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arXiv 2501.08026eess.SPcs.ITmath.IT

基于分层模式索引调制的正交延迟-多普勒分复用调制

Orthogonal Delay-Doppler Division Multiplexing Modulation with Hierarchical Mode-Based Index Modulation

Kehan Huang, Min Qiu, Jinhong Yuan

AI总结:

针对OTFS-IM检测复杂度高的问题,提出分层模式索引调制HMIM,结合ODDM构成ODDM-HMIM,在相同SE下BER和复杂度均优于传统IM,还提出适配大帧的低复杂度SIC-MMSE检测器。

摘要:

带索引调制的正交时频空(OTFS-IM)可在双选择性衰落信道中实现频谱效率(SE)与误码率(BER)的灵活权衡。尽管OTFS-IM方案已展现出此类潜力,但其检测复杂度始终是一项持续存在的挑战。为解决该问题,我们提出了分层模式索引调制(HMIM)。HMIM引入了一种通过索引调制(IM)图案调制信息比特的新方法,可显著简化高斯噪声下最大后验(MAP)估计的复杂度。此外,我们将HMIM与近期提出的正交延迟-多普勒分复用(ODDM)调制相结合,即ODDM-HMIM,以充分利用延迟-多普勒(DD)信道的全分集。我们针对采用最大似然(ML)检测器的情况分析了ODDM-HMIM的误码率性能。数值结果表明,在相同频谱效率下,HMIM在误码率和计算复杂度两方面均优于传统索引调制。此外,我们还为ODDM-HMIM提出了一种基于串行干扰消除的最小均方误差(SIC-MMSE)检测器,可在大帧尺寸下实现低复杂度检测。

英文摘要:

The orthogonal time frequency space with index modulation (OTFS-IM) offers flexible tradeoffs between spectral efficiency (SE) and bit error rate (BER) in doubly selective fading channels. While OTFS-IM schemes demonstrated such potential, a persistent challenge lies in the detection complexity. To address this problem, we propose the hierarchical mode-based index modulation (HMIM). HMIM introduces a novel approach to modulate information bits by IM patterns, significantly simplifying the complexity of maximum a posteriori (MAP) estimation with Gaussian noise. Further, we incorporate HMIM with the recently proposed orthogonal delay-Doppler division multiplexing (ODDM) modulation, namely ODDM-HMIM, to exploit the full diversity of the delay-Doppler (DD) channel. The BER performance of ODDM-HMIM is analyzed considering a maximum likelihood (ML) detector. Our numerical results reveal that, with the same SE, HMIM can outperform conventional IM in terms of both BER and computational complexity. In addition, we propose a successive interference cancellation-based minimum mean square error (SIC-MMSE) detector for ODDM-HMIM, which enables low-complexity detection with large frame sizes.

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