International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 10 Issue: 05 | May 2023
p-ISSN: 2395-0072
www.irjet.net
Improved Fuzzy Logic Controller for a Global Mobile Telecommunication Network E. C. Nwokorie 1, C. O. Kalu1, C. P. Oleji2 1 Dept of Computer Science, Federal University of Technology, Owerri. Nigeria. 2Dept. of Computer Science, University of Agriculture and Environmental Science, Umuagwu, Imo, Nigeria.
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Abstract - The inadequacy in call admission management is observed as one of the known limiting factors affecting the performance of the network, resulting in to increase in call drop rate, congestion, and high traffic intensity. The research work applied the mechanism of the Handoff Queue-based Call Admission Control scheme and Fuzzy Logic artificial intelligence to develop an intelligent Call Admission Control for global mobile telecommunication networks. The developed intelligent CAC model is a two-phase fuzzy logic model. Phase one is the Fuzzy policer while Phase two is the Fuzzy Congestion Controller (FCC). The Fuzzy policer intelligently optimizes the delivery of calls and call drop with its fuzzification, inference engine, defuzzification analysis of queue capacity, call mean bit rate and call mean burst rate. These parameters enable it to estimate when new calls comply or violate the threshold at the Base Station. In the second phase of the developed system, the Fuzzy congestion controller optimizes the system resources by adjusting the handoff queue capacity for variations in the relative mobility of calls in the buffer and available free channels in the base station. The comparison of the system throughput of the proposed system, and existing congestion control systems shows that the proposed system outperformed the existing Call Admission Control models. It minimizes call drop rate probability and provides a significant reduction of cell loss due to congestion and buffer overflow under various network traffic variations.
block/drop calls (Poor call initialization and Handover), call/network congestion, and poor internet services [1]”. “Mobile Networks are faced with limited wireless resources with high mobility of users during communication, resulting in increased handoffs between calls [3]”. These factors result in unsatisfactory network utility due to poor admission control and inadequate resource reservation. “To reduce the high call drop rate, delay response and traffic congestion require an efficient call admission approach [3]”. In addition, the management of network resources is a major problem in the cellular communication industry. A series of research reviews had been done on network congestion control, network resource management, an approach to minimize call drop rate and optimized network resources for a better quality of service. “The introduction of call admission control scheme provides a dependable approach to achieve optimal resource management in lieu of limited wireless resource availability. Call admission control algorithms are important for wireless networks not only for providing the expected Quality of Service (QoS) requirements to mobile users, but also to maintain network consistency and prevent congestion [3][4]”. However, the issue of uncertainties in network performance and variations that occurs at different intervals has been discussed in recent studies such as [3][1]. The attempt made was promising, further approaches to efficiently address these issues will be unveiled in this paper.
Key Words: Call admission control, Handoff queue, Fuzzy congestion controller, Network traffic, Call drop rate, Cell loss
Hence, this paper provides an efficient call admission control mechanisms with Fuzzy logic an artificial intelligence method and handoff queue model to address the challenges of network congestion and resource management. The expected outcome provides an improved algorithm to maximize user capacity, reduce traffic congestion and maintain good quality of service.
1.INTRODUCTION The increase in the number of network subscribers in Nigeria had contributed to [1] continual network poor quality of service because of the lack of adequate facilities used by the network providers. Also, “[2] observed that the proliferation of mobile devices such as mobile phones, smartphones, and tablets and advancement in wireless technologies have led to an increase in demand for Internet services such as voice over Internet protocol (VoIP), video streaming, internet surfing, and online gaming, etc. by users, anywhere and anytime”. “Due to the high influx of subscribers, the network performance of Wideband Code Division Multiple Access (WCDMA) systems began to deteriorate ranging from poor network coverage, constant
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2. LITERATURE REVIEW [3] presented “efficient call admission control algorithm for mobility management in LTE networks”. “The work developed an intelligent technique to manage and regulate the incoming calls and handoff calls in the Long-Term Evolution (LTE) networks using Fuzzy Logic based call admission control. The results of the system were used to compare with fuzzy and non-fuzzy techniques, using parameters such as drop calls, average length queue and size
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