Crowdsourcing Access Network Spectrum Allocation Using Smartphones - - PowerPoint PPT Presentation

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Crowdsourcing Access Network Spectrum Allocation Using Smartphones - - PowerPoint PPT Presentation

pocketsniffer@blue.cse.buffalo.edu Crowdsourcing Access Network Spectrum Allocation Using Smartphones Jinghao Shi , Zhangyu Guan , Chunming Qiao Tommaso Melodia , Dimitrios Koutsonikolas and Geoffrey Challen University


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Crowdsourcing Access Network Spectrum Allocation Using Smartphones

Jinghao Shi†, Zhangyu Guan†§, Chunming Qiao† Tommaso Melodia§, Dimitrios Koutsonikolas† and Geoffrey Challen† pocketsniffer@blue.cse.buffalo.edu

†University at Buffalo §Northeastern University

HotNets'14, October 28, 2014

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Wireless Spectrum Management…

…is hard.

Crowded clients. User mobility. Hidden terminals.

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Client-Side Measurements…

…are valuable.123

Interference Interference

Hidden

Yet collecting them is disruptive.

1Arunesh Mishra, Vladimir Brik, et al. ``A Client-Driven Approach for Channel Management in Wireless LANs''. In:

  • Proc. of the 25th IEEE International Conference on Computer Communications (INFOCOM 2006). Apr. 2006

2Arunesh Mishra, Suman Banerjee, and William Arbaugh. ``Weighted coloring based channel assignment for WLANs''. In:

ACM SIGMOBILE Mobile Computing and Communications Review 9.3 (July 2005), pp. 19–31

3Shravan Rayanchu et al. ``FLUID: improving throughputs in enterprise wireless lans through flexible channelization''. In:

  • Proc. of the 17th annual international conference on Mobile computing and networking (MobiCom 2011). Sept. 2011

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An Example

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Wi-Fi is slow. Can you do something?

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An Example

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Sure, please scan channel X, Y, Z.

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An Example

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“Thank you” for the broken link.

A slow link is still better that a broken link.

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What if…

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I can help.

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Smartphone to the Rescue

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I can help.

Carried with you. Always on. Mostly idle.

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PocketSniffer: A Framework For…

…client-side measurements collection.

Active Client Idle PocketSniffer Client Active session Proximity detection Query Spectrum measurement PocketSniffer AP Health monitoring PocketSniffer Server

Spectrum utilization. Wi-Fi scan results.

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Q1: Measurement Approximation

Sure, tell me your condition

  • f channel X, Y, Z.

What we want What we get

Physical proximity. Wi-Fi signature similarity.

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Q2: Incentivize Measurement

Incentives: Bob's phone help Bob's laptop. Trade measurements for better QoS.

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Q3: Measurement Efficiency

...which one to use? Proximity Battery Level

Network performance improvement per Joule? Measurement? …

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Q4: Measurement Validation

Umm... are you serious?

Laziness. Selfishness. Leverage controlled APs. Cross validation.

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Big Picture & Open Questions

. Global information? Cooperative networks? Game theory? Wifi-cellular interaction?

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Summary

Active Client Idle PocketSniffer Client Active session Proximity detection Query Spectrum measurement PocketSniffer AP Health monitoring PocketSniffer Server

Use smartphones to help

  • ther devices.

Approximation. Incentive. Efficiency. Validation Coordination.

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References I

Arunesh Mishra, Suman Banerjee, and William Arbaugh. ``Weighted coloring based channel assignment for WLANs''. In: ACM SIGMOBILE Mobile Computing and Communications Review 9.3 (July 2005),

  • pp. 19–31.

Arunesh Mishra, Vladimir Brik, et al. ``A Client-Driven Approach for Channel Management in Wireless LANs''. In:

  • Proc. of the 25th IEEE International Conference on Computer Communications (INFOCOM 2006). Apr.

2006. Shravan Rayanchu et al. ``FLUID: improving throughputs in enterprise wireless lans through flexible channelization''. In:

  • Proc. of the 17th annual international conference on Mobile computing and networking (MobiCom 2011).
  • Sept. 2011.

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