JOURNAL BROWSE
Search
Advanced SearchSearch Tips
Autonomous Load Balancing Method in a Wireless Network Inspired by Synchronization Phenomena in the Nature
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
Autonomous Load Balancing Method in a Wireless Network Inspired by Synchronization Phenomena in the Nature
Park, Jaesung;
  PDF(new window)
 Abstract
Inspired by the synchronization phenomena observed in the Nature, we propose an autonomous load balancing method for a wireless network. We model the load balancing problem of cells providing wireless access services as a synchronization problem in the Nature and design an algorithm for each cell to distribute loads in a self-determining way based on the load differences among its neighbor cells. Through simulations, we verify the feasibility of the proposed method in that cell loads can be balanced efficiently eve if cells make decision autonomously using their local information.
 Keywords
Synchronization model;nature-inspired approach;distributed control;cell load balancing;
 Language
Korean
 Cited by
 References
1.
H. Lee, "Optimal cell selection scheme for load balancing in heterogeneous radio access networks," J. KICS, vol. 37, no. 12, pp. 1102-1112, Dec. 2012.

2.
M. Hong and S. Park, "Load balancing scheme for heterogeneous cellular networks using e-ICIC," J. KICS, vol. 39, no. 5, pp. 280-292, May 2014.

3.
W. Kim, J. Lee, and Y. Suh, "Adaptive periodic MLB algorithm for LTE femtocell networks," J. KICS, vol. 38, no. 9, pp. 764-774, Sept. 2013.

4.
3GPP, TS 32.500, "Telecommunication Management; Self-Organizing Networks (SON); Concepts and Requirements (Release 11)," V11.1.0, Dec. 2011.

5.
Y. Xiao, Bio-Inspired Computing and Networking, CRC Press, 2011.

6.
Y. Kuramoto, Chemical Oscillations, Waves and Turbulence, Dover Publications, 2003.

7.
3GPP, TS 36.300, "Evolved universal terrestrial radio access (E-UTRA) and evolved universal terrestrial radio access (E-UTRAN); Overall description; Stage 2," V8.3.0, Dec. 2007.

8.
3GPP, TR 36.816, Evolved study on management of evolved universal terrestrial radio access network (E-UTRAN) and evolved packet core (EPC), V11.2.0, Dec. 2011.

9.
R. Nasri and Z. Altman, "Handover adaptation for dynamic load balancing in 3GPP long term evolution systems," in Proc. IEEE MoMM'07, pp. 145-153, Dec. 2007.

10.
A. El-Halaby and M. Awad, "A game theoretic scenario for LTE load balancing," in Proc. IEEE Africon 2011, pp. 1-6, Sept. 2011.

11.
H. Wang, L. Ding, P. Wu, Z. Pan, N. Liu, and X. You, "Dynamic load balancing in 3GPP LTE multi-cell networks with heterogeneous services," in Proc. IEEE CHINACOM 2010, pp. 1-5, Aug. 2010.

12.
S. S. Mwanje and A. Mitschele-Thiel, "Minimizing handover performance degradation due to LTE self organized mobility load balancing," in Proc. IEEE VTC Spring 2013, pp. 1-5, Jun. 2013.

13.
A. Lobinger, S. Stefanski, T. Jansen, and I. Balan, "Load balancing in downlink LTE self-optimizing network," in Proc. IEEE VTC Spring 2010, pp. 1-5, May 2010.

14.
R. Kwan, R. Arnott, R. Ratersion, R. Trivisonno, and M. Kubota, "On mobility load balancing for LTE systems," in Proc. IEEE VTC Fall 2010, pp. 1-5, Sept. 2010.

15.
R. E. Mirollo and S. H. Strogatz, "Synchronization of pulse coupled biological oscillators," SIAM J. Appl. Mathematics, vol. 50, no. 6, pp. 1645-1662, Dec. 1990. crossref(new window)

16.
Y. Hong and A. Scaglione, "A scalable synchronization protocol for large scale sensor networks and its applications," IEEE J. Sel. Area in Commun., vol. 23, no. 5, pp. 1085-1099, May 2005. crossref(new window)

17.
J. Degesys, I. Rose, A. Patel, and R. Nagpal, "DESYNC: self Organizing desynchronization and TDMA on wireless sensor networks," in Proc. 6th Int. Symp. Inf. Process. in Sensor Netw., pp. 11-20, Apr. 2007.

18.
A. Arenas, A. Diaz-Guilera, and C. J. Perez-Vicente, "Synchronization reveals topological scales in complex networks," Physical Rev. Lett., vol. 96, no. 11, pp. 114102-114106, Mar. 2006. crossref(new window)

19.
S. Boccaletti, M. Ivanchenko, V. Latora, A. Pluchino, and A. Rapisarda, "Detecting complex network modularity by dynamical clustering," Physical Rev. E, vol. 75, no. 4, pp. 045102-045106, Apr. 2007.