Dynamically Alternating Power Saving Scheme for IEEE 802.16e Mobile Broadband Wireless Access Systems

  • Chang, Jau-Yang (Department of Computer Science and Information Engineering, National Formosa University) ;
  • Lin, Yu-Chen (Department of Computer Science and Information Engineering, National Formosa University)
  • Received : 2011.07.31
  • Published : 2012.04.30

Abstract

Power saving is one of the most important features that extends the lifetime of portable devices in mobile wireless networks. The IEEE 802.16e mobile broadband wireless access system adopts a power saving mechanism with a binary truncated exponent algorithm for determining sleep intervals. When using this standard power saving scheme, there is often a delay before data packets are received at the mobile subscriber station (MSS). In order to extend the lifetime of a MSS, the battery energy must be used efficiently. This paper presents a dynamically alternating sleep interval scheduling algorithm as a solution to deal with the power consumption problem. We take into account different traffic classes and schedule a proper sequence of power saving classes. The window size of the sleep interval is calculated dynamically according to the packet arrival rate. We make a tradeoff between the power consumption and packet delay. The method achieves the goal of efficiently reducing the listening window size, which leads to increased power saving. The performance of our proposed scheme is compared to that of the standard power saving scheme. Simulation results demonstrate the superior performance of our power saving scheme and its ability to strike the appropriate performance balance between power saving and packet delay for a MSS in an IEEE 802.16e mobile broadband wireless access system.

Keywords

References

  1. "Part 16: Air interface for fixed broadband wireless access systems," Standard for Local and Metropolitan Area Networks, IEEE 802.16-2004, Oct. 2004.
  2. "Part 16: Air interface for broadband wireless access systems amendment for physical and medium access control layers for combined fixed and mobile operation in licensed bands," IEEE Standard for Local and Metropolitan Area Networks, IEEE 802.16e-2006, Feb. 2006.
  3. J. Jang, K. Han, and S. Choi, "Adaptive power saving strategies for IEEE 802.16e mobile broadband wireless access," in Proc. APCC, Aug. 2006.
  4. S. Zhu and T. Wang, "Enhanced power efficient sleep mode operation for IEEE 802.16e based WiMAX," in Proc. IEEE Mobile WiMAX Symp., Mar. 2007, pp. 43-47.
  5. O. J. Vatsa, M. Raj, R. Kumar, D. Panigrahy, and D. Das, "Adaptive power saving algorithm for mobile subscriber station in 802.16e," in Proc. IEEE CoMsware, 2007.
  6. K. Han and S. Choi, "Performance analysis of sleep mode operation in IEEE 802.16e mobile broadband wireless access systems," in Proc. IEEE VTC, vol. 3, 2006, pp. 1141-1145.
  7. J.-R. Lee and D.-H. Cho, "Performance evaluation of energy-saving mechanism based on probabilistic sleep interval decision algorithm in IEEE 802.16e," IEEE Trans. Veh. Technol., vol. 56, no. 4, pp. 1773-1780, 2007. https://doi.org/10.1109/TVT.2007.897232
  8. M. G. Kim, M. Kang, and J. Y. Choi, "Remaining energy-aware power management mechanism in IEEE 802.16e MAC," in Proc. IEEE CCNC, 2008, pp. 222-226.
  9. E. Hwang, K. J. Kim, J. J. Son, and B. D. Choi, "The power-saving mechanism with periodic traffic indications in the IEEE 802.16e/m," IEEE Trans. Veh. Technol., vol. 59, no. 1, pp. 319-334, 2010. https://doi.org/10.1109/TVT.2009.2032193
  10. Y. Zhang, "Performance modeling of energy management mechanism in IEEE 802.16e mobile WiMAX," in Proc. IEEE WCNC, 2007, pp. 3205-3209.
  11. Y. Zhang and M. Fujise, "Energy management in the IEEE 802.16e MAC," IEEE Commun. Lett., vol. 10, no. 4, pp. 311-313, Apr. 2006. https://doi.org/10.1109/LCOMM.2006.1613757
  12. Y. Xiao, "Performance analysis of an energy saving mechanism in the IEEE 802.16e wireless MAN," in Proc. IEEE CCNC, 2006, pp. 406-410.
  13. Y. Xiao, "Energy saving mechanism in the IEEE 802.16e wireless MAN," IEEE Commun. Lett., vol. 9, no. 7, pp. 595-597, Apr. 2005. https://doi.org/10.1109/LCOMM.2005.1461675
  14. T.-C Chen, J.-C. Chen, and Y.-Y Chen, "Maximizing unavailability interval for energy saving in IEEE 802.16e wireless MANs," IEEE Trans. Mobile Comput.., vol. 8, no. 4, pp. 475-487, 2009. https://doi.org/10.1109/TMC.2008.124
  15. J. Lee and D. Cho, "An optimal power-saving class II for VoIP Traffic and its performance evaluation in IEEE 802.16e," Computer Commun., vol. 31, no. 14, pp. 3204-3208, 2008. https://doi.org/10.1016/j.comcom.2008.04.029
  16. L. Kong and D. H. K. Tsang, "Performance study of power saving classes of type I and II in IEEE 802.16e," in Proc. IEEE Local Comput. Netw. Conf., Nov. 2006, pp. 20-27.
  17. L. Kong and D. H. K. Tsang, "Optimal selection of power saving classes in IEEE 802.16e," in Proc. IEEE WCNC, Mar. 2007, pp. 1838-1843.
  18. H.-H Choi and D.-H. Cho, "Hybrid energy-saving algorithm consider silent periods of VoIP traffic for mobile WiMAX," in Proc. IEEE ICC, June 2007, pp. 5951-5956.
  19. J.-Y. Chang and H.-L. Chen, "Dynamic-grouping bandwidth reservation scheme for multimedia wireless networks," IEEE J. Sel. Areas Commun., vol. 21, no. 10, pp. 1566-1574, 2003. https://doi.org/10.1109/JSAC.2003.814863
  20. A. Malla, M. El-Kadi, S. Olariu, and P. Todorova, "A fair resource allocation protocol for multimedia wireless networks," IEEE Trans. Parallel Distrib. Syst., vol. 14, no. 1, pp. 63-71, 2003. https://doi.org/10.1109/TPDS.2003.1167371