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Performance Analysis of Dual-Polarized Massive MIMO System with Human-Care IoT Devices for Cellular Networks

机译:蜂窝式物联网设备双极化大规模MIMO系统的性能分析

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The performance analysis of the dual-polarized massive multiple-input multiple-output (MIMO) system with Internet of things (IoT) devices is studied when outdoor human-care IoT devices are connected to a cellular network via a dual-polarized massive MIMO system. The research background of the performance analysis of dual-polarized massive MIMO system with IoT devices is that recently the data usage of outdoor human-care IoT devices has increased. Therefore, the outdoor human-care IoT devices are necessary to connect with 5G cellular networks which can expect 1000 times higher performance compared with 4G cellular networks. Moreover, in order to guarantee the safety of the patient for emergency cases, a human-care Iot device must be connected to cellular networks which offer more stable communication for outdoors compared to short-range communication technologies such as Wi-Fi, Zigbee, and Bluetooth. To analyze the performance of the dual-polarized massive MIMO system for human-care IoT devices, a dual-polarized MIMO spatial channel model (SCM) is proposed which considers depolarization effect between the dual-polarized transmit-antennas and the receive-antennas. The simulation results show that the performance of the dual-polarized massive MIMO system is improved about 16% to 92% for 20 to 150 IoT devices compared to conventional single-polarized massive MIMO system for identical size of the transmit array.
机译:当室外人类护理物联网设备通过双极化大规模MIMO系统连接到蜂窝网络时,研究了带有物联网(IoT)设备的双极化大规模多输入多输出(MIMO)系统的性能分析。具有物联网设备的双极化大规模MIMO系统性能分析的研究背景是,近来户外护理物联网设备的数据使用量有所增加。因此,户外人类护理物联网设备是连接5G蜂窝网络所必需的,而5G蜂窝网络的性能有望比4G蜂窝网络高1000倍。此外,为了保证患者在紧急情况下的安全,必须将人工护理物联网设备连接到蜂窝网络,与短距离通信技术(例如Wi-Fi,Zigbee和蓝牙。为了分析用于人类护理物联网设备的双极化大规模MIMO系统的性能,提出了一种双极化MIMO空间信道模型(SCM),该模型考虑了双极化发射天线和接收天线之间的去极化效应。仿真结果表明,对于相同大小的发射阵列,与传统的单极化大规模MIMO系统相比,对于20至150个IoT设备,双极化大规模MIMO系统的性能提高了约16%至92%。

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  • 来源
    《Journal of Sensors》 |2018年第1期|共页
  • 作者

    Jun-Ki Hong;

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  • 中图分类 TP212;
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