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Anonymous-query based rate control for wireless multicast: approaching optimality with constant feedback

Published: 05 July 2016 Publication History

Abstract

For a multicast group of n receivers, existing techniques either achieve high throughput at the cost of prohibitively large (e.g., O(n)) feedback overhead, or achieve low feedback overhead but without either optimal or near-optimal throughput guarantees. Simultaneously achieving good throughput guarantees and low feedback overhead has been an open problem and could be the key reason why wireless multicast has not been successfully deployed in practice. In this paper, we develop a novel anonymous-query based rate control, which approaches the optimal throughput with a constant feedback overhead independent of the number of receivers. In addition to our theoretical results, through implementation on a software-defined ratio platform, we show that the anonymous-query based algorithm achieves low-overhead and robustness in practice.

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Cited By

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  • (2024)Boosting Collaborative Vehicular Perception on the Edge with Vehicle-to-Vehicle CommunicationProceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems10.1145/3666025.3699328(141-154)Online publication date: 4-Nov-2024
  • (2021) NDN-MMRA : Multi-Stage Multicast Rate Adaptation in Named Data Networking WLAN IEEE Transactions on Multimedia10.1109/TMM.2020.302328223(3250-3263)Online publication date: 2021
  • (2019)DyMoIEEE/ACM Transactions on Networking10.1109/TNET.2018.288974227:1(258-271)Online publication date: 1-Feb-2019
  • Show More Cited By

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  1. Anonymous-query based rate control for wireless multicast: approaching optimality with constant feedback

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      cover image ACM Conferences
      MobiHoc '16: Proceedings of the 17th ACM International Symposium on Mobile Ad Hoc Networking and Computing
      July 2016
      421 pages
      ISBN:9781450341844
      DOI:10.1145/2942358
      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 the author(s) 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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      Published: 05 July 2016

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      Author Tags

      1. low feedback overhead
      2. near-optimal throughput
      3. wireless multicast

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      View all
      • (2024)Boosting Collaborative Vehicular Perception on the Edge with Vehicle-to-Vehicle CommunicationProceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems10.1145/3666025.3699328(141-154)Online publication date: 4-Nov-2024
      • (2021) NDN-MMRA : Multi-Stage Multicast Rate Adaptation in Named Data Networking WLAN IEEE Transactions on Multimedia10.1109/TMM.2020.302328223(3250-3263)Online publication date: 2021
      • (2019)DyMoIEEE/ACM Transactions on Networking10.1109/TNET.2018.288974227:1(258-271)Online publication date: 1-Feb-2019
      • (2018)Experimental Evaluation of Large Scale WiFi Multicast Rate ControlIEEE Transactions on Wireless Communications10.1109/TWC.2018.279160517:4(2319-2332)Online publication date: Apr-2018
      • (2018)High Throughput Low Delay Wireless Multicast via Multi-Channel Moving Window CodesIEEE INFOCOM 2018 - IEEE Conference on Computer Communications10.1109/INFOCOM.2018.8485913(2267-2275)Online publication date: Apr-2018
      • (2018)Multicast Rate Adaptation in WLAN via NDN2018 27th International Conference on Computer Communication and Networks (ICCCN)10.1109/ICCCN.2018.8487358(1-8)Online publication date: Jul-2018
      • (2017)DyMo: Dynamic monitoring of large scale LTE-Multicast systemsIEEE INFOCOM 2017 - IEEE Conference on Computer Communications10.1109/INFOCOM.2017.8057043(1-9)Online publication date: May-2017

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