Abstract
The objective of mobility load balancing (MLB) is to intelligently spread user traffic load out on a network in order to avoid degradation of end-user experience and performance due to overloaded or congested cells. The load standard deviation (LSD) as a new key performance indicator (KPI) for MLB performance evaluation has been proposed in the paper. The paper aims to minimize the LSD over network level for equally spreading cell load out on a network with low radio resource control (RRC) signaling load. To support the MLB function enhancement for self-organizing network (SON), the novel MLB algorithm has been proposed in this paper. The performance of the algorithm has been analyzed and compared through computer simulations as well.
According to the results, we found that the proposed MLB algorithm can reduce the LSD from 7.48 % to 60.74 %. On the other hand, we observed that the proposed MLB algorithm required 10.79 % more handovers than the non-MLB operation.
Moreover, the overall number of RLF was produced as many as 140 from the proposed MLB algorithm operation. This information indicates that MLB and mobility robustness optimization (MRO) coordination is needed for reducing the number of RLF. Furthermore, looking at the impacts of RLF, we can conclude that MRO should have higher priority than MLB.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Yamamoto, T., Komine, T., Konishi, S.: Mobility load balancing scheme based on cell reselection. In: The Eighth International Conference on Wireless and Mobile Communications Mobility, pp. 381–387. IARIA, Venice (2012)
Zia, N., Mitschele-Thiel, A.: Self-organized neighborhood mobility load balancing for LTE networks. In: IFIP Wireless Days, pp. 1–6 (2013)
Lobinger, A., Stefanski, S., Jansen, T., Balan, I.: Coordinating handover parameter optimization and load balancing in LTE self-optimizing networks. In: IEEE Vehicular Technology Conference Spring, pp. 1–5. IEEE Press, Yokohama (2011)
Marwat, S., Meyer, S., Weerawardane, T., Goerg, C.: Congestion-aware handover in LTE systems for load balancing in transport network. ETRI J. 36, 761–771 (2014)
3GPP: Evolved Universal Terrestrial Radio Access (E-UTRA); Requirements for support of radio resource management. TS 36.133, 3GPP (2010). http://www.3gpp.org/DynaReport/36133.htm
3GPP: Evolved Universal Terrestrial Radio Access (E-UTRA); Radio Resource Control (RRC); Protocol specification. TS 36.331, 3GPP (2010). http://www.3gpp.org/DynaReport/36331.htm
3GPP: Small cell enhancements for E-UTRA and E-UTRAN - Physical layer aspects. TS 36.872, 3GPP. (2013). http://www.3gpp.org/DynaReport/36872.htm
NS3: discrete-event network simulator 3. version 3.23, NS3 Consortium (2015). https://www.nsnam.org/
Acknowledgments
This work was supported by Institute for Information & communications Technology Promotion(IITP) grant funded by the Korea government(MSIP)(No. R0101-16-244, Development of 5G Mobile Communication Technologies for Hyper-connected smart services.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing AG
About this paper
Cite this paper
Oh, S., Kim, H., Na, J., Kim, Y., Kwon, S. (2016). Mobility Load Balancing Enhancement for Self-Organizing Network over LTE System. In: Galinina, O., Balandin, S., Koucheryavy, Y. (eds) Internet of Things, Smart Spaces, and Next Generation Networks and Systems. ruSMART NEW2AN 2016 2016. Lecture Notes in Computer Science(), vol 9870. Springer, Cham. https://doi.org/10.1007/978-3-319-46301-8_17
Download citation
DOI: https://doi.org/10.1007/978-3-319-46301-8_17
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-46300-1
Online ISBN: 978-3-319-46301-8
eBook Packages: Computer ScienceComputer Science (R0)