论文标题
在具有较大阵列的反光和沉重的工业环境中褪色
Fading in reflective and heavily shadowed industrial environments with large arrays
论文作者
论文摘要
5G系统及以后的用例之一是超级可靠性的低延迟通信(URLLC)。 URLLC的启用技术是大量的多输入多输出(MIMO),由于用户分离,阵列增益和通道硬化效果的提高,可以提高可靠性。在3.7 GHz的运营工厂环境中进行了测量,并具有共同介绍的大型MIMO阵列和独特的随机分布阵列。当天线的数量增加时,便会出现通道硬化,从而减少通道增益(小尺度褪色)的变化,并且在此处进行量化。然后,通道增长的累积分布函数(CDF)变得更陡,其尾巴降低。对此CDF进行建模,并量化所需的褪色边缘。通过部署分布式阵列,也可以降低大规模功率变化,从而进一步提高可靠性。在这个丰富的散射环境中,大型阵列在接近独立分布的(i.i.d.)复杂的高斯通道时创建了一个更可靠的通道,这表明可以根据例如渠道编码和重新传输策略,以减少延迟。总而言之,大规模的MIMO是一项非常有趣的技术,可以在反射性和沉重的工业环境中可靠的连通性。
One of the use cases for 5G systems and beyond is ultra-reliability low-latency communication (URLLC). An enabling technology for URLLC is massive multiple-input multiple-output (MIMO), which can increase reliability due to improved user separation, array gain and the channel hardening effect. Measurements have been performed in an operating factory environment at 3.7 GHz with a co-located massive MIMO array and a unique randomly distributed array. Channel hardening can appear when the number of antennas is increased such that the variations of channel gain (small-scale fading) is decreased and it is here quantified. The cumulative distribution function (CDF) of the channel gains then becomes steeper and its tail is reduced. This CDF is modeled and the required fading margins are quantified. By deploying a distributed array, the large-scale power variations can also be reduced, further improving reliability. The large array in this rich scattering environment, creates a more reliable channel as it approaches an independent identically distributed (i.i.d.) complex Gaussian channel, indicating that one can rethink the system design in terms of e.g. channel coding and re-transmission strategies, in order to reduce latency. To conclude, massive MIMO is a highly interesting technology for reliable connectivity in reflective and heavily shadowed industrial environments.