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Rate Adaptation for 802.11 Multiuser MIMO Networks

机译:802.11多用户MIMO网络的速率适配

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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.
机译:在多用户MIMO(MU-MIMO)网络中,用户的最佳比特率是高度动态的,并且从一个数据包到另一个数据包都在变化。这打破了传统的比特率自适应算法,后者依靠最近的历史来预测下一个数据包的最佳比特率。为了解决这个问题,我们引入了TurboRate,这是MU-MIMO LAN的速率自适应方案。 TurboRate表明,如果每个客户端都学习两个变量,则MU-MIMO LAN中的客户端可以在每个数据包的基础上调整其比特率:当它单独发送到接入点时的SNR,以及在其接收信号的方向。美联社TurboRate还表明,每个客户端都可以被动地计算这两个变量,而无需与接入点交换控制帧。然后,TurboRate客户端使用这些变量注释其数据包,以使其他客户端能够选择最佳比特率并同时传输到AP。 USRP-N200中的原型实现表明,传统的速率自适应无法带来MU-MIMO WLAN的收益,并且会与MU-MIMO产生负面影响,从而导致吞吐量降低。相比之下,启用具有TurboRate的MU-MIMO可分别为2天线和3天线AP提供1.7倍和2.3倍的平均吞吐量增益。

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