Fuzzy MCDM methods application in radio resource management for modern communication systems
-
2019-07-14 https://doi.org/10.14419/ijet.v7i4.24970 -
Multi-Criteria Decision-Making Systems, Fuzzy AHP, Fuzzy SAW, Vertical Handover, Radio Resources Management. -
Abstract
Fuzzy MCDM methods are a hybrid multi criteria decision making systems where the advantages for both fuzzy logic theory and the traditional MCDM are utilized. Fuzzy MCDM systems take into account the insufficient information and the evolution of available knowledge and they are very useful to deal with the uncertain and imprecise data. The radio resource management mechanisms in modern communication systems are typical multi criteria problems and the usage of MCDM systems is mandatory to reduce the influence of the imprecise, contradictory, and dissimilar measurements of these complex communication systems.
In this paper, two different fuzzy MCDM systems are developed to address one of the most important radio resources management mechanisms which is vertical handover (VHO). These systems use fuzzy AHP and fuzzy SAW methods. Illustrative numerical examples for the developed systems are presented. The examples show that the choice of the MCDM tool can directly affect the ranking order of the available access networks, and hence, the selection of the MCDM methods is highly critical in any VHO solution.
Â
Â
-
References
[1] M. Mouâd, L. Cherkaoui, "A comparison between fuzzy TOPSIS and fuzzy GRA for the vertical handover decision making,†IEEE Intelligent Systems and Computer Vision (ISCV) Conf., Morocco, April 2017.
[2] U. Paul, O. E. Falowo, "Efficient RAT-Selection for group calls using intuitionistic fuzzy TOPSIS in heterogeneous wireless networks," 2017 IEEE AFRICON, Cape Town, South Africa, Nov. 2017 https://doi.org/10.1109/AFRCON.2017.8095510.
[3] S. Liang, Y. Zhang, B. Fan, and H. Tian, "Multi-Attribute vertical handover decision-making algorithm in a hybrid VLC-Femto system," IEEE Communications Letters, vol. 21, no. 7, Jul. 2017 https://doi.org/10.1109/LCOMM.2017.2654252.
[4] M. Drissi and M. Oumsis, "Performance evaluation of multi-criteria vertical handover for heterogeneous wireless networks,†IEEE 2015 Intelligent Systems and Computer Vision (ISCV), Fez, Morocco, Mar. 2015 https://doi.org/10.1109/ISACV.2015.7106165.
[5] L. Zhang, L. Ge, X. Su and J. Zeng, "Fuzzy logic based vertical handover algorithm for trunking system," IEEE 2017 26th Wireless and Optical Communication Conference (WOCC), Newark, NJ, USA, Apr. 2017 https://doi.org/10.1109/WOCC.2017.7928995.
[6] S. Baghla and S. Bansal, "Movement aware vector normalized preferred performance based VIKOR vertical handover algorithm," International Journal of Innovative Research in Technology, ", vol. 4, no. 1, Jun. 2017.
[7] M. Lahby, and A. Sekkaki, "Optimal Vertical Handover based on TOPSIS algorithm and utility function in heterogeneous wireless networks,", IEEE 2017 International Symposium on Networks, Computers and Communications (ISNCC), Marrakech, Morocco, May 2017 https://doi.org/10.1109/ISNCC.2017.8072023.
[8] H. Sharma, R. Kumar Goyal, "The utility based AHP& TOPSIS methods for smooth handover in wireless networks," International Research Journal of Engineering and Technology (IRJET), vol. 04, no. 07. Jul. 2017.
[9] M. Mansouri, C. Leghris, A Bekkhoucha, "Towards a better combination of the MADM algorithms for the Vertical Handover optimization in a mobile network multi-access environment," IEEE 10th International Conference on Intelligent Systems: Theories and Applications (SITA), Rabat, Morocco, Oct. 2015 https://doi.org/10.1109/SITA.2015.7358421.
[10] L. Xiaobin, "An adaptive vertical handover method based on prediction for heterogeneous wireless networks," IEEE 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2017), Guilin, China, July 2017.
[11] J. Rizkallah and N. Akkari, "SDN-Based vertical handover decision scheme for 5G networks," 2018 IEEE Middle East and North Africa Communications Conference (MENACOMM), Jounieh, Lebanon, April 2018 https://doi.org/10.1109/MENACOMM.2018.8371040.
[12] X. Li and F. Ouyang, "A Vertical Handover Introduced by Adaptive Mechanism Based on Fuzzy Analytic Hierarchy Process for Heterogeneous Networks," 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI 2017), Shanghai, China, Oct. 2017 https://doi.org/10.1109/CISP-BMEI.2017.8302160.
[13] A. Ben Zineb, M. Ayadi, S. Tabbane, "QoE-based vertical handover decision management for cognitive networks using ANN," IEEE Sixth International Conference on Communications and Networking (ComNet), Hammamet, Tunisia, April 2017 https://doi.org/10.1109/COMNET.2017.8285600.
[14] T.L. Saaty, The Analytic Hierarchy Process, McGraw-Hill, New York, USA, 1980. https://doi.org/10.21236/ADA214804.
[15] Aridegbe. A. A. Ipaye ; Ali. M. A. Ibrahim; Israa. I. O. Ahmed; Mathematical Model Implementation of Vertical Handover Network Decision Algorithms in Heterogeneous Network Based on QoS Parameters, International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE), pp. 12-14, Khartoum, Sudan, Aug. 2018.
[16] Kaiyi Xiao; Changgeng Li, Vertical Handoff Decision Algorithm for Heterogeneous Wireless Networks Based on Entropy and Improved TOPSIS, IEEE 18th International Conference on Communication Technology (ICCT), Chongqing, China, Oct. 2018 https://doi.org/10.1109/ICCT.2018.8600008.
Topside E. Mathonsi ; Okuthe P. Kogeda ; Thomas O. Olwal, Intersystem Handover Decision Model for Heterogeneous Wireless Networks, 2018 Open Innovations Conference (OI), Johannesburg, South Africa, Oct. 2018 https://doi.org/10.1109/OI.2018.8535951
-
Downloads
-
How to Cite
M. Alkhawlani, M. (2019). Fuzzy MCDM methods application in radio resource management for modern communication systems. International Journal of Engineering & Technology, 7(4), 6822-6827. https://doi.org/10.14419/ijet.v7i4.24970Received date: 2018-12-28
Accepted date: 2019-04-08
Published date: 2019-07-14