AI 中文总结
该研究提出结合灵活智能超表面的双色散MIMO信道模型，扩展至OFDM、OTFS、AFDM波形，求解带感知约束的可达速率最大化问题，揭示FIM参数化对ISAC性能的关键影响。
AI 中文摘要
我们提出了一种结合灵活智能超表面（FIMs）的新型双色散（DD）多输入多输出（MIMO）信道模型，适用于高移动性场景下的集成感知与通信（ISAC）。我们展示了所提出的FIM参数化双色散（FPDD）信道模型如何扩展到在双色散环境中表现良好的多载波波形，即正交频分复用（OFDM）、正交时频空间（OTFS）和仿射频分复用（AFDM）。利用该模型，我们针对所有波形制定了带感知约束的可达速率最大化问题，并通过具有闭式梯度的梯度上升法求解。数值结果表明，FIM技术对可达速率有显著影响，精心的参数化对所有波形实现强大的ISAC性能至关重要。
英文摘要
We propose a novel doubly-dispersive (DD) multiple-input multiple-output (MIMO) channel model incorporating flexible intelligent metasurfaces (FIMs), suitable for integrated sensing and communications (ISAC) in high-mobility scenarios. We show how the proposed FIM-parameterized DD (FPDD) channel model extends to multicarrier waveforms known to perform well in DD environments, namely, orthogonal frequency division multiplexing (OFDM), orthogonal time frequency space (OTFS), and affine frequency division multiplexing (AFDM). Leveraging this model, we formulate an achievable rate maxi-mization problem with a sensing constraint for all waveforms and solve it via gradient ascent with closed-form gradients. Numerical results indicate that FIM technology significantly impacts the achievable rate, with careful parametrization essential for strong ISAC performance across all waveforms.
CommentsConference paper in IEEE WSA 2026
