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Erschienen in: Journal of Network and Systems Management 3/2018

21.09.2017

Network Selection Decisions for Multiple Calls Based on Consensus Level

verfasst von: Olabisi E. Falowo, Olugbenga A. Taiwo

Erschienen in: Journal of Network and Systems Management | Ausgabe 3/2018

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Abstract

Next generation multimode terminals have the capability to support different classes of calls simultaneously as well as the ability to connect to two or more radio access technologies (RATs), at the same time, in a heterogeneous wireless network. For a mobile terminal having multiple classes of simultaneous handoff calls (such as file download and video sessions), RAT selection decisions can be made independently for individual calls in the group or jointly for the entire group of calls. Both independent and group RAT selection decisions for multiple calls have advantages and disadvantages. Existing RAT selection algorithms have focused on RAT selection decisions for single calls. Therefore, this paper investigates independent call and group call RAT selection decisions for multiple calls in heterogeneous wireless networks, and proposes a scheme that makes RAT selection decisions for multiple calls based on a consensus level among the multiple calls to be admitted. When this consensus level is among multiple calls to be admitted into a particular RAT and is equal to or above a certain threshold value, a group decision is used. Otherwise, independent decisions are made. The performance of the proposed RAT selection scheme is evaluated in a three service three RAT heterogeneous network, supporting multihomed terminals. Simulation results are given to show the effectiveness of the proposed scheme.

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Literatur
1.
Zurück zum Zitat Giupponi, L., Pérez-Romero, J.: A novel approach for joint radio resource management based on fuzzy neural methodology. IEEE Trans. Veh. Technol. 57(3), 1789–1805 (2008)CrossRef Giupponi, L., Pérez-Romero, J.: A novel approach for joint radio resource management based on fuzzy neural methodology. IEEE Trans. Veh. Technol. 57(3), 1789–1805 (2008)CrossRef
2.
Zurück zum Zitat Gelabert, X., Pérez-Romero, J., Sallent, O., Agustı, R.: A Markovian approach to radio access technology selection in heterogeneous multiaccess/multiservice wireless networks. IEEE Trans. Mobile Comput. 7(10), 1257 (2008)CrossRef Gelabert, X., Pérez-Romero, J., Sallent, O., Agustı, R.: A Markovian approach to radio access technology selection in heterogeneous multiaccess/multiservice wireless networks. IEEE Trans. Mobile Comput. 7(10), 1257 (2008)CrossRef
3.
Zurück zum Zitat Ong, E.H., Khan, J.Y.: On optimal network selection in a dynamic multi-RAT environment. IEEE Commun. Lett. 14(3), 38 (2010) Ong, E.H., Khan, J.Y.: On optimal network selection in a dynamic multi-RAT environment. IEEE Commun. Lett. 14(3), 38 (2010)
4.
Zurück zum Zitat Porjazoski, M., Popovski, B.: Performance analysis of radio access technology selection algorithms in heterogeneous wireless networks using 2-dimensional Markov model. Int. J. Res. Rev. Wirel. Commun. 1(1), 106 (2011) Porjazoski, M., Popovski, B.: Performance analysis of radio access technology selection algorithms in heterogeneous wireless networks using 2-dimensional Markov model. Int. J. Res. Rev. Wirel. Commun. 1(1), 106 (2011)
5.
Zurück zum Zitat Zarai, M.H.F., Obaidat, M.S., Kamoun, L.: Optimizing handover decision and target selection in LTE-a network-based on MIH protocol. In: Proceedings of the IEEE International Conference on Communications, Sydney, Australia, 10–14 June 2014 (2014) Zarai, M.H.F., Obaidat, M.S., Kamoun, L.: Optimizing handover decision and target selection in LTE-a network-based on MIH protocol. In: Proceedings of the IEEE International Conference on Communications, Sydney, Australia, 10–14 June 2014 (2014)
6.
Zurück zum Zitat Trestian, R., Ormond, O., Muntean, G.-M.: Enhanced power-friendly access network selection strategy for multimedia delivery over heterogeneous wireless networks’. IEEE Trans. Broadcast. 60(1), 85 (2014)CrossRef Trestian, R., Ormond, O., Muntean, G.-M.: Enhanced power-friendly access network selection strategy for multimedia delivery over heterogeneous wireless networks’. IEEE Trans. Broadcast. 60(1), 85 (2014)CrossRef
7.
Zurück zum Zitat Chen, S., Gan, X., Feng, X., Tian, X., Wu, W., Liu, J.: Markov approximation for multi-RAT selection. In: Proceedings of the IEEE International Conference on Communications, London, UK, June 8–12 2015 (2015) Chen, S., Gan, X., Feng, X., Tian, X., Wu, W., Liu, J.: Markov approximation for multi-RAT selection. In: Proceedings of the IEEE International Conference on Communications, London, UK, June 8–12 2015 (2015)
8.
Zurück zum Zitat Naghavi, P., Hamed Rastegar, S., Shah-Mansouri, V., Kebriaei, H.: Learning RAT selection game in 5G heterogeneous networks. IEEE Wirel. Commun. Lett. 5(6), 52 (2016)CrossRef Naghavi, P., Hamed Rastegar, S., Shah-Mansouri, V., Kebriaei, H.: Learning RAT selection game in 5G heterogeneous networks. IEEE Wirel. Commun. Lett. 5(6), 52 (2016)CrossRef
9.
Zurück zum Zitat Falowo, O.E., Chan, H.A.: Multiple-call handover decisions using fuzzy MCGDM in heterogeneous wireless networks. In: Proceedings of the 30th IEEE Military Communications Conference (MILCOM 11), Baltimore, Maryland, USA, November 7–10 2011 (2011) Falowo, O.E., Chan, H.A.: Multiple-call handover decisions using fuzzy MCGDM in heterogeneous wireless networks. In: Proceedings of the 30th IEEE Military Communications Conference (MILCOM 11), Baltimore, Maryland, USA, November 7–10 2011 (2011)
10.
Zurück zum Zitat Falowo, O.E., Taiwo, O.: Consensus-based algorithm for making network selection decisions in heterogeneous wireless networks. In: Proceedings of the IEEE 26th International Symposium on Personal, Indoor and Mobile Radio Communications, Hong Kong, China, 30 August–2 September 2015 (2015) Falowo, O.E., Taiwo, O.: Consensus-based algorithm for making network selection decisions in heterogeneous wireless networks. In: Proceedings of the IEEE 26th International Symposium on Personal, Indoor and Mobile Radio Communications, Hong Kong, China, 30 August–2 September 2015 (2015)
11.
Zurück zum Zitat Palomares, I., Martınez, L.: A consensus model to detect and manage noncooperative behaviors in large-scale group decision making. IEEE Trans. Fuzzy Syst. 22(3), 516 (2014)CrossRef Palomares, I., Martınez, L.: A consensus model to detect and manage noncooperative behaviors in large-scale group decision making. IEEE Trans. Fuzzy Syst. 22(3), 516 (2014)CrossRef
12.
Zurück zum Zitat Tapia García, J.M.: A consensus model for group decision-making problems with interval fuzzy preference relations. Int. J. Inf. Technol. Decis. Making 11(4), 709–725 (2012)CrossRef Tapia García, J.M.: A consensus model for group decision-making problems with interval fuzzy preference relations. Int. J. Inf. Technol. Decis. Making 11(4), 709–725 (2012)CrossRef
13.
Zurück zum Zitat Wibowo, S., Deng, H.: Consensus-based decision support for multicriteria group decision making. Comput. Ind. Eng. 66, 625–633 (2013)CrossRef Wibowo, S., Deng, H.: Consensus-based decision support for multicriteria group decision making. Comput. Ind. Eng. 66, 625–633 (2013)CrossRef
14.
Zurück zum Zitat Kahraman, C., Engin, O., Kabak, O., Kaya, I.: Information systems outsourcing decisions using a group decision-making approach, engineering. Appl. Artif. Intell. 22, 832–841 (2009)CrossRef Kahraman, C., Engin, O., Kabak, O., Kaya, I.: Information systems outsourcing decisions using a group decision-making approach, engineering. Appl. Artif. Intell. 22, 832–841 (2009)CrossRef
15.
Zurück zum Zitat Pérez, I.J., Cabrerizo, F.J., Herrera-Viedma, E.: A mobile decision support system for dynamic group decision-making problems. IEEE Trans. Syst. Man Cybern. A Syst. Hum. 40(6), 1244 (2010)CrossRef Pérez, I.J., Cabrerizo, F.J., Herrera-Viedma, E.: A mobile decision support system for dynamic group decision-making problems. IEEE Trans. Syst. Man Cybern. A Syst. Hum. 40(6), 1244 (2010)CrossRef
16.
Zurück zum Zitat Xu, Z.: An automatic approach to reaching consensus in multiple attribute group decision making. Comput. Ind. Eng. 56, 1369–1374 (2009)CrossRef Xu, Z.: An automatic approach to reaching consensus in multiple attribute group decision making. Comput. Ind. Eng. 56, 1369–1374 (2009)CrossRef
17.
Zurück zum Zitat Cabrerizo, F.J., Alonso, S., Herrera-Viedma, E.: A new consensus model for group decision making problems with non-homogeneous experts Ignacio Javier Pérez. IEEE Trans. Syst. Man Cybernet. Syst. 44(4), 494 (2014)CrossRef Cabrerizo, F.J., Alonso, S., Herrera-Viedma, E.: A new consensus model for group decision making problems with non-homogeneous experts Ignacio Javier Pérez. IEEE Trans. Syst. Man Cybernet. Syst. 44(4), 494 (2014)CrossRef
18.
Zurück zum Zitat Garcı, J.M.T., del Moral, M.J., Martínez, M.A., Herrera-Viedma, E.: A consensus model for group decision making problems with linguistic interval. Expert Syst. Appl. 39, 10022–10030 (2012)CrossRef Garcı, J.M.T., del Moral, M.J., Martínez, M.A., Herrera-Viedma, E.: A consensus model for group decision making problems with linguistic interval. Expert Syst. Appl. 39, 10022–10030 (2012)CrossRef
19.
Zurück zum Zitat Herrera-Viedma, E., Herrera, F., Chiclana, F.: A consensus model for multiperson decision making with different preference structures. IEEE Trans. Syst. Man Cybernet. A: Syst. Hum. 32(3), 394 (2002)CrossRefMATH Herrera-Viedma, E., Herrera, F., Chiclana, F.: A consensus model for multiperson decision making with different preference structures. IEEE Trans. Syst. Man Cybernet. A: Syst. Hum. 32(3), 394 (2002)CrossRefMATH
20.
Zurück zum Zitat Wu, Z., Fang, Y.: A consensus and maximizing deviation based approach for multi-criteria group decision making under linguistic setting. In: IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Beijing, China, 6–11 July 2014 (2014) Wu, Z., Fang, Y.: A consensus and maximizing deviation based approach for multi-criteria group decision making under linguistic setting. In: IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Beijing, China, 6–11 July 2014 (2014)
21.
Zurück zum Zitat Chen, S.-J., Hwang, C.-L., Hwang, F.P.: Fuzzy Multiple Attribute Decision Making. Springer, Berlin (1992)CrossRefMATH Chen, S.-J., Hwang, C.-L., Hwang, F.P.: Fuzzy Multiple Attribute Decision Making. Springer, Berlin (1992)CrossRefMATH
Metadaten
Titel
Network Selection Decisions for Multiple Calls Based on Consensus Level
verfasst von
Olabisi E. Falowo
Olugbenga A. Taiwo
Publikationsdatum
21.09.2017
Verlag
Springer US
Erschienen in
Journal of Network and Systems Management / Ausgabe 3/2018
Print ISSN: 1064-7570
Elektronische ISSN: 1573-7705
DOI
https://doi.org/10.1007/s10922-017-9433-0

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