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Energy and Performance of Smartphone Radio Bundling in Outdoor Environments

Published: 18 May 2015 Publication History

Abstract

Most of today's mobile devices come equipped with both cellular LTE and WiFi wireless radios, making radio bundling (simultaneous data transfers over multiple interfaces) both appealing and practical. Despite recent studies documenting the benefits of radio bundling with MPTCP, many fundamental questions remain about potential gains from radio bundling, or the relationship between performance and energy consumption in these scenarios. In this study, we seek to answer these questions using extensive measurements to empirically characterize both energy and performance for radio bundling approaches. In doing so, we quantify potential gains of bundling using MPTCP versus an ideal protocol. We study the links between traffic partitioning and bundling performance, and use a novel componentized energy model to quantify the energy consumed by CPUs (and radios) during traffic management. Our results show that MPTCP achieves only a fraction of the total performance gain possible, and that its energy-agnostic design leads to considerable power consumption by the CPU. We conclude that not only there is room for improved bundling performance, but an energy-aware bundling protocol is likely to achieve a much better tradeoff between performance and power consumption.

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Information

Published In

cover image ACM Other conferences
WWW '15: Proceedings of the 24th International Conference on World Wide Web
May 2015
1460 pages
ISBN:9781450334693

Sponsors

  • IW3C2: International World Wide Web Conference Committee

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International World Wide Web Conferences Steering Committee

Republic and Canton of Geneva, Switzerland

Publication History

Published: 18 May 2015

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Author Tags

  1. energy consumption
  2. radio bundling
  3. throughput performance

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  • Research-article

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  • NSF

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WWW '15
Sponsor:
  • IW3C2

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WWW '15 Paper Acceptance Rate 131 of 929 submissions, 14%;
Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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  • (2023)A Survey on DRX Mechanism: Device Power Saving From LTE and 5G New Radio to 6G Communication SystemsIEEE Communications Surveys & Tutorials10.1109/COMST.2022.321785425:1(156-183)Online publication date: 1-Jan-2023
  • (2023)From centralized to Federated LearningComputer Networks: The International Journal of Computer and Telecommunications Networking10.1016/j.comnet.2023.109657225:COnline publication date: 1-Apr-2023
  • (2023)Toward Smartphone Energy Optimization Through Users Operating Pattern DiscoverySentiment Analysis and Deep Learning10.1007/978-981-19-5443-6_47(615-627)Online publication date: 1-Jan-2023
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