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Journal of Optical Communications and Networking

Journal of Optical Communications and Networking

  • Editors: K. Bergman and V. Chan
  • Vol. 2, Iss. 12 — Dec. 1, 2010
  • pp: 1052–1062

Nonlinear Predictor-Based Dynamic Resource Allocation Over Point-to-Multipoint (P2MP) Networks: A Control Theoretical Approach

Si Yin and Nirwan Ansari  »View Author Affiliations

Journal of Optical Communications and Networking, Vol. 2, Issue 12, pp. 1052-1062 (2010)

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Most broadband access networks such as passive optical networks (PONs) adopt the point-to-multipoint (P2MP) topology. One critical issue in such networks is the upstream resource management and allocation mechanism. Nonlinear predictor-based dynamic resource allocation (NLPDRA) schemes for improving the P2MP network upstream transmission efficiency have been investigated in an ad hoc manner. In this paper, we establish a general state space model to analyze the controllability and stability of the NLPDRA schemes from the P2MP network system’s point of view and propose controller design guidelines to maintain the system stability under different scenarios. Analytical results show that NLPDRA maintains the P2MP network system controllability even when the loaded network traffic changes drastically. We further prove that a P2MP network system with NLPDRA is stable by proper pole placements as the traffic changes. Finally, we provide guidelines to design a optimal compensator to achieve system accuracy.

© 2010 Optical Society of America

OCIS Codes
(060.4250) Fiber optics and optical communications : Networks
(060.4510) Fiber optics and optical communications : Optical communications

ToC Category:
Research Papers

Original Manuscript: February 22, 2010
Revised Manuscript: September 13, 2010
Manuscript Accepted: September 13, 2010
Published: November 23, 2010

Si Yin and Nirwan Ansari, "Nonlinear Predictor-Based Dynamic Resource Allocation Over Point-to-Multipoint (P2MP) Networks: A Control Theoretical Approach," J. Opt. Commun. Netw. 2, 1052-1062 (2010)

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  1. A. Girard, FTTx PON Technology and Testing. Quebec City, Canada: EXFO Electro-Engineering Inc., 2005.
  2. IEEE Standard 802.3ah-2004.
  3. ITU-T, Gigabit-Capable Passive Optical Networks (GPON): General Characteristics, ITU-T G.984.1 Recommendation, 2003.
  4. ITU-T, Broadband Optical Access Systems Based on Passive Optical Networks (PON), ITU-T G.983.1 Recommendation, 2005.
  5. “MPCP—state of the art,” PDF presentation, 2002. Available: http://www.ieee802.org/3/efm/public/jan02/maislos_1_0102.pdf.
  6. H. Byun, J. Nho, J. Lim, “Dynamic bandwidth allocation algorithm in Ethernet passive optical networks,” Electron. Lett., vol. 39, no. 13, pp. 1001–1002, June 2003. [CrossRef]
  7. Y. Luo, N. Ansari, “Bandwidth allocation for multiservice access on EPONs,” IEEE Commun. Mag., vol. 43, no. 2, pp. S16–S21, Feb. 2005. [CrossRef]
  8. Y. Luo, N. Ansari, “Limited sharing with traffic prediction for dynamic bandwidth allocation and QoS provisioning over Ethernet passive optical networks,” J. Opt. Netw., vol. 4, no. 9, pp. 561–572, Sept. 2005. [CrossRef]
  9. S. Yin, Y. Luo, N. Ansari, T. Wang, “Controllability of non-linear predictor-based dynamic bandwidth allocation over EPONs,” in Proc. IEEE GLOBECOM 2007, Washington, DC, 2007, pp. 2199–2203.
  10. S. Yin, Y. Luo, N. Ansari, T. Wang, “Non-linear predictor-based dynamic bandwidth allocation over TDM-PONs: stability analysis and controller design,” in Proc. IEEE Int. Conf. on Communications (ICC 2008), Beijing, China, 2008, pp. 5186–5190.
  11. S. Haykin, Adaptive Filter Theory, 3rd ed.Prentice-Hall, 1996.
  12. S. Yin, Y. Luo, N. Ansari, T. Wang, “Bandwidth allocation over EPONs: a controllability perspective,” in Proc. IEEE GLOBCOM 2006, San Francisco, CA, 2006.
  13. Z. Bubnicki, Modern Control Theory. Berlin: Springer, 2005.
  14. C. T. Chen, Linear System Theory and Design, 3rd ed.Oxford U. Press, 1999.
  15. S. Yin, Y. Luo, N. Ansari, T. Wang, “Stability of predictor-based dynamic bandwidth allocation over EPONs,” IEEE Commun. Lett., vol. 11, no. 6, pp. 549–551, June 2007. [CrossRef]
  16. E. I. Jury, Inners and Stability of Dynamic Systems, 2nd ed. Malabar, FL: Krieger, 1982.
  17. J. Hellerstein, Y. Diao, S. Parekh, D. Tilbury, Feedback Control of Computing Systems. Hoboken, NJ: Wiley-Interscience, 2004. [CrossRef]
  18. C. V. Hollot, V. Misra, D. Towsley, W. Gong, “A control theoretic analysis of RED,” in Proc. of IEEE INFOCOM 2001, Anchorage, AK, 2001, vol. 3, pp 1510–1519.
  19. K. Y. Kim, B. S. Kim, Y. B. Choi, S. T. Ko, K. S. Kim, “Optimal rate based flow control for ABR services in ATM networks,” in Proc. of IEEE TENCON’99, Korea, 1999, vol. 1, pp. 773–776.

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