A Detailed Look at MIMO Performance in 60 GHz WLANs

A Detailed Look at MIMO Performance in 60 GHz WLANs
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DOI:
10.1145/3530904
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发表时间:
2022-05
期刊:
Proceedings of the ACM on Measurement and Analysis of Computing Systems
影响因子:
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通讯作者:
Shivang Aggarwal;Srisai Karthik Neelamraju;Ajit Bhat;Dimitrios Koutsonikolas
Shivang Aggarwal;Srisai Karthik Neelamraju;Ajit Bhat;Dimitrios Koutsonikolas
中科院分区:
其他
文献类型:
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作者:
Shivang Aggarwal;Srisai Karthik Neelamraju;Ajit Bhat;Dimitrios Koutsonikolas

文献摘要

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即将推出的60 GHz WLAN 802.11ay标准的关键增强功能之一是支持通过SU和MU-MIMO同时传输多达8个数据流,这有可能实现高达100 Gbps的数据速率。然而,尽管MIMO预计在802.11ay中发挥关键作用,但到目前为止,对60 GHz WLAN中MIMO性能的实验评估仍然有限,这主要是由于缺乏支持毫米波频率下MIMO传输的硬件。在这项工作中,我们填补了这一空白,进行了第一次大规模的实验评估SU和MU-MIMO性能在60 GHz的无线局域网。与以前的研究不同,我们的研究涉及多个环境,具有非常不同的多径特性。我们分析在每个环境中的性能,确定影响它的因素,并将其与SISO的性能进行比较。此外,我们试图确定可以引导波束和用户选择的因素,以限制穷举搜索的开销(在实践中通常是禁止的)。最后,我们提出了两种方法,执行用户和波束选择与低开销,并表明他们执行接近Oracle解决方案,优于以前提出的方法在静态和移动的情况下,无论环境和用户数量。
One of the key enhancements in the upcoming 802.11ay standard for 60 GHz WLANs is the support for simultaneous transmissions of up to 8 data streams via SU- and MU-MIMO, which has the potential to enable data rates up to 100 Gbps. However, in spite of the key role MIMO is expected to play in 802.11ay, experimental evaluation of MIMO performance in 60 GHz WLANs has been limited to date, primarily due to lack of hardware supporting MIMO transmissions at millimeter wave frequencies. In this work, we fill this gap by conducting the first large-scale experimental evaluation of SU- and MU-MIMO performance in 60 GHz WLANs. Unlike previous studies, our study involves multiple environments with very different multipath characteristics. We analyze the performance in each environment, identify the factors that affect it, and compare it against the performance of SISO. Further, we seek to identify factors that can guide beam and user selection to limit the (often prohibitive in practice) overhead of exhaustive search. Finally, we propose two heuristics that perform both user and beam selection with low overhead, and show that they perform close to an Oracle solution and outperform previously proposed approaches in both static and mobile scenarios, regardless of the environment and number of users.