AI 中文总结
研究基于轨道角动量的堆叠智能超表面全息多输入多输出通信，开发相关驱动优化算法，分析模式生成与接收能力，数值评估揭示解耦关系，结果表明合适架构支持可扩展、低开销的HMIMO通信。
AI 中文摘要
本研究探讨了在辐射近场中由堆叠智能超表面（SIM）实现的基于轨道角动量（OAM）的全息多输入多输出（HMIMO）链路。通过在链路两端使用多层可编程超表面，SIM实现了用于低复杂度和节能的灵活波前合成的模拟电磁域波处理。分析了基于SIM的收发器的OAM模式生成和接收，并量化了它们在实际离散HMIMO架构中合成近正交模式的能力。进一步开发了一种相关驱动的优化算法，以最大化OAM光束的重建精度。数值评估揭示了限制支持模式阶数的所需天线孔径与控制串扰抑制的SIM层深度之间的基本解耦。结果证实，尺寸合适的SIM架构提供了强大的近场空间复用、几乎平衡的每模式容量以及跨链路距离的适度降级，而无需连续相位重新优化，从而支持可扩展和低开销的HMIMO通信。
英文摘要
This study investigates orbital angular momentum (OAM)-based holographic multiple-input multiple-output (HMIMO) links enabled by stacked intelligent metasurfaces (SIM) in the radiative near-field. By using multilayer programmable metasurfaces at both link ends, SIMs enable analog electromagnetic domain wave processing for low-complexity and energy-efficient flexible wavefront synthesis. We analyzed OAM mode generation and reception with SIM-based transceivers and quantified their ability to synthesize near-orthogonal modes in practical discrete HMIMO architectures. We further developed a correlation-driven optimization algorithm that maximizes reconstruction accuracy of OAM beams. Numerical evaluations revealed a fundamental decoupling between the required antenna aperture, which limits the supported mode orders, and the SIM layer depth, which governs crosstalk suppression. The results confirm that properly dimensioned SIM architectures provide robust near-field spatial multiplexing, nearly balanced per-mode capacities, and graceful degradation across link distances without requiring continuous phase re-optimization, thereby supporting scalable and low-overhead HMIMO communications.
CommentsThis work has been submitted to IEEE for possible publication
