新一代太赫兹无线通信系统的分数间隔均衡器

Qiaoyang Ye, Joonyoung Cho, Jeongho Jeon, S. Abu-Surra, Kitaek Bae, Jianzhong Zhang
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引用次数: 4

摘要

为了支持无线通信的指数级增长,需要更高的数据速率,从而推动第六代(6G)通信传输带宽的扩展。太赫兹(THz)频段的可用带宽大大超过第五代(5G)系统中采用的毫米波频段的可用带宽;因此,太赫兹频段被设想为6G系统的支柱,可以支持每秒太比特(Tb/s)数量级的数据速率。然而,太赫兹波段的无线通信提出了几个新的挑战。其中一个挑战涉及使用有限过采样因子来处理宽带太赫兹信号的实际限制,即使在利用最先进的模拟/数字转换器技术时也是如此。当与传统的符号间隔均衡器结合使用时,这种有限的过采样因子会导致采样时间偏移增加,从而降低解调性能。因此,我们在太赫兹通信系统中采用分数间隔均衡器(FSE)来克服采样时间偏移增加对利用有限采样率的实际系统的影响。分析和仿真结果表明,FSE可以通过对现有采样的优化组合,很好地补偿时序偏移。同时,提出了噪声协方差矩阵的近似方法来降低频域FSE的计算复杂度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fractionally Spaced Equalizer for Next Generation Terahertz Wireless Communication Systems
Higher data rates are required to support exponential growth in wireless traffic, motivating an expansion of the transmission bandwidth for sixth generation (6G) communications. The available bandwidth in the terahertz (THz) band significantly exceeds the available bandwidth in the mmWave band that has been adopted in fifth generation (5G) systems; thus, the THz band is envisioned as a pillar for 6G systems that can support data rates on the order of terabits per second (Tb/s). However, wireless communications in the THz band poses several new challenges. One of these challenges involves the practical constraint of employing a limited oversampling factor to process wideband THz signals, even while leveraging state-of-the-art analog/digital converter techniques. This limited oversampling factor – which can lead to an increased sampling timing offset – degrades the demodulation performance when it is employed in conjunction with a conventional symbol-spaced equalizer. Thus, we employ a fractionally spaced equalizer (FSE) in a THz communication system to overcome the impact of the increased sampling timing offset for a practical system that utilizes a limited sampling rate. Analysis and simulations demonstrate that the FSE can perfectly compensate the timing offset by optimally combining the available samples. Also, an approximation to the noise covariance matrix is proposed to reduce the computational complexity of the frequency-domain FSE.
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