发表机构
Department of Electrical and Electronics Engineering, Faculty of Engineering and Architecture, Istanbul Nisantasi University（伊斯坦布尔尼桑塔西大学工程与建筑学院电气电子工程系）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本文提出噪声域OTFS（ND-OTFS），利用随机DD域向量的协方差编码信息，补充确定性OTFS，在相同平均能量下仍可恢复信息，但牺牲延迟和速率。
AI 中文摘要
正交时频空间（OTFS）通常通过在延迟-多普勒（DD）网格上放置确定性星座符号来传递信息。本文提出了一种不同的观点，称为“噪声域OTFS”（ND-OTFS），其中每个消息选择随机DD域向量的协方差。由此产生的统计码字可以通过逐仓方差、等能量相关结构或可分离的DD协方差来编码信息。我们解释了收发信机原理、接收机影响、可靠性-速率权衡以及实际挑战。代表性结果表明，匹配负载的相干OTFS参考在原始可靠性方面保持明显优势，而ND-OTFS即使在竞争状态具有相同平均能量时，也能从协方差几何中恢复信息。额外的统计观测以延迟和速率为代价减少了有限样本重叠。因此，ND-OTFS通过引入跨DD资源的矩阵值统计信号维度，补充而非取代确定性OTFS。
英文摘要
Orthogonal time frequency space (OTFS) usually conveys information through deterministic constellation symbols placed on a delay--Doppler (DD) grid. This article develops a different viewpoint, termed \emph{noise-domain OTFS} (ND-OTFS), in which each message selects the covariance of a random DD-domain vector. The resulting statistical codeword can encode information through per-bin variance, equal-energy correlation structure, or separable DD covariance. We explain the transceiver principle, receiver implications, reliability--rate tradeoffs, and practical challenges. Representative results show that a matched-payload coherent OTFS reference retains a clear raw-reliability advantage, whereas ND-OTFS enables information recovery from covariance geometry even when competing states have identical average energy. Additional statistical observations reduce finite-sample overlap at the cost of latency and rate. ND-OTFS therefore complements, rather than replaces, deterministic OTFS by introducing a matrix-valued statistical signaling dimension across DD resources.
Comments6 pages 4 figures
