Title: Comparative analysis of fuzzy logic and AHP method for QoS management in LTE network: IMS case study

Authors: Ouafae Kasmi; Nawal Ait Aali; Amine Baina; Mostafa Bellafkih; Loubna Echabbi

Addresses: STRS Laboratory, National Institute of Posts and Telecommunications, Rabat, Morocco ' STRS Laboratory, National Institute of Posts and Telecommunications, Rabat, Morocco ' STRS Laboratory, National Institute of Posts and Telecommunications, Rabat, Morocco ' STRS Laboratory, National Institute of Posts and Telecommunications, Rabat, Morocco ' STRS Laboratory, National Institute of Posts and Telecommunications, Rabat, Morocco

Abstract: In recent years, increasing demand for IP Multimedia Subsystem (IMS) services raised several problems and challenges concerning the Quality of Service (QoS) management. Thus, each operator has to make its network more efficient for ensuring an acceptable level of QoS. The 3rd Generation Partnership Project (3GPP) offers several scenarios for providing services, but without any control or correction for QoS degradation. However, reaching the QoS satisfaction becomes more difficult and complicated due to changes in preferences and mobility of customers. In this regard, a new approach of multi-level criticality for managing the customer's request for guaranteeing a QoS at any time is proposed. To achieve this goal, several criteria were used for decision-making to offer the appropriate QoS level to the customers according to their levels of criticality. In this paper, a comparative analysis of the fuzzy logic and Analytic Hierarchy Process (AHP) method for multi-criteria has been presented to evaluate QoS and criticality levels for QoS management in the IMS network. The simulation results describe the comparison between these two methods to illustrate their feasibility for QoS management to find who gives better results in the aspect of the chance value of QoS and criticality levels.

Keywords: multi-level criticality; QoS; quality of service; multi-criteria; fuzzy logic; AHP.

DOI: 10.1504/IJWMC.2020.111199

International Journal of Wireless and Mobile Computing, 2020 Vol.19 No.3, pp.213 - 223

Accepted: 10 Nov 2019
Published online: 30 Oct 2020 *

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