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Efficient MU-MIMO via Switched-beam Antennas

Published: 10 July 2017 Publication History

Abstract

The demand for wireless bandwidth is rising to unprecedented levels. The industry has responded with the inclusion of advanced PHY techniques, most notably multi-user (MU) MIMO, in the most recent WiFi and LTE standards. However, despite the theoretical promise for large multiplexing gains, in practice the rate gains are modest due to a combination of large overhead to collect channel state information and not-so-well-conditioned channel matrices.
In this paper we propose to replace omni-directional antennas with inexpensive switched-beam antennas to produce well-conditioned channel matrices for MU-MIMO purposes with very low overhead. Remarkably, experimental results with both software defined radios and commercial WiFi chipsets show that, when appropriate antenna modes are used, this leads to a 3.5x-5x average throughput improvement in indoor environments. What is more, our backward compatible protocol extension coupled with an efficient algorithm to select appropriate antenna modes, achieve the aforementioned gains with almost zero overhead.

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  • (2019)Online Reconfigurable Antenna State Selection based on Thompson Sampling2019 International Conference on Computing, Networking and Communications (ICNC)10.1109/ICCNC.2019.8685555(888-893)Online publication date: Feb-2019
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cover image ACM Conferences
Mobihoc '17: Proceedings of the 18th ACM International Symposium on Mobile Ad Hoc Networking and Computing
July 2017
309 pages
ISBN:9781450349123
DOI:10.1145/3084041
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 10 July 2017

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Author Tags

  1. Greedy algorithm
  2. MU-MIMO
  3. Switched-beam antennas

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Mobihoc '17 Paper Acceptance Rate 27 of 170 submissions, 16%;
Overall Acceptance Rate 296 of 1,843 submissions, 16%

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Cited By

View all
  • (2024)Optimizing Sample Delivery in RF-Charging Multi-Hop IoT NetworksIEEE Transactions on Green Communications and Networking10.1109/TGCN.2023.33115908:1(427-440)Online publication date: Mar-2024
  • (2021)Buffer evaluation model and scheduling strategy for video streaming services in 5G-powered drone using machine learningEURASIP Journal on Image and Video Processing10.1186/s13640-021-00570-62021:1Online publication date: 23-Aug-2021
  • (2019)Online Reconfigurable Antenna State Selection based on Thompson Sampling2019 International Conference on Computing, Networking and Communications (ICNC)10.1109/ICCNC.2019.8685555(888-893)Online publication date: Feb-2019
  • (2018)Impact of Reconfigurable Antennas on MU-MIMO Over Measurements in a Reverberation Chamber2018 IEEE 88th Vehicular Technology Conference (VTC-Fall)10.1109/VTCFall.2018.8690597(1-5)Online publication date: Aug-2018
  • (2018)Consistently High MIMO Rates via Switched-Beam AntennasIEEE/ACM Transactions on Networking10.1109/TNET.2018.286757626:5(2320-2333)Online publication date: Oct-2018

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