发表机构
INATEL（INATEL）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本文针对噪声调制同信道用户干扰问题，提出流体天线多址技术（FAMA），推导相关检测方法与误码率表达式，验证其可增加同信道用户容量，为快速FAMA感知难度提供下界警告。
AI 中文摘要
噪声调制（NoiseMod）将信息编码在类噪声波形的方差中，其非相干结构可实现低复杂度链路，但同信道用户面临挑战，因为干扰会影响检测所用的同一方差统计量。本文研究用于两级噪声调制的流体天线多址技术（FAMA），其中每个干扰源具有独立的随机比特，产生两种可能的非零干扰方差。我们采用此前噪声调制/ TNM工作中的精确有限样本最大似然能量检测方法。推导了包含异构用户功率的随机比特聚合干扰的精确单端口矩生成函数和矩，证明使条件误码率（BEP）最小的端口为argmax_k H_k/(σ_w²+J_k)，其中H_k是期望链路功率，J_k是瞬时比特状态感知干扰方差。对于独立衰落端口，公共干扰源比特向量耦合各端口决策指标；以高状态干扰源数量为条件，得到精确的二项混合顺序统计量表示，避免了通常无效的规则F_{Z_max}=F_Z^{N_p}。对于空间相关操作，整数μ的κ-μ基准采用散射场中的全成对Jakes相关性，通过条件蒙特卡洛评估信道平均误码率（BEP）。一项感知误差负载研究表明，随着空间自由度的增加，可允许的同信道用户数量增多。最后，有限样本方差域感知诊断量化了冻结信道和干扰源状态下的先知差距，为快速FAMA感知难度提供下界警告，而非可部署的采集协议。
英文摘要
Noise modulation (NoiseMod) encodes information in the variance of a noise-like waveform. Its noncoherent structure enables low-complexity links, but co-channel users are challenging because interference affects the same variance statistic used for detection. We study fluid antenna multiple access (FAMA) for two-level NoiseMod with independent random bits from each interferer, producing two possible nonzero interference variances. We adopt exact finite-sample maximum-likelihood energy detection from prior NoiseMod/TNM work. We derive the exact single-port moment-generating function and moments of the random-bit aggregate interference, including heterogeneous user powers, and prove that the port minimizing conditional BEP is $\arg\max_k H_k/(σ_w^2+J_k)$, where $H_k$ is desired-link power and $J_k$ is instantaneous bit-state-aware interference variance. For independent fading ports, the common interferer-bit vector couples per-port decision metrics; conditioning on the number of high-state interferers yields an exact binomial-mixture order-statistic representation and avoids the generally invalid rule $F_{Z_{\max}}=F_Z^{N_p}$. For spatially correlated operation, an integer-$μ$ $κ$-$μ$ benchmark uses full pairwise Jakes correlation in scattered fields, with channel-averaged BEP evaluated by conditional Monte Carlo. A standard-error-aware load study shows increased admissible co-channel users as spatial degrees of freedom grow. Finally, a finite-sample variance-domain sensing diagnostic quantifies the oracle gap under frozen channels and interferer states, providing a lower-bound warning on fast-FAMA sensing difficulty rather than a deployable acquisition protocol.
