表面阵列辅助的抗阻塞毫米波通信系统

Sparse Array of Sub-surface Aided Anti-blockage mmWave Communication Systems

Weicong Chen, Xi Yang, Shi Jin, Pingping Xu

AI总结:

针对大型RIS难以整体部署的问题,提出稀疏子表面阵列SAoS架构,推导遍历频谱效率并优化各RIS tile反射系数,揭示信噪比随RIS单元数的增长规律及tile间距对可见区域覆盖的影响。

摘要:

近年来,可重构智能表面(RIS)因能够增强毫米波(mmWave)通信系统的覆盖而受到广泛关注。然而,现有研究主要将RIS视为一个完整的均匀平面,当RIS尺寸极大时,将其安装在建筑物外墙上可能并不现实。为解决这一问题,本文提出一种用于RIS的稀疏子表面阵列(SAoS)架构,该架构包含若干矩形子表面(称为RIS tile),并可对其进行稀疏部署。文中推导了SAoS辅助系统的近似遍历频谱效率,并评估了SAoS设计对性能的影响。基于该近似遍历频谱效率,得到了每个RIS tile的最优反射系数设计。分析结果表明,在强视距(LoS)和弱LoS场景下,接收信噪比分别随RIS单元数量呈二次方和线性增长。此外,本文考虑了SAoS辅助毫米波系统中的可见区域(VR)现象,发现RIS tile之间的最优距离应使SAoS的总可见区域几乎覆盖整个盲覆盖区。数值结果验证了近似遍历频谱效率的紧密性,并证明了系统具有优异性能。

英文摘要:

Recently, reconfigurable intelligent surfaces (RISs) have drawn intensive attention to enhance the coverage of millimeter wave (mmWave) communication systems. However, existing works mainly consider the RIS as a whole uniform plane, which may be unrealistic to be installed on the facade of buildings when the RIS is extreme large. To address this problem, in this paper, we propose a sparse array of sub-surface (SAoS) architecture for RIS, which contains several rectangle shaped sub-surfaces termed as RIS tiles that can be sparsely deployed. An approximated ergodic spectral efficiency of the SAoS aided system is derived and the performance impact of the SAoS design is evaluated. Based on the approximated ergodic spectral efficiency, we obtain an optimal reflection coefficient design for each RIS tile. Analytical results show that the received signal-to-noise ratios can grow quadratically and linearly to the number of RIS elements under strong and weak LoS scenarios, respectively. Furthermore, we consider the visible region (VR) phenomenon in the SAoS aided mmWave system and find that the optimal distance between RIS tiles is supposed to yield a total SAoS VR nearly covering the whole blind coverage area. The numerical results verify the tightness of the approximated ergodic spectral efficiency and demonstrate the great system performance.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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