Efficient UMTS Location Update and Management Based on Wavelet Neural Networks

Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 247)


Mobility management in wireless cellular networks is gaining more attention because of the increase in usage of mobile devices. As the number of mobile users increases rapidly, there is a need for efficient location management. Location management (LM) tracks mobile devices and locate them prior to establishing incoming calls. As the cell size becomes smaller the signalling cost increased in both location update and paging. In order to deal with the signalling cost issues, an efficient user activity based location management technique (UALM) is introduced in this paper. UALM is a profile based LM scheme, where the network takes the users past movement pattern and makes decisions on the future update and paging. This paper presents a novel intelligent Wavelet Neural Network (WNN) based UALM learning strategy to solve the LM problem in UMTS networks. A systematic comparative analysis is made with the existing location management schemes. The results show that the proposed WNN based UALM learning decreases the signalling cost. The proposed technique has the potential to reduce the network signalling cost and total LM cost that must be made to locate the users.


Location Management Wireless Networks Wavelet Neural network Location update paging 


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  1. 1.
    Bar-Noy, A., Kessler, I., Sidi, M.: Mobile Users: To update or not to update? ACM Balter J. Wireless Networks 1(2), 175–186 (1995)CrossRefGoogle Scholar
  2. 2.
    Rose, C.: Minimizing the average cost of paging and registration approach: A time based method. ACM-Baltzer. Wireless Networks 2(2), 109–116 (1996)CrossRefGoogle Scholar
  3. 3.
    Akyildiz, I.F., Ho, J.S.M., Lin, Y.B.: Movement based location update and selective paging for PCS networks. IEEE/ACM Trans. Networking 4(4), 629–638 (1996)CrossRefGoogle Scholar
  4. 4.
    Li, J., Pan, Y., Jia, X.: Analysis of dynamic location management for PCS network. IEEE Trans. Vehicular Technology 51(5), 1109–1119 (2002)CrossRefGoogle Scholar
  5. 5.
    Mao, Z., Douligeris, C.: A location based mobility tracking scheme for PCS networks. Computer Communication 23(18), 1729–1739 (2000)CrossRefGoogle Scholar
  6. 6.
    Xiao, Y.: Optimal Fractional movement based scheme for PCS location management. IEEE Comm. Letters 7(2), 67–69 (2003)CrossRefGoogle Scholar
  7. 7.
    Wong, V., Leung, V.: An adaptive distance based location update algorithm for next generation PCS networks. IEEE J. Selected Areas in Comm. 19(10), 1942–1952 (2001)CrossRefGoogle Scholar
  8. 8.
    Liang, B., Haas, Z.J.: Predictive distance-based mobility management for PCS networks. In: Proceedings of the IEEE Eighteenth Annual Joint Conference of the IEEE Computer and Communications Societies, vol. 3, pp. 1377–1384. IEEE (1999)Google Scholar
  9. 9.
    Wong, V.W.S., Leung, V.C.M.: Location management for next-generation personal communications network. IEEE Network 14(5), 18–24 (2000)CrossRefGoogle Scholar
  10. 10.
    Quintero, A.: A User Pattern Learning Strategy for Managing Users’ Mobility in UMTS Networks. IEEE Trans. on Mobile Comuting 4(6), 552–566 (2005)CrossRefGoogle Scholar
  11. 11.
    Lyberopoulos, G.L.: Intelligent Paging Strategies for Third Generation Mobile Telecommunication Systems. IEEE Transactions on Vehicular Technology 44(3), 543–554 (1995)CrossRefGoogle Scholar
  12. 12.
    Awduche, D.O., Ganz, A., Gaylord, A.: An optimal search strategy for mobile stations in wireless networks. In: 5th IEEE International Conference on Universal Personal Communications, vol. 2, pp. 946–950 (1996)Google Scholar
  13. 13.
    Pollini, G.P., Chih-Lin, I.: A profile-based location strategy and its performance. IEEE Journal on Selected Areas on Communication 15(8), 1415–1424 (1997)CrossRefGoogle Scholar
  14. 14.
    Jain, R., et al.: A caching strategy to reduce networks impacts of PCS. IEEE Journal on Selected Areas on Communication 12, 1434–1444 (1994)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • J. Amar Pratap Singh
    • 1
  • J. Dheeba
    • 1
  • N. Albert Singh
    • 2
  1. 1.Department of Computer Science and EngineeringNoorul Islam UniversityKumaracoilIndia
  2. 2.Bharat Sanchar Nigam LimitedNagercoilIndia

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