超越对角线 IRS 辅助超大规模 THz 系统:低分辨率方法

Wali Ullah Khan, Chandan Kumar Sheemar, Zaid Abdullah, Eva Lagunas, Symeon Chatzinotas
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摘要

太赫兹通信有望以无与伦比的速度彻底改变数据传输,并促进新的高带宽应用的发展。本文研究了超对角线智能可重构表面(BD-IRS)辅助下行太赫兹系统的性能。为了提高能效和降低成本,本文提出了一种联合预编码和 BD-IRS 相移设计方案,该方案满足 1 美元位分辨率约束,能最大限度地提高频谱效率。原始问题是一个非线性、NP 难和复杂耦合的问题,获得最优解具有挑战性。为了降低复杂性,我们首先将优化问题转化为两个问题,然后对它们进行迭代求解,以获得高效的解决方案。数值结果表明,与传统的对角 IRS 辅助系统相比,所提出的 BD-IRS 辅助太赫兹系统方法显著提高了光谱效率。
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Beyond Diagonal IRS Assisted Ultra Massive THz Systems: A Low Resolution Approach
The terahertz communications have the potential to revolutionize data transfer with unmatched speed and facilitate the development of new high-bandwidth applications. This paper studies the performance of downlink terahertz system assisted by beyond diagonal intelligent reconfigurable surface (BD-IRS). For enhanced energy efficiency and low cost, a joint precoding and BD-IRS phase shift design satisfying the $1$-bit resolution constraints to maximize the spectral efficiency is presented. The original problem is non-linear, NP-hard, and intricately coupled, and obtaining an optimal solution is challenging. To reduce the complexity, we first transform the optimization problem into two problems and then iteratively solve them to achieve an efficient solution. Numerical results demonstrate that the proposed approach for the BD-IRS assisted terahertz system significantly enhances the spectral efficiency compared to the conventional diagonal IRS assisted system.
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