• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>Asilomar Conference on Signals, Systems, and Computers >Ultra Reliable Low Latency Communications in Massive Multi-Antenna Systems
【24h】

Ultra Reliable Low Latency Communications in Massive Multi-Antenna Systems

机译：大规模多天线系统中的超可靠低延迟通信

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Large number of antennas in Massive MIMO offer a significant spatial diversity, which makes them an attractive possibility for use in wireless settings that require very high reliability. However, in 5G ultra-reliability is coupled with low latency into ultra-reliable low-latency communications (URLLC). This is very challenging as an efficient use of Massive MIMO depends critically on training, which consumes significant resources when the latency requirement is very tight. In this paper we address this problem by exploiting the sparsity of the propagation channel and therefore rely on estimation of a small number of instantaneous channel coefficients. This leads to robust beamforming and departs from the conventional use of the instantaneous channel state information (CSI) at each transmit antenna. We compare the performance of maximum ratio transmission based on the conventional least-squares estimation of all channel coefficients and the one based on the estimation of the fading coefficients of the channel features i.e. the singular vectors of the covariance matrix. The singular vectors are assumed known and unchangeable over a long term. The results show that this approach makes massive MIMO a feasible technology in URLLC scenarios.
机译：在大规模MIMO天线大量提供显著空间分集，这使得它们在需要极高可靠性的无线设置，使用一个有吸引力的可能性。然而，在5G超可靠性被耦合以低等待时间成超可靠低延迟通信（URLLC）。这是非常具有挑战性的有效使用大规模MIMO的关键取决于训练，消耗显著资源时的等待时间要求非常紧。在本文中，我们通过利用传播信道的稀疏性解决这个问题，并因此依赖于少数瞬时信道系数的估计。这导致鲁棒波束形成和偏离了在每个发射天线的常规使用的瞬时信道状态信息（CSI）。我们比较最大比传输的基于所有信道系数的常规最小二乘估计以及基于所述信道的衰落系数的推定的功能之一即协方差矩阵的奇异向量的性能。奇异向量假设已知的并且不可改变的在长期。实验结果表明，这种方法使大规模MIMO可行的技术URLLC场景。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号