Ioannis Pefkianakis, Yun Hu, Starsky H. Y. Wong, Hao Yang, Songwu Lu
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引用次数: 154
摘要
研究了802.11n无线网络中基于MIMO的速率自适应(RA)技术。我们的案例研究表明,现有的RA算法甚至比固定速率方案提供更低的吞吐量。最根本的问题是,所有这些算法都是MIMO无关的;它们没有考虑面向多样性的单流模式和空间复用驱动的双流模式的特点。我们提出了MiRA,一种新颖的MIMO RA方案,在模式内和模式间速率选项之间进行锯齿状切换。我们的实验表明,在静态、移动和碰撞设置中,MiRA始终优于三种代表性的RA算法,即SampleRate、RRAA和Atheros MIMO RA。
This paper studies MIMO based rate adaptation (RA) in 802.11n wireless networks. Our case study shows that existing RA algorithms offer much lower throughput than even a fixed-rate scheme. The fundamental problem is that, all such algorithms are MIMO oblivious; they do not consider the characteristics of diversity-oriented, single-stream mode and the spatial multiplexing driven, double-stream mode. We propose MiRA, a novel MIMO RA scheme that zigzags between intra- and inter-mode rate options. Our experiments show that MiRA consistently outperforms three representative RA algorithms, SampleRate, RRAA and Atheros MIMO RA, in static, mobility and collision settings.