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Optimal Load Balancing Algorithm for Multi-Cell LTE Networks

Received: 21 October 2013     Published: 10 March 2014
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Abstract

Long Term Evolution (LTE) is a promising option for the 4th generation communications because of its higher data rates, lower latency and larger coverage. However, in a multi-cell LTE network, the network performance may be deteriorated by load imbalance. The unbalanced load among multiple cells leads to a higher delay and a higher packet drop rate in the over-loaded cell, or an underutilization of resources in the under-loaded cell. In order to solve this problem, we propose a practical load balancing algorithm to find the optimal handover operations between the overloaded cell and possible target cells. The simulation results demonstrate that the proposed algorithm can reduce network overload and increase the network bandwidth efficiency.

Published in International Journal of Wireless Communications and Mobile Computing (Volume 2, Issue 2)
DOI 10.11648/j.wcmc.20140202.11
Page(s) 23-29
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2014. Published by Science Publishing Group

Keywords

Smart Grid, LTE, Load Balancing, Resource Allocation

References
[1] 3GPP TS 36.211: "Evolved Universal Terrestrial Radio Access (E-UTRA); Physical channels and modulation", 3GPP, ver. 9.1.0, rel. 9, 2010.
[2] A. Ghosh and R. Ratasuk, Essentials of LTE and LTE-A, Cambridge University Press, 2011.
[3] F. D. Cardoso and L. M. Correia, "MIMO gain and energy efficiency in LTE," in proc. of 2012 IEEE Wireless Communications and Networking Conference (WCNC), Shanghai, April 2012.
[4] OPNET Modeler network simulation software [Online]. Available: www.opnet.com.
[5] I. Viering, M. Dottling and A. Lobinger, "A mathematical perspective of self-optimizing wireless networks," in proc. of 2009 IEEE International Conference on Communications, June 2009.
[6] A. Lobinger, S. Stefanski, T. Jansen, and I. Balan, "Load balancing in downlink LTE self-optimizing networks," in proc. of 2010 IEEE 71st Vehicular Technology Conference (VTC 2010-Spring), May 2010.
[7] K.A. AliHossam H.S. Hassanein and H.T. Mouftah, "Directional cell breathing based reactive congestion control in WCDMA cellular networks," in proc. of 2007 IEEE 12th Symposium on Computers and Communications (ISCC), July 2007.
[8] J. G. Andrews, R. K. Ganti, M. Haenggi, N. Jindal and S. Weber, "A primer on spatial modeling and analysis in wireless networks," IEEE Communications Magazine, vol. 48, no. 11, pp. 156--163, 2010.
[9] M. M. Tantawy, A. S. T. Eldien and R. M. Zaki, "A novel cross-layer scheduling algorithm for Long Term-Evolution (LTE) wireless system," Canadian Journal on Multimedia and Wireless Networks, vol. 2, no. 4, pp. 57-62, Dec. 2011.
[10] Z. Li, H. Wang, Z. Pan, N. Liu and X. You, "Joint optimization on load balancing and network load in 3GPP LTE multi-cell networks," in proc. of 2011 IEEE International Conference on Wireless Communications and Signal Processing (WCSP), Nov. 2011.
[11] D. Chiu and R. Jain, "Analysis of the increase and decrease algorithms for congestion avoidance in computer networks," Computer Networks and ISDN Systems, vol. 17, no. 1, Jun. 1989.
[12] Y. Yuan and Z. Chen, "A study of algorithm for LTE intra-frequency handover." in proc. of 2011 International Conference on Computer Science and Service System (CSSS), Nanjing, Jun. 2011.
[13] OPNET Modeler network simulation software [Online]. Available: www.opnet.com.
Cite This Article
  • APA Style

    Jian Li, Yifeng He, Yun Tie, Ling Guan. (2014). Optimal Load Balancing Algorithm for Multi-Cell LTE Networks. International Journal of Wireless Communications and Mobile Computing, 2(2), 23-29. https://doi.org/10.11648/j.wcmc.20140202.11

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    ACS Style

    Jian Li; Yifeng He; Yun Tie; Ling Guan. Optimal Load Balancing Algorithm for Multi-Cell LTE Networks. Int. J. Wirel. Commun. Mobile Comput. 2014, 2(2), 23-29. doi: 10.11648/j.wcmc.20140202.11

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    AMA Style

    Jian Li, Yifeng He, Yun Tie, Ling Guan. Optimal Load Balancing Algorithm for Multi-Cell LTE Networks. Int J Wirel Commun Mobile Comput. 2014;2(2):23-29. doi: 10.11648/j.wcmc.20140202.11

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  • @article{10.11648/j.wcmc.20140202.11,
      author = {Jian Li and Yifeng He and Yun Tie and Ling Guan},
      title = {Optimal Load Balancing Algorithm for Multi-Cell LTE Networks},
      journal = {International Journal of Wireless Communications and Mobile Computing},
      volume = {2},
      number = {2},
      pages = {23-29},
      doi = {10.11648/j.wcmc.20140202.11},
      url = {https://doi.org/10.11648/j.wcmc.20140202.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.wcmc.20140202.11},
      abstract = {Long Term Evolution (LTE) is a promising option for the 4th generation communications because of its higher data rates, lower latency and larger coverage. However, in a multi-cell LTE network, the network performance may be deteriorated by load imbalance. The unbalanced load among multiple cells leads to a higher delay and a higher packet drop rate in the over-loaded cell, or an underutilization of resources in the under-loaded cell. In order to solve this problem, we propose a practical load balancing algorithm to find the optimal handover operations between the overloaded cell and possible target cells. The simulation results demonstrate that the proposed algorithm can reduce network overload and increase the network bandwidth efficiency.},
     year = {2014}
    }
    

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  • TY  - JOUR
    T1  - Optimal Load Balancing Algorithm for Multi-Cell LTE Networks
    AU  - Jian Li
    AU  - Yifeng He
    AU  - Yun Tie
    AU  - Ling Guan
    Y1  - 2014/03/10
    PY  - 2014
    N1  - https://doi.org/10.11648/j.wcmc.20140202.11
    DO  - 10.11648/j.wcmc.20140202.11
    T2  - International Journal of Wireless Communications and Mobile Computing
    JF  - International Journal of Wireless Communications and Mobile Computing
    JO  - International Journal of Wireless Communications and Mobile Computing
    SP  - 23
    EP  - 29
    PB  - Science Publishing Group
    SN  - 2330-1015
    UR  - https://doi.org/10.11648/j.wcmc.20140202.11
    AB  - Long Term Evolution (LTE) is a promising option for the 4th generation communications because of its higher data rates, lower latency and larger coverage. However, in a multi-cell LTE network, the network performance may be deteriorated by load imbalance. The unbalanced load among multiple cells leads to a higher delay and a higher packet drop rate in the over-loaded cell, or an underutilization of resources in the under-loaded cell. In order to solve this problem, we propose a practical load balancing algorithm to find the optimal handover operations between the overloaded cell and possible target cells. The simulation results demonstrate that the proposed algorithm can reduce network overload and increase the network bandwidth efficiency.
    VL  - 2
    IS  - 2
    ER  - 

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Author Information
  • Department of Electrical and Computer Engineering, Ryerson University, Toronto, Canada

  • Department of Electrical and Computer Engineering, Ryerson University, Toronto, Canada

  • Department of Electrical and Computer Engineering, Ryerson University, Toronto, Canada

  • Department of Electrical and Computer Engineering, Ryerson University, Toronto, Canada

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