论文标题

无细胞的大型MIMO-OFDM用于高速火车通信

Cell-Free Massive MIMO-OFDM for High-Speed Train Communications

论文作者

Zheng, Jiakang, Zhang, Jiayi, Björnson, Emil, Li, Zhetao, Ai, Bo

论文摘要

由于细胞边界消失和强大的宏观多样性,无细胞(CF)巨大的多输入多输出(MIMO)系统在低型动作场景中显示出巨大的潜力。但是,大多普勒频率偏移(DFO)导致正交频施加多路复用(OFDM)技术的严重干扰,这使得很难为高速训练(HST)操作控制系统和客人提供高质量的传输。在本文中,我们专注于CF大规模MIMO-OFDM系统的性能,这些系统具有完全集中和局部最小平方误差(MMSE)在HST通信中的组合。考虑到局部最大比率(MR)组合,大规模褪色解码(LSFD)合作以及DFO对系统性能的实际效果,因此得出了上行链路频谱效率(SE)表达式的精确封闭形式表达式。我们观察到,合作的MMSE相结合比不合作的MR组合取得了更好的SE性能。此外,与SE相比,比较了与小细胞和细胞大量MIMO-OFDM系统的HST通信。数值结果表明,与其他系统相比,CF大量MIMO-OFDM系统的SE更大,更均匀。最后,以火车为中心的天线(中心)CF大规模MIMO-OFDM系统设计用于在HST通信中实施,并采用了三种功率控制方案来优化TAS的传播以减少DFO的影响。

Cell-free (CF) massive multiple-input multiple-output (MIMO) systems show great potentials in low-mobility scenarios, due to cell boundary disappearance and strong macro diversity. However, the great Doppler frequency offset (DFO) leads to serious inter-carrier interference in orthogonal frequency division multiplexing (OFDM) technology, which makes it difficult to provide high-quality transmissions for both high-speed train (HST) operation control systems and passengers. In this paper, we focus on the performance of CF massive MIMO-OFDM systems with both fully centralized and local minimum mean square error (MMSE) combining in HST communications. Considering the local maximum ratio (MR) combining, the large-scale fading decoding (LSFD) cooperation and the practical effect of DFO on system performance, exact closed-form expressions for uplink spectral efficiency (SE) expressions are derived. We observe that cooperative MMSE combining achieves better SE performance than uncooperative MR combining. In addition, HST communications with small cell and cellular massive MIMO-OFDM systems are compared in terms of SE. Numerical results reveal that the CF massive MIMO-OFDM system achieves a larger and more uniform SE than the other systems. Finally, the train antenna centric (TA-centric) CF massive MIMO-OFDM system is designed for practical implementation in HST communications, and three power control schemes are adopted to optimize the propagation of TAs for reducing the impact of the DFO.

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