Yoon Chae and Zhenzhe Lin, George Mason University; Kang Min Bae and Song Min Kim, Korea Advanced Institute of Science and Technology (KAIST); Parth Pathak, George Mason University
High-speed connectivity is key to enabling a range of novel IoT applications. Millimeter-wave (mmWave) backscatter has emerged as a possible solution to create high-speed, low-power IoT networks. However, state-of-the-art mmWave backscatter systems are costly due to the need for dedicated mmWave reader devices. This paper presents mmComb, a mmWave backscatter system that is built to operate on commodity mmWave WiFi. mmComb is developed with the aim that mmWave backscatter tags can be directly integrated into 802.11ad/ay mmWave WiFi networks. mmComb makes two key contributions. First, We propose a technique to communicate with backscatter tags using existing beamforming protocol frames from mmWave WiFi devices, without any protocol modification. Second, we develop a self-interference suppression solution that intelligently uses receive beamforming to extract weak mmWave backscatter signal even in indoor multipath-rich channels. We implement our solution with a tag prototype and 60 GHz commodity WiFi devices. Our results show that mmComb can achieve a maximum data rate of 55 Mbps just by leveraging 802.11ad/ay control frames while consuming 87.3 μW with BER lower than 10^−3 up to 5.5 m range.
NSDI '24 Open Access Sponsored by
King Abdullah University of Science and Technology (KAUST)
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author = {Yoon Chae and Zhenzhe Lin and Kang Min Bae and Song Min Kim and Parth Pathak},
title = {{mmComb}: High-speed {mmWave} Commodity {WiFi} Backscatter},
booktitle = {21st USENIX Symposium on Networked Systems Design and Implementation (NSDI 24)},
year = {2024},
isbn = {978-1-939133-39-7},
address = {Santa Clara, CA},
pages = {1713--1729},
url = {https://www.usenix.org/conference/nsdi24/presentation/chae},
publisher = {USENIX Association},
month = apr
}