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- W2524499899 abstract "Multi-User MIMO, the hallmark of IEEE 802.11ac and the upcoming 802.11ax, promises significant throughput gains by supporting multiple concurrent data streams to a group of users. However, identifying the best-throughput MU-MIMO groups in commodity 802.11ac networks poses three major challenges: a) Commodity 802.11ac users do not provide full CSI feedback, which has been widely used for MU-MIMO grouping. b) Heterogeneous channel bandwidth users limit grouping opportunities. c) Limited-resource on APs cannot support computationally and memory expensive operations, required by existing algorithms. Hence, state-of-the-art designs are either not portable in 802.11ac APs, or perform poorly, as shown by our testbed experiments. In this paper, we design and implement MUSE, a lightweight user grouping algorithm, which addresses the above challenges. Our experiments with commodity 802.11ac testbeds show MUSE can achieve high throughput gains over existing designs." @default.
- W2524499899 created "2016-10-07" @default.
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- W2524499899 date "2016-10-03" @default.
- W2524499899 modified "2023-09-27" @default.
- W2524499899 title "Practical MU-MIMO user selection on 802.11ac commodity networks" @default.
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- W2524499899 doi "https://doi.org/10.1145/2973750.2973758" @default.
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