Rate adaptation for 802.11 multiuser mimo networks
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Katabi_Rate adaptation.pdf
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Author(s)
Shen, Wei-Liang
Tung, Yu-Chih
Lee, Kuang-Che
Lin, Kate Ching-Ju
Gollakota, Shyamnath
Katabi, Dina
Chen, Ming-Syan
Date Issued
2012
Journal
Proceedings of the 18th annual international conference on Mobile computing and networking - Mobicom '12
Publisher
Association for Computing Machinery
Citation
Shen, Wei-Liang, Yu-Chih Tung, Kuang-Che Lee, Kate Ching-Ju Lin, Shyamnath Gollakota, Dina Katabi, and Ming-Syan Chen. “Rate Adaptation for 802.11 Multiuser Mimo Networks.” Proceedings of the 18th Annual International Conference on Mobile Computing and Networking - Mobicom ’12 (2012).
Version
Author's final manuscript
Abstract
In multiuser MIMO (MU-MIMO) networks, the optimal bit rate of a user is highly dynamic and changes from one packet to the next. This breaks traditional bit rate adaptation algorithms, which rely on recent history to predict the best bit rate for the next packet. To address this problem, we introduce TurboRate, a rate adaptation scheme for MU-MIMO LANs. TurboRate shows that clients in a MU-MIMO LAN can adapt their bit rate on a per-packet basis if each client learns two variables: its SNR when it transmits alone to the access point, and the direction along which its signal is received at the AP. TurboRate also shows that each client can compute these two variables passively without exchanging control frames with the access point. A TurboRate client then annotates its packets with these variables to enable other clients to pick the optimal bit rate and transmit concurrently to the AP. A prototype implementation in USRP-N200 shows that traditional rate adaptation does not deliver the gains of MU-MIMO WLANs, and can interact negatively with MU-MIMO, leading to low throughput. In contrast, enabling MU-MIMO with TurboRate provides a mean throughput gain of 1.7x and 2.3x, for 2-antenna and 3-antenna APs respectively.
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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DOI of Published Version
https://doi.org/10.1145/2348543.2348551
