Analysis of The Impact of Fuzzy Logic Algorithm On Handover Decision in A Cellular Network

Emily Teresa Nyambati; Vitalice K. Oduol

doi:10.31686/ijier.vol5.iss5.664

Authors

Emily Teresa Nyambati

The University of Nairobi, Kenya
Vitalice K. Oduol

The University of Nairobi, Kenya

DOI:

https://doi.org/10.31686/ijier.vol5.iss5.664

Keywords:

Optimised Handover Decision, Received Signal level (RxLev), Received Signal Quality (RxQual), Fuzzy Inference System

Abstract

Fuzzy logic is one of the intelligent systems that can be used to develop algorithms for handover. For success in handing over, the decision-making process is crucial and thus should be highly considered. The performance of fixed parameters is not okay in the changing cellular system environments. The work done on this paper aims to analyse the impact of utilising the fuzzy logic system for handover decision making considering the Global System for Mobile communication (GSM) network. The results from the different simulations show that the need to handover varies depending on the input(s) to the Fuzzy Inference System (FIS). By increasing the number of data, thus the criteria parameters used in the algorithm, an Optimised Handover Decision (OHOD) is realised.

Author Biographies

Emily Teresa Nyambati, The University of Nairobi, Kenya

Department of Electrical & Information Engineering
Vitalice K. Oduol, The University of Nairobi, Kenya

Department of Electrical & Information Engineering

References

[1] African, E., & Isik, A. H. (2015, April). Control of Cell Planning with Fuzzy Logic in GSM System. Paperpresented at 8th WSEAS International Conference on Telecommunications and Informatics.

[2] Amali Mathew, C., Mathew, B., & Ramachandran, B. (2013). Intelligent Network Selection using andManagement Education, 4(2), 451-461.

[3] Dr.Manoj Sharma. (2015). Fuzzy Logic Tool for Imprecise Information in Wireless Communication-Another Perspective. International Journal of Research in Management, Science & Technology, 3(1).

[4] Dureja, A., Kumar, J., & Gargi, R. (2014). Fuzzy-Based Improvement in handover Decisions in GSMNetworks. International Journal of Advanced Research in Computer Science & Tech, 2(3).

[5] Edwards, G., Kandel, A., & Sankar, R. (2000). Fuzzyhandoveralgorithms for wireless communication. Fuzzy Sets and Systems, 110(3), 379-388. Doi:10.1016/s0165-0114(98)00094- 3

[6] ETSI 3rd Generation Partnership Project (3GPP). (2010). Digital cellular telecommunications system(Phase 2+); Radio subsystem link control. Retrieved fromhttp://www.etsi.org/deliver/etsi_ts/145000_145099/145008/09.04.00_60/ts_145008v090400p.pdf

[7] Girma, S. T. (2014). Fuzzy Logic Based Traffic Balancing in a GSM Network. Journal of Research inEngineering, 1(2), 63-74.

[8] Homnan, B., & Benjapolakul, W. (n.d.). Trunk-resource- efficiency-controlling soft handover based onFuzzy logic and gradient descent method. IEEE VTS 53rd Vehicular Technology Conference, Spring2001. Proceedings (Cat. No.01CH37202). doi:10.1109/vetecs.2001.944544.

[9] Honman, B., & Benjapolakul, W. (n.d.). A handover decision procedure for mobile telephone systems using fuzzy logic. IEEE. APCCAS 1998. 1998 IEEE Asia-Pacific Conference on Circuits and Systems Microelectronics and Integrating Systems. Proceedings (Cat. No.98EX242).doi:10.1109/apccas.1998.743835.

[10] Kassar, M., Kervella, B., & Pujolle, G. (2008). An overview of vertical handover decision strategies inHeterogeneous wireless networks. Computer Communications, 31(10), 2607-2620.doi:10.1016/j.comcom.2008.01.044

[11] The Math Works, Inc. (2016). Fuzzy Logic Toolbox User's Guide. Retrieved fromhttp://www.mathworks.com/help/pdf_doc/fuzzy/fuzzy.pdf

[12] McNair, Janise, & Fang Zhu. (2008). Vertical handovers in Fourth-Generation Multi-NetworkEnvironments. IEEE, 11(3), 8-15.

[13] Mehbodniya, A., Kaleem, F., Yen, K., & Adachi, F. (2012). A dynamic weighting of attributes inHeterogeneous wireless networks using fuzzy linguistic variables. Paper presented at 1st IEEEInternational Conference on Communications in China (ICCC).doi:10.1109/iccchina.2012.6356974

[14] Mehran, K. (2008). Takagi-Sugeno Fuzzy Modeling for Process Control [PDF].Newcastle University

[15] Narayanan. (2014).An intelligent vertical handover decision algorithm for wireless heterogeneousnetworks. American Journal of Applied Sciences, 11(5), 732-739. doi:10.3844/ajassp.2014.732.739

[16] Patnaik, P. (2010, May). Fuzzy Assisted Handover Algorithm for Micro and Macro-Cellular System.

[17] Prithviraj, A., Krishnamoorthy, K., & Vinothini, B. (2016). Fuzzy Logic-Based Decision-MakingAlgorithm to Optimize the Handover Performance in HetNets. Circuits and Systems, 07(11), 3756-3777. doi:10.4236/cs.2016.711315

[18] Soni, H., Sood, V., & Sheetal, A. (2015). Modeling of Fuzzy Based handoverDecision Controller International Journal of Advanced Research in Computer and Communication Engineering, 4(5).

[19] Thakur, I., & Jharia, B. (2011). An Analysis of GSM Handover based On Real Data. InternationalJournal of Computer Sc. and Information Security, 9(7).

[20] Tripathi, N. D. (1997). Generic Adaptive handover Algorithms Using Fuzzy Logic and NeuralNetworks, (Unpublished doctoral dissertation). VirginaPolytechnique Institute and State University.

[21] Zadeh, L. A. (1992). Knowledge representation in fuzzy logic. In An Introduction to Fuzzy LogicApplications in Intelligent Systems (pp. 2-25). Boston: Kluwer Academic Publisher.