Quality of Service Parameters Estimation Model for Adaptive Bandwidth Service in Mobile Cellular Networks

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  • Jung, Sung Hwan (Department of Industrial Engineering, Seoul National University) ;
  • Hong, Jung Wan (Department of Industrial Systems Engineering, Hansung University) ;
  • Lie, Chang Hoon (Department of Industrial Engineering, Seoul National University)
  • 정성환 (서울대학교 산업공학과) ;
  • 홍정완 (한성대학교 산업시스템공학과) ;
  • 이창훈 (서울대학교 산업공학과)
  • Published : 2007.03.31

Abstract

An adaptive framework paradigm where the bandwidth values of the ongoing calls vary according to the trafficsituations is one of the promising concepts for overcoming poor resource conditions due to handoffs in mobilecellular networks. However, quantifying the level of bandwidth degradation of the ongoing calls in an adaptiveframework is important in view of Quality of Service (QoS) Provisioning. Therefore we introduce new QoSparameters, the Degradation Degree Ratio (DDR), which represents the average portion of the degradationdegree during degradation pehod of a call, and the Degradation Area Ratio (DAR), which represents the averageratio of a call's degradation level considering both the period and the degree of degradation jointly in multi-levelbandwidth service. We also develop a new analytical model for estimating the QoS measures such as theDegradation Pehod Ratio (DPR), DDR and DAR. We show how to calculate the QoS measures and illustrate themethod by numerical examples. The proposed model can be used to determine the optimal parameter of theCAC scheme and analyze the sensitivity ofthe QoS parameters in adaptive networks.

Keywords

References

  1. Ahn, K. M. and Kim, S. (2003), Optimal bandwidth allocation for bandwidth adaptation in wireless multimedia networks, Computers & Operations Research, 30(13), 1917-1929 https://doi.org/10.1016/S0305-0548(02)00115-6
  2. Bharghavan, V, Lee, K. W., Lu, S. W., Ha, S. W., Li, J. R and Dwyer, D. (1998), The timely adaptive resource management architecture. IEEE Personal Communications Magazine, 5(4),20-31
  3. Chou, C. T. and Shin, K. G. (2004), Analysis of adaptive bandwidth allocation in wireless networks with multilevel degradable quality of service, IEEE Transactions on Mobile Computing, 3(1), 5-17 https://doi.org/10.1109/TMC.2004.1261813
  4. Guerin, R(1988), Queueing-blocking system with two arrival streams and guard channels, IEEE Transactions on Communications, 36(2), 153-163 https://doi.org/10.1109/26.2745
  5. Jain, R and Knightly, E. W. (1999), A framework for design and evaluation of admission control algorithms in multiservice mobile networks, Proceedings of the Eighteenth Annual Joint Conference of the IEEE Computer and Communications Societies, 3, 1027-1035
  6. Kwon, T., Choi, Y, Bisdikian, C. and Naghshineh, M. (1998), Call admission control for adaptive multimedia in wireless/ mobile networks, Proceedings of ACM Workshop on Wireless Mobile Multimedia. 111-116
  7. Kwon, T., Choi, Y., Bisdikian, C. and Naghshineh, M. (1999), Measurement-based call admission control for adaptive multimedia in wireless/mobile networks, Proceedings of IEEE Wireless Communications and Networking Corference; 540-544
  8. Kwon, T., Park, I., Choi, Y and Das, S. (1999), Bandwidth adaptation algorithms with multi-objectives for adaptive multimedia services in wireless/mobile networks, Proceeding of ACM Workshop on Wireless/Mobile Multimedia, 51-58
  9. Kwon, T., Choi, Y, Bisdikian, C. and Naghshineh, M. (2003), QoS provisioning in wireless/mobile multimedia networks using an adaptive framework, Wireless Networks, 9(1), 51-59 https://doi.org/10.1023/A:1020877007305
  10. Naghshineh, M. and Willebeek-LeMair, M. (1997). End-to-end QoS provisioning in multimedia wireless/mobile networks using an adaptive framework, IEEE Communications Magazine, 35(11), 72-81
  11. Nasser, N. and Hassanein, H. (2004), Connection-level performance analysis for adaptive bandwidth allocation in multimedia wireless cellular networks, 2004 IEEE International Conference on Performance, Computing, and Communications, 61-68
  12. Ramjee, R., Nagarajan, R. and Towsley, D. (1996), On optimal call admission control in cellular networks INFOCOM'96 Eighteenth Annual Joint Conference of the IEEE Computer and Communications Societies, 1,43-50
  13. Ross, S. M. (2000), Introduction to Probability Models, 7th ed., San Diego: Academic Press
  14. Trivedi, K. S. (2002), Probability and Statistics with Reliability, Queuing and Computer Science Applications, 2nd ed., New York: John Wiley and Sons
  15. Wang, J., Li, M., Yang, X. and Huang, Z. (2001), Utility-based call admission control for adaptive mobile services, Proceedings of International Conference on Computer Networks and Mobile Computing, 91-96
  16. Xiao, Y., Chen, C. L. P. and Wang, Y. (2000), Quality of service and call admission control for adaptive multimedia services in wireless/mobile networks, Proceedings of the IEEE National Aerospace and Electronics Conference, 214-220
  17. Xiao, Y., Chen, C. L. P. and Wang, B. (2002), Bandwidth degradation QoS provisioning for adaptive multimedia in wireless/mobile networks, Computer Communications, 25(13), 1153-1161
  18. Zaruba, G. V.. Chlamtac, I. and Das, S. K. (2002), A prioritized real-time wireless call degradation framework for optimal call mix selection. Mobile Networks and Applications, 7, 143-151 https://doi.org/10.1023/A:1013726921905
  19. Zhao, P. and Zhang, H. M. (2001), A new CAC algorithm for adaptive service in mobile network, Proceedings of International Conferences on Info-tech and Info-net., 2, 199-204. Beijing