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arXiv 2407.08087eess.SP
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通过无组合检测实现大规模索引调制系统

Enabling Massive Index Modulation Systems via Combinatorics-Free Detection

Hyeon Seok Rou, Giuseppe Thadeu Freitas de Abreu, Takumi Takahashi, David González G., Osvaldo Gonsa

AI总结:

针对大规模索引调制组合检测复杂度过高的问题,提出基于高斯置信传播框架和单位向量分解的低复杂度MP解码器,性能逼近最优搜索方法。

摘要:

索引调制(IM)是超越第五代(B5G)和第六代(6G)无线系统的关键使能技术之一,因通过在信号传输期间利用的资源索引来传递信息而具有固有的能量和频谱效率,从而备受关注。然而,大规模IM面临的一个关键瓶颈是其随之产生的不可行的组合阶数检测复杂度。因此,为了在大规模场景中最大限度地发挥IM的优势,本文提出了一种新颖的消息传递(MP)解码器,该解码器在高斯置信传播(GaBP)框架下设计,利用IM信号的新颖单位向量分解(UVD)以及专门推导的新颖概率分布。所提方法具有低解码复杂度,且独立于此前难以处理的组合因子,同时仍能逼近不可行的最先进(SotA)基于搜索的方法的性能。通过对真正大规模(高达96根天线)的示例性导频广义正交空间调制(GQSM)系统进行复杂度分析和数值结果,证明了所提方法的有效性。

英文摘要:

Index modulation (IM) is one of the key enabling technologies for beyond fifth generation (B5G) and sixth generation (6G) wireless systems, attracting attention for its inherent energy and spectral efficiency resulting from conveying information through the indexation of the resources utilized in during signal transmission. However, a remaining critical bottleneck for large-scale IM is the consequently infeasible detection complexity of combinatoric order. Therefore in this article, in order to maximally reap the advantages of IM in large scenarios, we propose a novel message passing (MP) decoder designed under the Gaussian belief propagation (GaBP) framework exploiting a novel unit vector decomposition (UVD) of IM signals with purpose-derived novel probability distributions. The proposed method enjoys a low decoding complexity that is independent of previously prohibitive combinatorial factors, while still approach-ing the performance of unfeasible state-of-the-art (SotA) search-based methods. The effectiveness of the proposed approach is demonstrated via complexity analysis and numerical results for the exemplary piloted generalized quadrature spatial modulation (GQSM) systems of truly massive sizes (up to 96 antennas).

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