信道相关噪声下太赫兹波段数据检测性能分析

IF 4.4 3区计算机科学 Q2 TELECOMMUNICATIONS

IEEE Communications Letters Pub Date : 2025-07-07 DOI:10.1109/LCOMM.2025.3586773

Almutasem Bellah Enad;Hadi Sarieddeen;Jihad Fahs;Hakim Jemaa;Tareq Y. Al-Naffouri

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引用次数: 0

摘要

我们提出了一个综合的符号误码率（SER）分析框架，用于线性零强迫（ZF）数据检测下的链路级太赫兹（THz）波段通信系统。首先，我们在独立信道和噪声假设下推导了室内太赫兹系统的不匹配SER，计算了由ZF滤波产生的高斯噪声与$\alpha $ - $\mu $信道之比的概率密度函数。接下来，我们推导了相关信道和噪声条件下的精确SER，使用copula方法建模依赖关系。最后，我们评估了太赫兹信道中由硬件损伤引起的相关失真噪声的SER。仿真结果表明，该框架对信道噪声无关假设导致的多db SERs具有良好的校正性。

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Performance Analysis of Data Detection in the THz-Band Under Channel-Correlated Noise

We present a comprehensive symbol error rate (SER) analysis framework for link-level terahertz (THz)-band communication systems under linear zero-forcing (ZF) data detection. First, we derive the mismatched SER for indoor THz systems under independent channel and noise assumptions, calculating the probability density function of the ratio of Gaussian noise to

$\alpha $

$\mu $

channels resulting from ZF filtering. Next, we derive the precise SER under correlated channel and noise conditions, modeling dependencies using the copula method. Finally, we evaluate the SER for THz channels with correlated distortion noise from hardware impairments. Simulations demonstrate that the proposed framework corrects for multi-dB SERs resulting from the channel-noise independence assumption.

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来源期刊

IEEE Communications Letters 工程技术-电信学

CiteScore

8.10

自引率

7.30%

发文量

590

审稿时长

2.8 months

期刊介绍： The IEEE Communications Letters publishes short papers in a rapid publication cycle on advances in the state-of-the-art of communication over different media and channels including wire, underground, waveguide, optical fiber, and storage channels. Both theoretical contributions (including new techniques, concepts, and analyses) and practical contributions (including system experiments and prototypes, and new applications) are encouraged. This journal focuses on the physical layer and the link layer of communication systems.