CFP last date
20 December 2024
Call for Paper
January Edition
IJCA solicits high quality original research papers for the upcoming January edition of the journal. The last date of research paper submission is 20 December 2024

Submit your paper
Know more
The week's pick
Responsive image
Improved Shuffled Frog Leaping Algorithm with Self-Adaptive Shuffling for Fuzzy Logic PD+G Controller Optimization in Robotic Manipulators

Duc Hoang Nguyen
Random Articles
Reseach Article

A Soft Computing Approach to Dynamic Load Balancing in 3GPP LTE

by Aderemi A. Atayero, Matthew K. Luka
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 43 - Number 19
Year of Publication: 2012
Authors: Aderemi A. Atayero, Matthew K. Luka
10.5120/6213-8895

Aderemi A. Atayero, Matthew K. Luka . A Soft Computing Approach to Dynamic Load Balancing in 3GPP LTE. International Journal of Computer Applications. 43, 19 ( April 2012), 35-41. DOI=10.5120/6213-8895

@article{ 10.5120/6213-8895,
author = { Aderemi A. Atayero, Matthew K. Luka },
title = { A Soft Computing Approach to Dynamic Load Balancing in 3GPP LTE },
journal = { International Journal of Computer Applications },
issue_date = { April 2012 },
volume = { 43 },
number = { 19 },
month = { April },
year = { 2012 },
issn = { 0975-8887 },
pages = { 35-41 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume43/number19/6213-8895/ },
doi = { 10.5120/6213-8895 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:33:51.023845+05:30
%A Aderemi A. Atayero
%A Matthew K. Luka
%T A Soft Computing Approach to Dynamic Load Balancing in 3GPP LTE
%J International Journal of Computer Applications
%@ 0975-8887
%V 43
%N 19
%P 35-41
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

A major objective of the 3GPP LTE standard is the provision of high-speed data services. These services must be guaranteed under varying radio propagation conditions, to stochastically distributed mobile users. A necessity for determining and regulating the traffic load of eNodeBs naturally ensues. Load balancing is a self-optimization operation of self-organizing networks (SON). It aims at ensuring an equitable distribution of users in the network. This translates into better user satisfaction and a more efficient use of network resources. Several methods for load balancing have been proposed. Most of the algorithms are based on hard (traditional) computing which does not utilize the tolerance for precision of load balancing. This paper proposes the use of soft computing, precisely adaptive Neuro-fuzzy inference system (ANFIS) model for dynamic QoS aware load balancing in 3GPP LTE. The use of ANFIS offers learning capability of neural network and knowledge representation of fuzzy logic for a load balancing solution that is cost effective and closer to human intuition

References
  1. StefaniaSesia, IssamToufik and Matthew Baker, "LTE-The UMTS Long Term Evolution: From Theory to Practice", 1st edition, John Wiley & Sons, Ltd. , West Sussex, UK, 2009.
  2. ETSI TS 136 300, "LTE; Evolved Universal Terrestrial Radio Access (E-UTRA) and Evolved Universal Terrestrial Radio Access Network (E-UTRAN); Overall description; Stage 2" Technical Specification Version 10. 4. 0 (pg. 176), 2011 Retrieved March. , 10, 2012, available at http://www. 3gpp. org.
  3. Andreas Lobinger et al, "Load Balancing in Downlink LTE Self-Optimizing Networks", IEEE 71st VTC 2010, Taipei, Taiwan, June 2010.
  4. Hao Wang et al, "Dynamic Load Balancing in 3GPP LTE Multi-Cell Networks with Heterogenous services", ICST Conference, Beijing, 2010.
  5. Hao Wang, "Dynamic Load Balancing and Throughput Optimization in 3GPP LTE Networks", IWCMC 2010, Caen, France, July, 2010.
  6. L. A. Zadeh, "Fuzzy logic, neural networks and soft computing," in Proc. IEEE Int. Workshop Neuro Fuzzy Control, Muroran, Japan, 1993, p. 1.
  7. G. Chakraborty and B. Chakraborty, "A genetic algorithm approach to solve channel assignment problem in cellular radio networks," inProc. IEEE Midnight-Sun Workshop Soft Computing Methods in Industrial Applications, Kuusamo, Finland, 1999, pp. 34–39.
  8. B. Dengiz, F. Altiparmak, and A. E. Smith, "Local search genetic algorithm for optimal design of reliable networks,"IEEE Trans. Evol. Comput. , vol. 1, pp. 179–188, June 1997.
  9. X. M. Gao, X. Z. Gao, J. M. A. Tanskanen, and S. J. Ovaska, "Power prediction in mobile communication systems using an optimal neural-network structure," IEEE Trans. neural Networks, vol. 8, pp. 1446–1455, Nov. 1997.
  10. A. A. Atayero, M. K. Luka, "Applications of Soft Computing in Wireless and Mobile Communications", International Journal of Computer Applications:ISSN0975 – 8887,Submitted.
  11. AmitKonar, "Artificial Intelligence and Soft Computing: Behavioural and Cognitive Modelling of the Human Brain" CRC press, NY, USA, 2000.
  12. R. C. Chakraborty (2010), "Soft Computing Introduction", retrieved on March 18, 2012, available at http:// www. myreaders. info/html/soft_computing. html.
  13. Mathwork Inc. , "Fuzzy Logic Toolbox User Guide", Ver. , 2. 2. 14 (2011). Retrieved Jan. , 28, 2012 from www. mathworks. com.
  14. Jyh-Shing Roger Jang, "ANFIS: Adaptive Network-Based Fuzzy Inference System", IEEE trans. , on Systems, Man and Cybernetics, Vol. 23, No. 3, May-June, 1993, pg. 665-685.
  15. LaureneFausett, "Fundamentals of Neural Networks: Architectures, Algorithms and Applications", 1st edit. , Prentice hall, 1993.
  16. MihaiHoriaZaharia, Florin Leon and Dan Gâlea, "Parallel Genetic Algorithms for Cluster Load Balancing", Advances in Intelligent Systems and Technologies Proceedings ECIT2004 - Third European Conference on Intelligent Systems and TechnologiesIasi, Romania, July 21-23, 2004.
  17. William A. Greene, "Dynamic Load-Balancing via a Genetic Algorithm", Proceedings of the 13th International Conference on: Tools with Artificial Intelligence, pg. 121-128, 2001.
  18. Ali R. Mehrabian and Morteza M. Zaheri, "Design of a Genetic-Algorithm-Based Steam Temperature Controller in Thermal Power Plants", Advance online publication, engineering Letters, 2007.
  19. Mohammed Jaloun1, Zouhair Guennoun2 and AdnaneElasri, "Use Of Genetic Algorithm In The Optimisation Of The Lte Deployment", International Journal of Wireless & Mobile Networks (IJWMN) Vol. 3, No. 3, June 2011.
  20. Jyh-Shing Roger Jang, "ANFIS: Adaptive Network-Based Fuzzy Inference System", IEEE trans. , on Systems, Man and Cybernetics, Vol. 23, No. 3, May-June, 1993, pg. 665-685.
  21. J. -S. Roger Jang and Ned Gulley, "MATLAB Fuzzy Logic toolbox: Computation, Visualization and programming", User Guide vers. 1, 1997.
  22. A. A. Atayero, M. K. Luka, "Adaptive Neuro-Fuzzy Inference System for dynamic load balancing in LTE", International Journal of Advanced Research and Artificial Intelligence (IJARAI):ISSN 2165-4069 Vol. 1 No. 1, pp. 11-16, April 2012.
  23. WINNER, "Assessment of advanced beamforming and MIMO technologies," WINNER, Tech. Rep. IST-2003-507581, 2005.
  24. ETSI TR 136 942, "LTE; Evolved Universal Terrestrial Radio Access (E-UTRA); Radio Frequency (RF) system scenarios", Technical Report Version 8. 2. 0 (2009). Retrieved Feb. , 20, 2012, from http://www. 3gpp. org.
  25. ETSI , Physical layer aspects for E-UTRA Technical Specification Version 8. 2. 0 . 2006, Retrieved Feb. , 20, 2012, from http://www. 3gpp. org.
  26. ETSI TS 136 211, "LTE; Evolved Universal Terrestrial Radio Access (E-UTRA); Physical channels and modulation", Technical Specification Version 10. 2. 0 . , 2011, Retrieved Feb. , 20, 2012, from http://www. 3gpp. org.
  27. R. Jain, D. M Chiu and W. Hawe,"A Quantitative Measure of Fairness and Discrimination for Resource Allocation in Shared Systems",Technical Report, Digital Equipment Corporation, DEC-TR-301, 1984.
  28. Lin Zhang, Yu Liu, Mengru Zhang, ShucongJia, and XiaoyuDuan, " A Two-layer Mobility Load Balancing in LTE Self-Organization Networks" IEEE Internal Conference on Communication Technology, Beijing, China, 2011, pg. 925 – 929.
Index Terms

Computer Science
Information Sciences

Keywords

Anfis Soft Computing 3gpp Lte Load Balancing

Powered by PhDFocusTM