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Rate Adaptation for 802.11 Multiuser MIMO Networks
Jan. 2014 (vol. 13 no. 1)
pp. 35-47
Wei-Liang Shen, Academia Sinica, Taipei and National Taiwan University
Kate Ching-Ju Lin, Academia Sinica, Taipei
Shyamnath Gollakota, University of Washington, Seattle
Ming-Syan Chen, Academia Sinica, Taipei and National Taiwan University
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 an 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 1.7× and 2.3×, for 2-antenna and 3-antenna APs, respectively.
Index Terms:
Bit rate,Signal to noise ratio,Throughput,Vectors,IEEE 802.11 Standards,Antennas,Mobile computing,Multiuser MIMO networks,Bit rate,Signal to noise ratio,Throughput,Vectors,IEEE 802.11 Standards,Antennas,Mobile computing,rate adaptation
Citation:
Wei-Liang Shen, Kate Ching-Ju Lin, Shyamnath Gollakota, Ming-Syan Chen, "Rate Adaptation for 802.11 Multiuser MIMO Networks," IEEE Transactions on Mobile Computing, vol. 13, no. 1, pp. 35-47, Jan. 2014, doi:10.1109/TMC.2013.115
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