耦合与去耦可重构智能表面系统的性能分析
Performance Analysis of Systems with Coupled and Decoupled RISs
AI总结：
本文针对RIS辅助通信中的互耦问题，提出低复杂度的互耦感知算法和去耦网络方案，并证明去耦后可实现按N^4增长的超二次信道增益。
摘要：
我们分析并比较了在可重构智能表面（RIS）辅助通信系统中处理互耦的不同方法。推导了一种新的互耦感知算法，其中每个单元的阻抗以闭式解逐次更新。与现有的逐单元方法相比，该方法显著降低了计算复杂度。此外，我们引入去耦网络作为处理互耦的一种潜在解决方案。采用这些网络后，系统模型简化为与不存在互耦时相同的结构。通过引入去耦网络，我们可以闭式地优化RIS辅助单输入单输出（SISO）系统的信道增益，从而能够在互耦条件下对该场景进行解析分析，并与传统发射阵列增益建立联系。特别地，可以实现超二次信道增益，其规模按N^4增长，其中N为RIS单元数。
英文摘要：
We analyze and compare different methods for handling the mutual coupling in RIS-aided communication systems. A new mutual coupling aware algorithm is derived where the reactance of each element is updated successively with a closed-form solution. In comparison to existing element-wise methods, this approach leads to a considerably reduced computational complexity. Furthermore, we introduce decoupling networks for the RIS array as a potential solution for handling mutual coupling. With these networks, the system model reduces to the same structure as when no mutual coupling were present. Including decoupling networks, we can optimize the channel gain of a RIS-aided SISO system in closed-form which allows to analyze the scenario under mutual coupling analytically and to draw connections to the conventional transmit array gain. In particular, a super-quadratic channel gain can be achieved which scales as N^4 where N is the number of RIS elements.
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。
