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Approximate Optimization for Proportional Fair AP Association in Multi-rate WLANs

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Wireless Algorithms, Systems, and Applications (WASA 2010)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6221))

Abstract

In this study, we investigate the problem of achieving proportional fairness via Access Point (AP) association in multi-rate WLANs. This problem is formulated as a non-linear program with an objective function of maximizing the total user bandwidth utilities in the whole network. It is NP-hard, and therefore effort in this paper is made to seek approximate solutions. We propose a centralized algorithm to derive the user-AP association via relaxation. Such a relaxation may cause a large integrality gap. Therefore a compensation function is introduced to guarantee that our algorithm can achieve at least half of the optimal solution in the worst-case scenario theoretically. Extensive simulation study has been reported to validate and compare the performances of our algorithms with those of the state-of-the-art.

Supported by National Natural Science Foundation of China (no.60873252), National Major Basic Research Program of China (no.2009CB320503), and the US National Science Foundation (CNS-0831852).

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References

  1. Tan, G., Guttag, J.: Time-based Fairness Improves Performance in Multi-rate WLANs. In: The USENIX Annual Technical Conf., Boston (2004)

    Google Scholar 

  2. Bertsekas, D., Gallager, R.: Data Networks, pp. 524–529. Prentice-Hall, Englewood Cliffs (1987)

    Google Scholar 

  3. Kelly, F.P.: Charging and rate control for elastic traffic. European Transactions on Telecommunications 8(1), 33–37 (1997)

    Article  Google Scholar 

  4. Li, L., Pal, M., Yang, Y.R.: Proportional Fairness in Multi-rate Wireless LANs. In: IEEE INFOCOM, Phoenix, pp. 1004–1012 (2008)

    Google Scholar 

  5. Bredel, M., Fidler, M.: Understanding Fairness and its Impact on Quality of Service in IEEE 802.11. In: IEEE INFOCOM, Rio de Janeiro, pp. 1098–1106 (2009)

    Google Scholar 

  6. Abusubaih, M., Wolisz, A.: An Optimal Station Association Policy for Multi-Rate IEEE 802.11 Wireless LANs. In: 10th ACM Symposium MSWiM, pp. 117–123 (2007)

    Google Scholar 

  7. Rahul, H., Edalat, F., Katabi, D., Sodini, C.: Frequency-Aware Rate Adaptation and MAC Protocols. In: 15th ACM International Conf. MobiCom, Beijing, pp. 193–204 (2009)

    Google Scholar 

  8. Bejerano, Y., Han, S.-J., Li, L.E.: Fairness and load balancing in wireless LANs using association control. IEEE/ACM Trans. Networking 15(3), 560–573 (2007)

    Article  Google Scholar 

  9. High-speed Physical Layer in the 5 GHz Band, IEEE Standard 802.11a (1999)

    Google Scholar 

  10. Azar, Y., Epstein, A.: Convex Programming for Scheduling Unrelated Parallel Machines. In: 30th ACM symposium Theory of computing, Baltimore, pp. 331–337 (2005)

    Google Scholar 

  11. Shmoys, D.B., Tardos, E.: An approx algorithm for the generalized assignment problem. Math. Program 62(3), 461–474 (1993)

    Article  MATH  Google Scholar 

  12. Radio Resource Measurement of Wireless LANs, IEEE Standard 802.11k (2008)

    Google Scholar 

  13. Viterbi, A.J.: CDMA: Principles of Spread Spectrum Communication, pp. 185–186. Addison-Wesley, New York (1995)

    MATH  Google Scholar 

  14. Jain, R., Chiu, D.-M., Hawe, W.R.: A quantitative measure of fairness and discrimination for resource allocation in shared computer system. Digital Equipment, Technical report, DEC-TR-301 (1984)

    Google Scholar 

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Li, W., Cui, Y., Wang, S., Cheng, X. (2010). Approximate Optimization for Proportional Fair AP Association in Multi-rate WLANs. In: Pandurangan, G., Anil Kumar, V.S., Ming, G., Liu, Y., Li, Y. (eds) Wireless Algorithms, Systems, and Applications. WASA 2010. Lecture Notes in Computer Science, vol 6221. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14654-1_5

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  • DOI: https://doi.org/10.1007/978-3-642-14654-1_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-14653-4

  • Online ISBN: 978-3-642-14654-1

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