A cluster based load balancing in long term evaluation self optimization network

  • Authors

    • R. Nandhini
    • R. Udaya Nirmala Mary
    2017-12-31
    https://doi.org/10.14419/ijet.v7i1.3.8977
  • Clustering Algorithm, Long-Term Evaluation (LTE), Enhanced Protocol Software, Self-Optimizing Networks (Sons).

  • Abstract

    Load Balancing (lb) is an important use case in long-term evaluation (lte) self-optimizing networks (sons). To overcome the potential ping-pong load transfer and low-convergence issues, we propose a clustering algorithm in lte son  to solve the asymmetry traffic distribution among multiple cells .The proposed algorithm, which is referred to as clustering algorithm which optimally redistributes the load of cells to the multiple cells on clustering. Thus the clustered nodes formed selects the cluster head based upon the efficiency of the node. The cluster head is responsible for gathering the information about all the nodes within and outside the cluster, thus the speed gets increased and convergence time gets reduced by this method the hidden node problem gets avoided by implementing the enhanced protocol.

  • References

    1. [1] “Self-Organizing Networks (SON) concepts and requirements,†Sophia-Antipolis, France, 3GPP TS 32.500,2009.

      [2] “Self-configuring and self-optimizing network use cases and solutions,†Sophia-Antipolis, France, 3GPP TR 36.902, 2009.

      [3] R. Nasri and Z. Altman, “Handover adaptation for dynamic load balancing in 3GPP long term evolution systems,†in Proc. Int. Conf. Adv. MoMM, Dec. 2007, pp. 1–9.

      [4] “Radio Resource Control (RRC),†Sophia-Antipolis, France, 3GPP TS36.331 V10.1.0, Mar. 2011.

      [5] R. Kwan, R. Arnott, R. Paterson, R. Trivisonno, and M. Kubota, “On mobility load balancing for LTE systems,†in Proc. IEEE VTC-Fall, 2010, 1–5.

      [6] A. Lobinger, S. Stefanski, T. Jansen, and I. Balan, “Load balancing in downlink LTE self-optimizing networks,†in Proc. IEEE VTC-Fall, 2010,

      [7] H. Zhang, X. Qiu, L. Meng, and X. Zhang, “Design of distributed and autonomic load balancing for self-organization LTE,†in Proc. IEEE VTC-Fall, 2010, pp. 1–5.

      [8] I. Viering, M. Dottling, and A. Lobinger, “A mathematical perspective of self-optimizing wireless networks,†in Proc. IEEE ICC, 2009, pp. 1–6.

      [9] A. B. MacKenzie and S. B. Wicker, “Game theory and the design of self-configuring, adaptive wireless networks,†IEEE Commun. Mag., vol. 39, no. 11, pp. 126–131, Nov. 2001.

      [10] H. He, X. Wen, W. Zheng, Y. Sun, and B. Wang, “Game theory based load balancing in self-optimizing wireless networks,†in Proc. 2nd Int.Conf. Comput. Autom. Eng., 2010, pp. 415–418.

      [11] A. Awada, B. Wegmann, I. Viering, and A. Klein, “A game-theoretic approach to load balancing in cellular

      [12] radio networks,†in Proc. IEEE 21stInt. Symp. Pers., Indoor Mobile Radio Commun., 2010, pp. 1184–1189.

      [13] H. Tian, F. Jiang, and W. Cheng, “A game theory based load-balancing routing with cooperation stimulation for wireless ad hoc networks,†in Proc. 11th IEEE Int. Conf. High Perform. Comput. Commun., 2009.

      [14] “Requirement for further enhancement of MLB,†presented at the 3GPP TSG-RAN WG3 Meeting #68, Montreal, QC, Canada, May 10–14, 2010, Paper R3-101477.

      [15] “An enhancement for MLB,†presented at the 3GPP TSG-RAN WG3 Meeting #69, Madrid, Spain, Aug. 23–27, 2010, Paper R3-102107.

      [16] H. Wu, C. Qiao, S. De, and O. Tonguz, “Integrated cellular and ad hoc relaying systems: iCAR,†IEEE J. Sel. Areas Commun., vol. 19, no. 10.

      [17] “X2 application protocol,†Sophia-Antipolis, France, 3GPP TS36.423, 2011.

      [18] “Technical specification group radio access network; Evolved Univer-sal Terrestrial Radio Access (E-UTRA); physical layer—Measurements (Release 8),†Sophia-Antipolis, France, 3GPP TS 36.214, 2011.

      [19] E. Altman and Z. Altman, “S-modular games and power control in wire-less networks,†IEEE Trans. Autom. Control, vol. 48, no. 5, pp. 839–842, May 2003.

      [20] E.Ramakalaivani , G.Suganya,J.kiruba “Review on K Means and Fuzzy C Means Clustering Algorithmâ€, Imperial Journal of Interdisciplainary Research(IJIR) vol .3 issue 2 ,2017.

  • Downloads

  • How to Cite

    Nandhini, R., & Udaya Nirmala Mary, R. (2017). A cluster based load balancing in long term evaluation self optimization network. International Journal of Engineering & Technology, 7(1.3), 9-12. https://doi.org/10.14419/ijet.v7i1.3.8977

    Received date: 2017-12-30

    Accepted date: 2017-12-30

    Published date: 2017-12-31