AiFi: AI-Enabled WiFi Interference Cancellation with Commodity PHY-Layer Information
AiFi: AI-Enabled WiFi Interference Cancellation with Commodity PHY-Layer Information
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DOI：
10.1145/3560905.3568537
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发表时间：
2022-11
期刊：
影响因子：
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通讯作者：
Ruirong Chen;Kai Huang;Wei Gao
中科院分区：
文献类型：
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作者：
Ruirong Chen;Kai Huang;Wei Gao
干扰可能会导致WiFi网络性能显著下降。大多数现有的干扰消除解决方案都需要额外的射频硬件，这在许多低功耗无线场景中通常是不可行的。在本文中，我们提出了AiFi，一种新的干扰消除技术，它可以应用于普通的WiFi设备，而无需使用任何额外的射频硬件。AiFi的核心思想是从WiFi接收器本地可用的物理层（PHY）信息中获取有关干扰的知识，包括导频信息（PI）和信道状态信息（CSI）。AiFi利用人工智能的能力来解决从这些物理层信息估计干扰时可能出现的模糊性，并结合有关WiFi物理层的领域知识来最小化神经网络的复杂性。实验结果表明，AiFi能够纠正80%因干扰导致的误码，将MAC帧接收率提高18倍，并且每帧干扰消除的延迟小于1毫秒。
Interference could result in significant performance degradation in WiFi networks. Most existing solutions to interference cancellation require extra RF hardware, which is usually infeasible in many low-power wireless scenarios. In this paper, we present AiFi, a new interference cancellation technique that can be applied to commodity WiFi devices without using any extra RF hardware. The key idea of AiFi is to retrieve knowledge about interference from the locally available physical-layer (PHY) information at the WiFi receiver, including the pilot information (PI) and the channel state information (CSI). AiFi leverages the power of AI to address the possible ambiguity when estimating interference from these PHY information, and incorporates the domain knowledge about WiFi PHY to minimize the neural network complexity. Experiment results show that AiFi can correct 80% of bit errors due to interference and improves the MAC frame reception rate by 18x, with <1ms latency for interference cancellation in each frame.