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Cloud MIMO for Smart Parking System

机译:用于智能停车系统的Cloud MIMO

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In this paper a cloud version of distributed reception scenario is analyzed in automated parking system. A parking sensor has a single antenna transmitter sending data to a large number of geographically separated single antenna receive routers. This scenario is applicable in smart parking system (SPS) enabled by Internet of Things (IoT). We propose a new functional split, which enables multiple-input multiple-output (MIMO) detection in cloud server and non-binary low density parity check (LDPC) codes application in SPS. The proposed architecture is intended to increase the uplink performance significantly in shadowed scenario and in strong interference scenario, leading to significant battery power saving in IoT sensor. Among other things, such approach requires less expenses due to reduced routers complexity and fits in future 5G concepts of massive IoT.
机译:本文在自动泊车系统中分析了分布式接收场景的云版本。停车传感器具有单个天线发送器,可将数据发送到大量在地理位置上分离的单个天线接收路由器。此方案适用于由物联网(IoT)启用的智能停车系统(SPS)。我们提出了一个新的功能划分,该功能划分允许在云服务器中进行多输入多输出(MIMO)检测,并在SPS中实现非二进制低密度奇偶校验(LDPC)码应用。拟议的架构旨在在阴影情况下和强烈干扰情况下显着提高上行链路性能,从而在IoT传感器中显着节省电池电量。除其他事项外,由于减少了路由器的复杂性,这种方法所需的支出更少,并且适合未来的大规模物联网5G概念。

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