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Improving latency and reliability in 5G Internet-of-Things networks

机译:改善5G物联网网络的延迟和可靠性

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The transmission from the IoT terminals to a cellular base station (BS) about the state of critical infrastructure such as Smart Grid requires high reliability and low latency. The combination of massive multiple-input-multiple-output (M-MIMO) and spatial modulation (SM) systems, referred to as massive SMMIMO systems, has been proposed in 5G cellular networks to support these transmissions. Building a practical massive SMMIMO system is very challenging due to the complexity and latency of BS detection schemes, often ignored in theoretical studies. In this paper we develop low-complexity low-latency massive SM-MIMO detection schemes that are validated in real wireless environment by using software defined radio (SDR) platforms. Our experiments indicate significant out-performances in term of latency and signal-interference-plus-noise ratio with respect to other schemes in the literature.
机译:关于诸如智能电网的关键基础设施的状态的来自物联网终端到蜂窝基站(BS)的传输需要高可靠性和低延迟。大规模多输入多输出(M-MIMO)和空间调制(SM)系统的组合已提出在5G蜂窝网络中提出了大量SMMIMO系统,以支持这些变速器。建立一个实用的大规模SMMIMO系统由于BS检测方案的复杂性和延迟,通常忽视理论研究。在本文中,我们通过使用软件定义的无线电(SDR)平台,开发出在真实无线环境中验证的低复杂性低延迟的大规模SM-MIMO检测方案。我们的实验表明了在文献中的其他方案相对于其他方案的潜伏期和信号干扰的术语显着的出现。

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