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 |
Smart Grid, LTE, Load Balancing, Resource Allocation
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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
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
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
@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} }
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 -