Channel compensation based on VPS and time-frequency interferometry for massive MIMO-OFDM

Masaya Okamura, C. Ahn, T. Omori, K. Hashimoto
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Abstract

Massive MIMO has been recognized as promising ways to provide high speed data transmission. However, since the number of pilot symbol is proportionally depending on the number of transmit antenna, the total transmission rate of massive MIMO would be degraded. To solve this problem, channel estimation by virtual pilot signal (VPS) with a few pilot signals has been proposed. However, since the conventional method iteratively identifies the channel state information (CSI), the complexity is considerable work. Then again, time-frequency interferometry (TFI)-OFDM has been proposed. This method can achieve a good BER performance with a few pilot symbols. In this paper, we propose a novel channel compensation based on VPS and TFI for massive MIMO without increasing the system complexity. The proposed scheme has a low complexity, with improving BER performance to compared with the conventional method using linear interpolation and FFT/IFFT after specific operations. From the simulation results, the proposed scheme can improve BER performance to compared with the conventional method in 4 × 4 and 8 × 8MIMO systems.
基于VPS和时频干涉的大规模MIMO-OFDM信道补偿
大规模MIMO已被认为是提供高速数据传输的有前途的方法。然而,由于导频符号的数量与发射天线的数量成正比,因此会降低大规模MIMO的总传输速率。为了解决这一问题,提出了基于少量导频信号的虚拟导频信号(VPS)信道估计方法。然而,由于传统的方法是迭代地识别信道状态信息(CSI),其复杂性是相当大的。然后,提出了时频干涉法(TFI)-OFDM。该方法可以在少量导频符号的情况下获得较好的误码率。在不增加系统复杂度的前提下,提出了一种基于VPS和TFI的大规模MIMO信道补偿方法。与传统的线性插值和FFT/IFFT方法相比,该方法具有较低的复杂度,经过具体操作后,误码率性能得到了提高。仿真结果表明,在4 × 4和8 × 8MIMO系统中,与传统方法相比,该方案可以提高误码率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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