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Model-driven energy-aware rate adaptation

Published: 29 July 2013 Publication History

Abstract

Rate adaptation in WiFi networks has received significant attention recently. However, most existing work focuses on selecting the rate to maximize throughput. How to select a data rate to minimize energy consumption is an important yet under-explored topic. This problem is becoming increasingly important with the rapidly increasing popularity of MIMO deployment, because MIMO offers diverse rate choices (e.g., the number of antennas, the number of streams, modulation, and FEC coding) and selecting the appropriate rate has significant impact on power consumption.
In this paper, we first use extensive measurement to develop a simple yet accurate energy model for 802.11n wireless cards. Then we use the models to drive the design of energy-aware rate adaptation scheme. A major benefit of a model-based rate adaptation is that applying a model allows us to eliminate frequent probes in many existing rate adaptation schemes so that it can quickly converges to the appropriate data rate. We demonstrate the effectiveness of our approach using trace-driven simulation and real implementation in a wireless testbed.

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  • (2020)MAC-layer rate control for 802.11 networks: a surveyWireless Networks10.1007/s11276-020-02295-2Online publication date: 14-Mar-2020
  • (2019)Performance Analysis of Smartphone-based Mobile Wi-Fi Hotspots Operating in a Congested Environment2019 6th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)10.23919/EECSI48112.2019.8977125(325-328)Online publication date: Sep-2019
  • (2019)Enabling Out-of-Band Coordination of Wi-Fi Communications on SmartphonesIEEE/ACM Transactions on Networking10.1109/TNET.2019.289126327:2(518-531)Online publication date: 1-Apr-2019
  • Show More Cited By

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      cover image ACM Conferences
      MobiHoc '13: Proceedings of the fourteenth ACM international symposium on Mobile ad hoc networking and computing
      July 2013
      322 pages
      ISBN:9781450321938
      DOI:10.1145/2491288
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      Publication History

      Published: 29 July 2013

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      Author Tags

      1. IEEE 802.11
      2. MIMO
      3. energy
      4. rate adaptation

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      MobiHoc '13 Paper Acceptance Rate 42 of 234 submissions, 18%;
      Overall Acceptance Rate 296 of 1,843 submissions, 16%

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      Cited By

      View all
      • (2020)MAC-layer rate control for 802.11 networks: a surveyWireless Networks10.1007/s11276-020-02295-2Online publication date: 14-Mar-2020
      • (2019)Performance Analysis of Smartphone-based Mobile Wi-Fi Hotspots Operating in a Congested Environment2019 6th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)10.23919/EECSI48112.2019.8977125(325-328)Online publication date: Sep-2019
      • (2019)Enabling Out-of-Band Coordination of Wi-Fi Communications on SmartphonesIEEE/ACM Transactions on Networking10.1109/TNET.2019.289126327:2(518-531)Online publication date: 1-Apr-2019
      • (2018)A Hybrid RF-VLC System for Energy Efficient Wireless AccessIEEE Transactions on Green Communications and Networking10.1109/TGCN.2018.28499442:4(932-944)Online publication date: Dec-2018
      • (2018)Modeling the Impacts of WiFi Signals on Energy Consumption of SmartphonesCollaborative Computing: Networking, Applications and Worksharing10.1007/978-3-030-00916-8_9(88-97)Online publication date: 26-Sep-2018
      • (2017)Experimental Evaluation of WiFi Active Power/Energy Consumption Models for SmartphonesIEEE Transactions on Mobile Computing10.1109/TMC.2016.253822816:1(115-129)Online publication date: 1-Jan-2017
      • (2017)RaCAProcedia Computer Science10.1016/j.procs.2017.06.026111:C(183-189)Online publication date: 1-Sep-2017
      • (2016)Revisiting 802.11 Rate Adaptation from Energy Consumption's PerspectiveProceedings of the 19th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems10.1145/2988287.2989149(27-34)Online publication date: 13-Nov-2016
      • (2016)Revisiting 802.11 power consumption modeling in smartphones2016 IEEE 17th International Symposium on A World of Wireless, Mobile and Multimedia Networks (WoWMoM)10.1109/WoWMoM.2016.7523500(1-10)Online publication date: Jun-2016
      • (2016)Arbitrating Traffic Contention for Power Saving with Multiple PSM ClientsIEEE Transactions on Wireless Communications10.1109/TWC.2016.259555815:10(7030-7043)Online publication date: 1-Oct-2016
      • Show More Cited By

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