Browsing by Author "Ajani A. A."

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    QUALITATIVE COMPARISON OF WI-FI TO FEMTOCELL (HNB) FOR INDOOR WIRELESS DATA ACCESS
    (Zaria Journal of Electrical Engineering Technology, Department of Electrical Engineering, Ahmadu Bello University, Zaria – Nigeria, 2020-03-20) Ahmed O. M.; Adebowale Q. R.; Imam-Fulani Y. O.; Balogun M. O.; Ajani A. A.
    The increasing pressure on spectrum resources of cellular networks has prompted service providers to identify the use of femtocells and Wi-Fi as options for increasing network quality and capacity for indoor data access. This work seeks to make a qualitative comparison of Wi-Fi and femtocell for indoor data access in a Long-Term Evolution (LTE) heterogeneous network, identifying which network access technology serves better for indoor data delivery, using video streaming and Voice over Internet Protocol (VoIP) as services of interest. The performance evaluation was carried out experimentally by using a live Wi-Fi and a Femtocell access point connected via same backhaul. A user equipment with Quality of Service (QoS) parameters measurement capabilities was used to measure parameters of interests from both devices under same measurement conditions for in different indoor scenarios multiple times. We observed differences in the QoS experiences in different scenarios for the access technologies observed, Wi-Fi showed better performance in all of the categories of measurements.
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    Reliability Assessment of 33KV Feeder, (A Case Study of Transmission Company of Nigeria, Ganmo Work Centre.)
    (World Journal of Innovative Research (WJIR), 2019-10-20) Balogun M. O.; Ahmed M. O.; Ajani A. A.; Olaoye H.
    According to statistics, about 80% of the power interruptions result from power distribution system failure. Historical assessment and predictive methods are normally used to evaluate the reliability of a distribution network. Most utilities focus more on historical assessment rather than predictive methods. Hence, it is vital in design and development of distribution network to study and analyse the reliability. This research adopted methods involving analysis and evaluation of reliability of one of the Nigeria transmission station (Ganmo 33KV Ilorin) feeders to see how reliability could be improved in the distribution system by incorporating reliability analysis in the systematic planning approach so that optimum reliability is achieved. Analytical method such as Markov model and reliability indices of each feeder was evaluated, assessed and compared to see how risk of failure could be reduced. The reliability indices for the year 2016 and 2017 are being considered as the case study. The outages on the TCN Ganmo 33KV feeders was studied for 24 months on daily outage data collected from the station. Based on the result obtained from the data analysis illustrated with graphs, it was deduced that dedicated feeders such as KAM and UNILORIN have the highest reliability and more available compared to others residential feeders. This can be attributed to the level of their load demands. Generally, the feeders have least reliability during the period of May to October due to high vegetation and rainfall.