Optimal Load Balancing Algorithm for Multi-Cell LTE Networks

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.

[1]  Hossam S. Hassanein,et al.  Directional Cell Breathing Based Reactive Congestion Control in WCDMA Cellular Networks , 2007, 2007 12th IEEE Symposium on Computers and Communications.

[2]  Yanbin Yuan,et al.  A study of algorithm for LTE intra-frequency handover , 2011, 2011 International Conference on Computer Science and Service System (CSSS).

[3]  Raj Jain,et al.  Analysis of the Increase and Decrease Algorithms for Congestion Avoidance in Computer Networks , 1989, Comput. Networks.

[4]  Mohsen M. Tantawy,et al.  A Novel Cross-Layer Scheduling Algorithm for Long Term-Evolution (LTE) Wireless System , 2011 .

[5]  Amitava Ghosh,et al.  Essentials of Lte and Lte-A , 2011 .

[6]  Ingo Viering,et al.  A Mathematical Perspective of Self-Optimizing Wireless Networks , 2009, 2009 IEEE International Conference on Communications.

[7]  Andreas Lobinger,et al.  Load Balancing in Downlink LTE Self-Optimizing Networks , 2010, 2010 IEEE 71st Vehicular Technology Conference.

[8]  Rapeepat Ratasuk,et al.  Essentials of LTE and LTE-A: Frontmatter , 2011 .

[9]  Xiaohu You,et al.  Joint optimization on load balancing and network load in 3GPP LTE multi-cell networks , 2011, 2011 International Conference on Wireless Communications and Signal Processing (WCSP).

[10]  Luís M. Correia,et al.  MIMO gain and energy efficiency in LTE , 2012, 2012 IEEE Wireless Communications and Networking Conference (WCNC).

[11]  Jeffrey G. Andrews,et al.  A primer on spatial modeling and analysis in wireless networks , 2010, IEEE Communications Magazine.