Experimental Evaluation of UL-NOMA System Employing Correlated Receive Diversity

Masafumi Moriyama, K. Takizawa, M. Oodo, Hayato Tezuka, F. Kojima
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引用次数: 6

Abstract

The number of Internet-of-Things (IoT) devices will increase rapidly. In next generation mobile communication systems, base stations (BSs) must effectively accommodate signals from massive IoT devices. In addition, some IoT devices will require low latency communication for quasi-real-time control systems. Hence, we have proposed a low latency no-orthogonal multiple access (NOMA) uplink system named the system simultaneous transmission access boosting ultra-low-latency (STABLE). We employed successive interference cancellation (SIC) for NOMA. We have also researched a receive space diversity (SD) which combines signals in a frequency domain to enhance system reliability. This paper shows experimental results when 5 users simultaneously transmit signals to a BS. We conducted two types of experiments, using a fading emulator and in the real field. In the fading emulator experiment, we evaluated the effect of antenna correlation on SD and investigated appropriate SIR for SIC. We confirmed that SD was effective even if the correlation is 0.8 and that appropriate SIR was about 4 dB when 5 users suffered from fading. From the results of the real field experiment where 3 fixed users and 2 mobile users sent signals, we confirmed that the system without SD could decode 3.5 users’ signals in average while the SD could make the number increase up to 4.1 in average. The antenna correlation is 0.33 in the environment.
基于相关接收分集的UL-NOMA系统实验评估
物联网(IoT)设备的数量将迅速增加。在下一代移动通信系统中,基站(BSs)必须有效地容纳来自大量物联网设备的信号。此外,一些物联网设备将需要准实时控制系统的低延迟通信。因此,我们提出了一种低延迟无正交多址(NOMA)上行系统,命名为系统同步传输接入增强超低延迟(STABLE)。我们对NOMA采用了连续干扰抵消(SIC)。我们还研究了一种接收空间分集(SD)技术,该技术将信号在频域内进行组合,以提高系统的可靠性。本文给出了5个用户同时向一个基站发送信号的实验结果。我们进行了两种类型的实验,使用衰落模拟器和在实际领域。在衰落仿真实验中,我们评估了天线相关对信噪比的影响,并研究了合适的信噪比。我们确认,即使相关性为0.8,SD也是有效的,当5个用户遭受衰落时,适当的SIR约为4 dB。从3个固定用户和2个移动用户发送信号的实际现场实验结果来看,我们确认无SD的系统平均可以解码3.5个用户的信号,而SD可以使解码数量平均增加到4.1个。该环境下天线相关系数为0.33。
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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