Skip to main content

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 322))

Abstract

A bandwidth allocation method based on smartphone users’ personality traits and channel condition is studied in a unified mathematical framework in this paper. Based on the relationship between automatically extracted behavioral characteristics derived from rich smartphone data and Big-Five personality traits, the service provider could estimate each user’s probability of each personality trait using diagnostic inference, and then based on predictive inference to calculate each user’s usage of bandwidth using Bayesian Network. This could help the service provider to better allocate the smartphone bandwidth. For our proposed smart bandwidth allocation scheme, both the outage capacity and the outage probability are studied in fading channel. The service provider could adjust the bandwidth allocated further on account of the real channel condition, which makes our proposed algorithm more robust.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 259.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 329.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Butt S, Phillips JG (2008) Personality and self reported mobile phone use. Comput Human Behav 24(2):346–360

    Article  Google Scholar 

  2. Chittaranjan G, Blom J, Gatica-Perez D (2013) Mining large-scale smartphone data for personality studies. Pers Ubiquitous Comput 17(3):433–450

    Article  Google Scholar 

  3. Lane W, Manner C (2011) The impact of personality traits on smartphone ownership and use. Int J Bus Soc Sci 2(17):22–28

    Google Scholar 

  4. Lane W, Manner C (2012) The influence of personality traits on mobile phone application preferences. J Econ Behav Stud 4(5):252–260

    Google Scholar 

  5. Liu T, Chen J (2009) Joint downlink transmit and receive beamforming under per-antenna power constraints. In: IEEE 7th international conference on information, communications and signal processing, 2009, pp 1–5

    Google Scholar 

  6. Chen J, Liang Q, Zhang B, Wu X (2013) Spectrum efficiency of nested sparse sampling and co-prime sampling. EURASIP J Wirel Commun Netw 2013(1):47

    Article  Google Scholar 

  7. Chen J, Liang Q, Choi H-A (2012) Spectrum efficiency of nested sparse sampling. In: Wireless algorithms, systems, and applications. Springer, Berlin/Heidelberg, pp 574–583

    Google Scholar 

  8. Chen J, Liang Q, Wang J (2013) Secure transmission for big data based on nested sampling and coprime sampling with spectrum efficiency. Secur Commun Netw. doi:10.1002/sec.785

    Google Scholar 

  9. Chen J, Liang Q, Zhang B, Wu X (2013) A new secure transmission for big data based on nested sampling and coprime sampling. In: The 2nd international conference on communications, signal processing, and systems (CSPS’13)

    Google Scholar 

  10. Bouchaffra D (2012) Mapping dynamic bayesian networks to-shapes: application to human faces identification across ages. IEEE Trans Neural Netw Learn Syst 23(8):1229–1241

    Article  Google Scholar 

  11. Neapolitan RE (2004) Learning bayesian networks. Pearson Prentice Hall, Upper Saddle River

    Google Scholar 

  12. McElroy JC, Hendrickson AR, Townsend AM, DeMarie SM (2007) Dispositional factors in internet use: personality versus cognitive style. MIS Q 31:809–820

    Google Scholar 

  13. Phillips JG, Butt S, Blaszczynski A (2006) Personality and self-reported use of mobile phones for games. CyberPsychol Behav 9(6):753–758

    Article  Google Scholar 

  14. Ehrenberg A, Juckes S, White KM, Walsh SP (2008) Personality and self-esteem as predictors of young people’s technology use. CyberPsychol Behav 11(6):739–741

    Article  Google Scholar 

  15. Devaraj S, Easley RF, Crant JM (2008) Research note - how does personality matter? Relating the five-factor model to technology acceptance and use. Inf Syst Res 19(1):93–105

    Article  Google Scholar 

  16. Tse D, Viswanath P (2005) Fundamentals of wireless communication. Cambridge University Press, Cambridge, ISBN 0521845270

    Book  MATH  Google Scholar 

  17. Russell SJ, Norvig P (2010) Artificial intelligence: a modern approach, 3rd edn. Pearson Education, Prentice Hall, Upper Saddle River

    Google Scholar 

  18. Chen J, Liang Q (2014) Rate distortion performance analysis of nested sampling and coprime sampling. EURASIP J Adv Signal Process 1–8

    Google Scholar 

  19. Chen J, Liang Q, (2013) Theoretical performance limits for compressive sensing with random noise. In: Global telecommunications conference (GLOBECOM, (2013) Atlanta. December 2013:3400–3405

    Google Scholar 

Download references

Acknowledgements

This work was supported in part by U.S. Office of Naval Research under Grants N00014-13-1-0043, N00014-11-1-0071, N00014-11-1-0865, and U.S. National Science Foundation under Grants CNS-1247848, CNS-1116749, CNS-0964713.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Junjie Chen .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Chen, J., Liang, Q., Wang, J. (2015). Bandwidth Allocation Based on Personality Traits on Smartphone Usage and Channel Condition. In: Mu, J., Liang, Q., Wang, W., Zhang, B., Pi, Y. (eds) The Proceedings of the Third International Conference on Communications, Signal Processing, and Systems. Lecture Notes in Electrical Engineering, vol 322. Springer, Cham. https://doi.org/10.1007/978-3-319-08991-1_28

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-08991-1_28

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-08990-4

  • Online ISBN: 978-3-319-08991-1

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics