Adaptive Periodic MLB Algorithm for LTE Femtocell Networks

- Journal title : The Journal of Korean Institute of Communications and Information Sciences
- Volume 38C, Issue 9, 2013, pp.764-774
- Publisher : The Korean Institute of Communications and Information Sciences
- DOI : 10.7840/kics.2013.38C.9.764

Title & Authors

Adaptive Periodic MLB Algorithm for LTE Femtocell Networks

Kim, Woojoong; Lee, Jeong-Yoon; Suh, Young-Joo;

Kim, Woojoong; Lee, Jeong-Yoon; Suh, Young-Joo;

Abstract

The number of users and data packets has increased in 4G cellular networks. Therefore, 4G cellular network providers suffer from the network capacity problem. In order to solve this problem, femtocell concept is suggested. It can reduce the coverage hole and enhance the QoS. However, only small number of femtocells experience the large amount of loads. To solve this problem, Mobility Load Balancing (MLB) algorithm is suggested, which is a kind of load balancing algorithm. To distribute the traffic load, MLB algorithm modifies the handover region. If the handover region is reduced by MLB algorithm, some cell edge users are compulsively handed over to neighbor femtocell. In this paper, we analyze the relation between MLB performing period and performance indicators. For example throughput and blocking probability is reduced, if period is decreased. On the contrast, if period is increased, the number of handover frequency is decreased. Using this relation, we suggest the adaptive periodic MLB algorithm. This algorithm includes the advantage of both long period and short period MLB algorithm, such as high throughput, the small number of handover frequency, and low blocking probability.

Keywords

LTE;Femtocell;Load Balancing;Self-Optimization Network;MLB;

Language

Korean

Cited by

References

1.

V. Chandrasekhar, J. Andrews, and A. Gatherer, "Femtocell networks: a survey," IEEE Commun. Mag., vol. 46, no. 9, pp. 59-67, Sep. 2008.

2.

S. Yeh, S. Talwar, S. C. Lee, and H. Kim, "WiMAX femtocells: a perspective on network architecture, capacity, and coverage," IEEE Commun. Mag., vol. 46, no. 10, pp. 58-65, Oct. 2008.

3.

O. G. Aliu, A. Imran, M. A. Imran, and B. Evans, "A survey of self organization in future cellular networks," IEEE Commun. Surveys Tutorials, vol. 15, no. 1, pp. 336-361, First Quarter 2013.

4.

A. Lobinger, S. Stefanski, T. Jansen, and I. Balan, "Load balancing in downlink LTE self-optimizing networks," in Proc. IEEE Veh. Technol. Conf. Spring (VTC 2010-Spring), pp. 1-5, Taipei, Taiwan, May 2010.

5.

R. Kwan, R. Arnott, R. Paterson, R. Trivisonno, and R. Kubota, "On mobility load balancing for LTE systems," in Proc. IEEE Veh. Technol. Conf. Fall (VTC 2010-Fall), pp. 1-5, Ottawa, Canada, Sep. 2010.

6.

W. Kim, J. Y. Lee, and Y. J. Suh, "A study on the periodic mobility load balancing algorithm in LTE femtocell networks," in Proc. KICS Winter Conf. 2013, pp. 246-247, Yongpyeong, Korea, Jan. 2013.

7.

G. Piro, L. A. Grieco, G. Boggia, F. Capozzi, and P. Camarda, "Simulating LTE cellular systems: all open-source frameworks," IEEE Trans. Veh. Technol., vol. 60, no. 2, pp. 498-513, Oct. 2010.

8.

K. Dimou, M. Wang, Y. Yang, M. Kazmi, A. Larmo, J. Pettersson, W. Muller, and Y. Timner, "Handover within 3GPP LTE: design principles and performance," in Proc. IEEE Veh. Technol. Conf. Fall (VTC 2009-Fall), pp. 1-5, Anchorage, U.S.A., Sep. 2009.