How Long to Estimate Sparse MIMO Channels

How Long to Estimate Sparse MIMO Channels
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DOI:
10.1109/isit45174.2021.9518222
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发表时间:
2021-01
期刊:
2021 IEEE International Symposium on Information Theory (ISIT)
影响因子:
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通讯作者:
Yahia Shabara;C. E. Koksal;E. Ekici
Yahia Shabara;C. E. Koksal;E. Ekici
中科院分区:
其他
文献类型:
--
作者:
Yahia Shabara;C. E. Koksal;E. Ekici

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大型MIMO收发器是下一代无线网络的组成部分。然而,为了使这样的系统实用,它们的信道估计过程需要快速且可靠。虽然存在几种快速估计稀疏信道的解决方案,但在理解管理这个问题的基本限制方面仍然存在差距。具体而言,我们需要更好地了解下,可以获得准确的信道估计的测量数量的下限。这项工作的桥梁,知识差距,推导出一个严格的渐近下界的测量数量。这不仅有助于更好地理解稀疏MIMO信道估计问题,而且还为评估当前和未来的解决方案提供了基准。
Large MIMO transceivers are integral components of next-generation wireless networks. However, for such systems to be practical, their channel estimation process needs to be fast and reliable. Although several solutions for fast estimation of sparse channels do exist, there is still a gap in understanding the fundamental limits governing this problem. Specifically, we need to better understand the lower bound on the number of measurements under which accurate channel estimates can be obtained. This work bridges that knowledge gap by deriving a tight asymptotic lower bound on the number of measurements. This not only helps develop a better understanding for the sparse MIMO channel estimation problem, but it also provides a benchmark for evaluating current and future solutions.