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.
翻译:5G系统及其他系统的一个使用案例是超可靠低长度通信(URLLC) 。 URLLC的一个赋能技术是大规模多投入多输出多输出输出(MIMO),由于用户分离、阵列增加和频道加固效应的改善,这种技术可以提高可靠性。 测量是在3.7 GHz的操作工厂环境中进行的,该厂同时放置大量大型MIMO阵列和独特的随机分布阵列。 当天线数量增加,从而减少频道增益(小规模退缩)的变异,并在此量化时,通道的变异性就会出现。 频道增益的累积性分配功能(CDF)随后变得更陡峭,其尾部也减少。 CDF是模型化的,所需的淡化幅度也是量化的。 通过部署分布式阵列,大规模电量变也可以减少,从而进一步提高可靠性。 这个分布环境的庞大阵列能够创造更可靠的渠道,因为它接近一个独立的分布(i.d.)复杂的高斯频道,这表明一个系统设计的系统设计可以从电子化的磁层中减少系统设计,从而反映高度的工业连通环境。