Radio Resource Control for 3G Cellular Networks Based On Fuzzy Logic Control
Journal Title: IOSR Journal of Electronics and Communication Engineering(IOSR-JECE) - Year 2018, Vol 13, Issue 1
Abstract
Mobile communication has increasingly become popular and in addition there has been an accelerated penetration of smart phones which has led to a significant increase in the use of mobile data services. Network congestion control remains important and of high priority, especially given the growing size, demand, and speed of cellular networks. Recent research in this area has come up with Capacity and Coverage Optimization techniques based on Self Organizing Networks (SONs). A major issue tackled by SONs is the irregular and frequently changing distribution of cellular subscribers both in time and area. In order to cope with such a trend in a cost-effective manner, operators of mature networks, such as the second generation (2G), Global System for Mobile communication (GSM), use traffic management techniques instead of adding new resources while new technologies such as the fourth generation(4G), long term evolution (LTE), use parameter tuning which is done automatically based on measurements . For third generation (3G) technologies on the other hand using the universal terrestrial radio access network (UTRAN) the issue of congestion is tackled using physical or soft parameter optimization. As existing network technologies continue to evolve, more and more tunable parameters and various customizations are being introduced. This has resulted in a rise in complexity that is making traditional manual optimization challenging. On the other hand, even though current Self-Organizing Networks (SON) focus is on Long Term Evolution (LTE) and beyond, legacy networks such as 3G are adopting different SON based solutions to address the above mentioned challenges in other radio access network (RAN) types. In this paper the problem of capacity optimization in 3G Cellular Networks is addressed using Rule-Based Fuzzy Logic to control the CPICH power and as a result improve the cell capacity. One of the reasons for choosing Fuzzy Logic Controllers (FLC) is its logical resemblance to a human operator. It operates on the foundations of a knowledge base derived from an expert operator’s knowledge. The autonomous operation is aimed at reducing the frequent attention and effort required by a radio optimization engineer to carry out capacity optimization tasks which are currently done mostly manually. The FLC will be involved in the detection of high load 3G cells that do not have enough cell resources available and could benefit from CPICH power adjustment as a radio optimization engineer would normally do manually. Simulation results show that the CPICH power control system based on fuzzy achieves a significant improvement in the Downlink cell utilization which in turn improves the cell performance compared to a constant CPICH power system.
Authors and Affiliations
Jane M. Mutua, George N. Nyakoe, Vitalice K. Oduol
Keywords
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- EP ID EP438967
- DOI 10.9790/2834-1301023950.
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