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Statistical Analysis of 5G Channel Propagation using MIMO and Massive MIMO Technologies

机译:使用MIMO和MATHALIVE MIMO技术统计分析5G通道传播

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Multiple Input Multiple Output (MIMO) and massive MIMO technologies play a significant role in mitigating five generation (5G) channel propagation impairments. These impairments increase as frequency increases, and they become worse at millimeter-waves (mmWaves). They include difficulties of material penetration, Line-of-Sight (LoS) inflexibility, small cell coverage, weather circumstances, etc. This paper simulates the 5G channel at the E-band frequency using the Monte Carlo approach-based NYUSIM tool. The urban microcell (UMi) is the communication environment of this simulation. Both MIMO and massive MIMO use uniformly spaced rectangular antenna arrays (URA). This study investigates the effects of MIMO and massive MIMO on LoS and Non-LoS (NLoS) environments. The simulations considered directional and omnidirectional antennas, the Power Delay Profile (PDP), Root Mean Square (RMS) delay spread, and small-scale PDP for both LoS and NLoS environments. As expected, the wide variety of the results showed that the massive MIMO antenna outperforms the MIMO antenna, especially in terms of the signal power received at the end-user and for longer path lengths.
机译:多输入多输出(MIMO)和大规模的MIMO技术在缓解五代(5G)信道传播损伤方面发挥着重要作用。随着频率的增加,这些损伤增加,它们在毫米波(MMWaves)变得更糟。它们包括材料渗透,视线(LOS)不灵活性,小电池覆盖率,天气情况等困难。本文使用基于Monte Carlo方法的NYUSIM工具模拟了E带频率的5G通道。城市微电池(UMI)是该模拟的通信环境。 MIMO和MIMMOM MIMO都使用均匀间隔的矩形天线阵列(URA)。本研究调查了MIMO和大规模MIMO对LOS和非LOS(NLOS)环境的影响。模拟被视为定向和全向天线,功率延迟配置文件(PDP),均方根(RMS)延迟扩展以及用于LOS和NLOS环境的小规模PDP。如预期的那样,各种各样的结果表明,大规模的MIMO天线优于MIMO天线,尤其是在最终用户处接收的信号功率和更长的路径长度而言。

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