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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.

References

[1]
https://play.google.com/store/apps/details?id=it.opbyte.superdownload_lite&hl=en.
[2]
http://www.shoelacewireless.com/pages/videobee.
[3]
http://multipath-tcp.org/pmwiki.php/Users/Android.
[4]
http://androidandme.com/2012/08/smartphones-2/qualcomm-explains-the-system-of-tiers-for-snapdragon-s4/.
[5]
http://www.theverge.com/2013/1/14/3874576/samsung-sells-over-100-million-galaxy-s-devices.
[6]
http://news.cnet.com/8301-1035_3-57493718-94/samsung-10m-galaxy-notes-sold-in-nine-months/.
[7]
BALASUBRAMANIAN, N., BALASUBRAMANIAN, A., AND VENKATARAMANI, A. Energy consumption in mobile phones: a measurement study and implications for network applications. In IMC (2009).
[8]
BHULAI, S., HOEKSTRA, G., AND VAN DER MEI, R. Optimal concurrent access strategies in mobile communication networks. In ITC (2010).
[9]
BHULAI, S., HOEKSTRA, G.J., BOSMAN, J.W., AND VAN DER MEI, R. D. Dynamic traffic splitting to parallel wireless networks with partial information: A bayesian approach. Perform. Eval. 69, 1 (2012), 41--52.
[10]
BOSMAN, J.W., HOEKSTRA, G.J., VAN DER MEI, R.D., AND BHULAI, S. A simple index rule for efficient traffic splitting over parallel wireless networks with partial information. Perform. Eval. 70, 10(2013).
[11]
CARROLL, A., AND HEISER, G. An analysis of power consumption in a smartphone. In ATC (2010).
[12]
CHEN, Y.-C., LIM, Y.-S., GIBBENS, R.J., NAHUM, E.M., KHALILI, R., AND TOWSLEY, D. A measurement-based study of multipath TCP performance over wireless networks. In IMC (2013).
[13]
DENG, S., NETRAVALI, R., SIVARAMAN, A., AND BALAKRISHNAN, H. WiFi, LTE or both? measuring mulit-homed wireless internet performance. In IMC (2014).
[14]
DENG, S., SIVARAMAN, A., AND BALAKRISHNAN, H. All your network are belong to us: A transport framework for mobile network selection. In HotMobile (2014).
[15]
DING, N., WAGNER, D., CHEN, X., PATHAK, A., HU, Y.C., AND RICE, A. Characterizing and modeling the impact of wireless signal strength on smartphone battery drain. In SIGMETRICS (2013).
[16]
GARCIA-SAAVEDRA, A., SERRANO, P., BANCHS, A., AND BIANCHI, G. Energy consumption anatomy of 802.11 devices and its implication on modeling and design. In CoNEXT (2012).
[17]
HABAK, K., HARRAS, K.A.,AND YOUSSEF, M. Bandwidth aggregation techniques in heterogeneous multi-homed devices: Asurvey. CoRR (2013).
[18]
HIGGINS, B.D., REDA, A., ALPEROVICH, T., FLINN, J., GIULI, T. J., NOBLE, B., AND WATSON, D. Intentional networking: Opportunistic exploitation of mobile network diversity. In MobiCom (2010).
[19]
HOEKSTRA, G.J., VAN DERMEI, R.D., AND BOSMAN, J.W. Efficient traffic splitting in parallel tcp-based networks: modeling and experimental validation. In ITC (2013).
[20]
HOU, X., DESHPANDE, P., AND DAS, S.R. Moving bits from 3G to metro-scale WiFi for vehicular network access: an integrated transport layer solution. In ICNP (2011).
[21]
HUANG, J., QIAN, F., GERBER, A., MAO, Z.M., SEN, S., AND SPATSCHECK, O. A close examination of performance and power characteristics of 4G LTE networks. In MobiSys (2012).
[22]
HUANG, J., QIAN, F., GUO, Y., ZHOU, Y., XU, Q., MAO, Z.M., SEN,S., AND SPATSCHECK, O. An in-depth study of LTE: effect of network protocol and application behavior on performance. In SIGCOMM (2013).
[23]
LIM, Y.-S., CHEN, Y.-C., NAHUM, E.M., TOWSLEY, D., AND GIBBENS, R. J. How green is multipath tcp for mobile devices. In All Things Cellular (2014).
[24]
MITTAL, R., KANSAL, A., AND CHANDRA, R. Empowering developers to estimate app energy consumption. In MobiCom (2012).
[25]
NAM, H., KIM, B.H., CALIN, D., AND SCHULZRINNE, H.G. Mobile video is inefficient: A traffic analysis. Tech. rep., Department of Computer Science, Columbia University, 2013.
[26]
NIRJON, S., NICOARA, A., HSU, C.-H., SINGH, J.P., AND STANKOVIC, J. A. Multinets: A system for real-time switching between multiple network interfaces on mobile devices. In TECS (2013).
[27]
PAASCH, C., DETAL, G., DUCHENE, F., RAICIU, C., AND BONAVENTURE, O. Exploring mobile/wifi handover with multipath tcp. In CellNet (2012).
[28]
PATHAK, A., HU, Y.C., AND ZHANG, M. Where is the energy spent inside my app?: fine grained energy accounting on smartphones with eprof. In EuroSys (2012).
[29]
PATHAK, A., HU, Y.C., ZHANG, M., BAHL, P., AND WANG, Y.-M. Fine-grained power modeling for smartphones using system call tracing. In EuroSys (2011).
[30]
QIAN, F., WANG, Z., GERBER, A., MAO, Z., SEN, S., AND SPATSCHECK, O. Profiling resource usage for mobile applications: across-layer approach. In MobiSys (2011).
[31]
RAICIU, C., PAASCH, C., BARRE, S., FORD, A., HONDA, M., DUCHENE, F., BONAVENTURE, O., AND HANDLEY, M. How hard can it be? designing and implementing a deployable multipath tcp. In NSDI (2012).
[32]
SCHULMAN, A., NAVDA, V., RAMJEE, R., SPRING, N., DESHPANDE, P., GRUNEWALD, C.,JAIN, K., AND PADMANABHAN, V.N. Bartendr: A practical approach to energy-aware cellular data scheduling. In MobiCom (2010).
[33]
SHYE, A., SCHOLBROK, B., AND MEMIK, G. Into the wild: studying real user activity patterns to guide power optimizations for mobile architectures. In MICRO 42 (2009).
[34]
TSAO, C.-L., AND SIVAKUMAR, R. On effectively exploiting multiple wireless interfaces in mobile hosts. In CoNEXT (2009).
[35]
YAP, K.-K., HUANG, T.-Y., KOBAYASHI, M., YIAKOUMIS, Y., MCKEOWN, N., KATTI, S., AND PARULKAR, G. Makinguseofall the networks around us: A case study in android. In CellNet (2012).
[36]
YAP, K.-K., HUANG, T.-Y., YIAKOUMIS, Y., CHINCHALI, S., MCKEOWN, N., AND KATTI, S. Scheduling packets over multiple interfaces while respecting user preferences. In CoNEXT (2013).
[37]
ZHANG, L., BIRJODH, T., QIAN, Z., WANG, Z., DICK, R.P., MAO, Z.M., AND YANG, L. Accurate online power estimation and automatic battery behavior based power model generation for smartphones. In CODES+ISSS (2010).

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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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