Communities in DSpace

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Recent Submissions

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Impact of Climate Change on Africa and the Challenges of the dispute resolution Regime under the kyoto Protocol
(Faculty of Law, University of Ibadan, 2012) Akanbi MM; Imam-Tamim MK; Abdulkadri AO
The paper examines the trade mechanism of the Kyoto Protocol and likely disputes under the Protocol
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CONTROL, OWNERSHIP AND DEVELOPMENT OF MINERAL RESOUCES IN INTERNATIONAL LAW: THE UNITED NATIONS APPROACH
(Faculty of Law, University of Maiduguri, 2010) Ismail Adua Mustapha,; M. K. Imam-Tamim,; Razaq O. Kadir
The paper examines the ownership, control and development of mineral resources before the United Nations intervention and the approach of United Nations to the ownership control and development of mineral resources.
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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., 2020-03-01) 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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ANN-based model for multiband path loss prediction in built-up environments
(Elsevier, 2022-08-10) Nasir Faruk a , b , ∗, Quadri Ramon Adebowale c , Imam-Fulani Yusuf Olayinka c , Kayode S. Adewole d , Abubakar Abdulkarim e , Abdulkarim A. Oloyede c , Haruna Chiroma f , Olugbenga A. Sowande c , Lukman A. Olawoyin c , Salisu Garba g , Aliyu D. Usman h , Yinusa A. Adediran i , Lawan S. Taura a , b
Path loss propagation models are critically needed for optimum planning and deployment of wireless communication networks. However, the complexity exhibited by the propa- gated signals makes the prediction of the received losses difficult in built-up environments. There is however a new paradigm shift towards the application of computational method- ologies, such as the Artificial Neural Networks (ANN), for multi-band path loss prediction. In this paper, we have developed a new ANN-based model for path loss prediction. The model was developed using large scale path loss data collected across 485 base stations in 6 urban cities of Nigeria, West Africa. The data collection, which spanned a period of 9 years, were taken over open areas, sub urban and urban environments, and the bands considered were 89.3 MHz, 103.5 MHz, 203.25MHz, 429.25 MHz, 529.25MHz, 615.25MHz, 629.25MHz, 900MHz, 1800 MHz and 2100MHz. The developed model was validated using independent path loss data across different frequencies, environments; and, distances and the results were compared with the popular empirical models such as Hata, COST 231 and Egli models, and to previously published ANN-based multi-frequency models. The global performance of 4.81 dB was obtained in terms of RMSE value with an R-value of 0.96, thus outperforming the existing ANN-based path loss models that were developed for multiple frequencies. Based on these findings, the proposed model can be deployed across all cate- gories since the average RMSE values are all within the acceptable thresholds. Furthermore, the model is multi-frequency, thus will be suitable for multiple and complex environments, and usable for both short- and long-range wireless communication networks.
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Application of Computational Intelligence Algorithms in Radio Propagation: A Systematic Review and Metadata Analysis
(Mobile Information Systems, 2021-02-24) Quadri Ramon Adebowale, Nasir Faruk, Kayode S. Adewole, Abubakar Abdulkarim, Lukman A. Olawoyin, Abdulkarim A. Oloyede, Haruna Chiroma, Aliyu D. Usman, and Carlos T. Calafate
The importance of wireless path loss prediction and interference minimization studies in various environments cannot be overemphasized. In fact, numerous researchers have done massive work on scrutinizing the effectiveness of existing path loss models for channel modeling. The difficulties experienced by the researchers determining or having the detailed information about the propagating environment prompted for the use of computational intelligence (CI) methods in the prediction of path loss. This paper presents a comprehensive and systematic literature review on the application of nature-inspired computational approaches in radio propagation analysis. In particular, we cover artificial neural networks (ANNs), fuzzy inference systems (FISs), swarm intelligence (SI), and other computational techniques. The main research trends and a general overview of the different research areas, open research issues, and future research directions are also presented in this paper. This review paper will serve as reference material for researchers in the field of channel modeling or radio propagation and in particular for research in path loss prediction.