Imam-Fulani Yusuf Olayinka
@unilorin.edu.ng
Lecturer, Departement of Telecommunication Science, Faculty of Communication and Information Sciences
University of Ilorin, Ilorin, Nigeria
Imam-Fulani Yusuf Olayinka is an Assistant Lecturer in the department of Telecommunication Science, faculty of communication and Information Sciences University of Ilorin.
He has served the department level adviser, exam officer, and currently the coordinator for final year undergraduate project. He has also served as member of several committees at the departmental, faculty and management levels.
He has to his credit over 15 publications in reputable outlets covering journals and edited conferences. His area of research interest covers wireless communication, radio propagation, pathloss modeling, and 5G and beyond communication systems. Imam is a member of several professional bodies within outside Nigeria.
EDUCATION
BSc. (Hons) Telecommunication Science
MSc. Telecommunication Science
Ph.D Telecommunication Engineering (ongoing)
RESEARCH, TEACHING, or OTHER INTERESTS
Computer Networks and Communications, Engineering, Computer Science
FUTURE PROJECTS
Radio propagation modeling for 5G and beyond communication systems
Applications Invited
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Abubakar Abdulkarim, Nasir Faruk, Emmanuel Alozie, Hawau Olagunju, Ruqayyah Yusuf Aliyu, Agbotiname Lucky Imoize, Kayode S. Adewole, Yusuf Olayinka Imam-Fulani, Salisu Garba, Bashir Abdullahi Baba,et al.
MDPI AG
Globally, effective and efficient healthcare is critical to the wellbeing and standard of living of any society. Unfortunately, several distant communities far from the national grid do not have access to reliable power supply, owing to economic, environmental, and technical challenges. Furthermore, unreliable, unavailable, and uneconomical power supply to these communities contributes significantly to the delivery of substandard or absence of qualitative healthcare services, resulting in higher mortality rates and associated difficulty in attracting qualified healthcare workers to the affected communities. Given these circumstances, this paper aims to conduct a comprehensive review of the status of renewable energy available to rural healthcare clinics around the globe, emphasizing its potential, analysis, procedures, modeling techniques, and case studies. In this light, several renewable energy modeling techniques were reviewed to examine the optimum power supply to the referenced healthcare centers in remote communities. To this end, analytical techniques and standard indices for reliable power supply to the isolated healthcare centers are suggested. Specifically, different battery storage systems that are suitable for rural healthcare systems are examined, and the most economical and realistic procedure for the maintenance of microgrid power systems for sustainable healthcare delivery is defined. Finally, this paper will serve as a valuable resource for policymakers, researchers, and experts in rural power supply to remote healthcare centers globally.
Emmanuel Alozie, Abdulwaheed Musa, Nasir Faruk, Agbotiname Lucky Imoize, Abubakar Abdulkarim, Aliyu D. Usman, Yusuf Olayinka Imam-Fulani, Kayode S. Adewole, Abdulkarim A. Oloyede, Olugbenga A. Sowande,et al.
Elsevier BV
Yusuf Olayinka Imam-Fulani, Nasir Faruk, Olugbenga A. Sowande, Abubakar Abdulkarim, Emmanuel Alozie, Aliyu D. Usman, Kayode S. Adewole, Abdulkarim A. Oloyede, Haruna Chiroma, Salisu Garba,et al.
MDPI AG
The rapid increase in data traffic caused by the proliferation of smart devices has spurred the demand for extremely large-capacity wireless networks. Thus, faster data transmission rates and greater spectral efficiency have become critical requirements in modern-day networks. The ubiquitous 5G is an end-to-end network capable of accommodating billions of linked devices and offering high-performance broadcast services due to its several enabling technologies. However, the existing review works on 5G wireless systems examined only a subset of these enabling technologies by providing a limited coverage of the system model, performance analysis, technology advancements, and critical design issues, thus requiring further research directions. In order to fill this gap and fully grasp the potential of 5G, this study comprehensively examines various aspects of 5G technology. Specifically, a systematic and all-encompassing evaluation of the candidate 5G enabling technologies was conducted. The evolution of 5G, the progression of wireless mobile networks, potential use cases, channel models, applications, frequency standardization, key research issues, and prospects are discussed extensively. Key findings from the elaborate review reveal that these enabling technologies are critical to developing robust, flexible, dependable, and scalable 5G and future wireless communication systems. Overall, this review is useful as a resource for wireless communication researchers and specialists.
Haruna Chiroma, Ponman Nickolas, Nasir Faruk, Emmanuel Alozie, Imam-Fulani Yusuf Olayinka, Kayode S. Adewole, Abubakar Abdulkarim, Abdulkarim A. Oloyede, Olugbenga A. Sowande, Salisu Garba,et al.
Elsevier BV
Emmanuel Alozie, Nasir Faruk, Abubakar Abdulkarim, Aliyu D. Usman, Yusuf Olayinka Imam-Fulani, Salisu Garba, Kayode S. Adewole, Abdulkarim A. Oloyede, Olugbenga A. Sowande, Bashir Abdullahi Baba,et al.
IEEE
Signal propagation in a particular region differs from another due to differences in atmospheric, climatic and environmental properties, distinct terrain and clutter features. Adequate analysis is essential to understand the radio propagation behavior in a particular region. The ITU-R designated four rain regions, M, N, P, and Q, for Nigeria representing the rain rate distribution and also provided further classifications based on ground conductivity, among other salient parameters. Based on these classifications, this paper utilized the EDX Signal Pro software® to model and simulate a typical Point-to-Point (P2P), Non-Line of Sight (NLOS) link scenarios for 5G networks. The objective was to estimate and compare the total loss, excess loss, and flat fade margins for each rain region in Nigeria. Results obtained from the comparison showed that signals propagating in region N experience the highest level of losses and fading, while, region Q has the least losses and fading.
Yusuf Olayinka Imam-Fulani, Nasir Faruk, Aliyu D. Usman, Abubakar Abdulkarim, Abdoulie M.S Tekanyi, Abdulmalik S. Yaro, Emmanuel Alozie, Salisu Garba, Kayode S. Adewole, Abdulkarim A. Oloyede,et al.
IEEE
5G communication systems provide an end-to-end wireless connection to billions of users and devices across the globe. The quality of signals received during radio communication is notably influenced by the behavior of the radio propagation channel. A major parameter used in characterizing this channel is the Path Loss Exponent (PLE). Several works that have estimated and analyzed the PLE mostly considered the effect of distance and carrier frequency. However, the effect of base station antenna height and channel bandwidth on the PLE for 5G networks have not been adequately considered. To address this, the impact of antenna height of base station and channel bandwidth on the PLE within the 5G Frequency Range 1 (FR1) frequencies was investigated in this study, specifically at 800, 3500, and 5900 MHz. The licensed EDX Signal Pro software® with Cirrus high resolution global terrain and clutter data base was utilized to model, simulate and analyze the PLE for Kano City, Nigeria. Results showed that for the tested frequencies, an increase in either base station height or channel bandwidth leads to a significant reduction in the PLE. This study can be utilized by network planning engineers and the wireless research community to further improve network implementation and optimization toward understanding the behavior of signal propagation in 5G networks and beyond.
Emmanuel Alozie, Abubakar Abdulkarim, Ibrahim Abdullahi, Aliyu D. Usman, Nasir Faruk, Imam-Fulani Yusuf Olayinka, Kayode S. Adewole, Abdulkarim A. Oloyede, Haruna Chiroma, Olugbenga A. Sowande,et al.
MDPI AG
Radio waves are attenuated by atmospheric phenomena such as snow, rain, dust, clouds, and ice, which absorb radio signals. Signal attenuation becomes more severe at extremely high frequencies, usually above 10 GHz. In typical equatorial and tropical locations, rain attenuation is more prevalent. Some established research works have attempted to provide state-of-the-art reviews on modeling and analysis of rain attenuation in the context of extremely high frequencies. However, the existing review works conducted over three decades (1990 to 2022), have not adequately provided comprehensive taxonomies for each method of rain attenuation modeling to expose the trends and possible future research directions. Also, taxonomies of the methods of model validation and regional developmental efforts on rain attenuation modeling have not been explicitly highlighted in the literature. To address these gaps, this paper conducted an extensive literature survey on rain attenuation modeling, methods of analyses, and model validation techniques, leveraging the ITU-R regional categorizations. Specifically, taxonomies in different rain attenuation modeling and analysis areas are extensively discussed. Key findings from the detailed survey have shown that many open research questions, challenges, and applications could open up new research frontiers, leading to novel findings in rain attenuation. Finally, this study is expected to be reference material for the design and analysis of rain attenuation.
Nasir Faruk, Quadri Ramon Adebowale, Imam-Fulani Yusuf Olayinka, Kayode S. Adewole, Abubakar Abdulkarim, Abdulkarim A. Oloyede, Haruna Chiroma, Olugbenga A. Sowande, Lukman A. Olawoyin, Salisu Garba,et al.
Elsevier BV
AbdulGafar Olawale Fahm, Adesina Lukuman Azeez, Yusuf Olayinka Imam-Fulani, Omenogo Veronica Mejabi, Nasir Faruk, Musbau Dogo Abdulrahaman, Lukman Abiodun Olawoyin, Abdulkarim Ayopo Oloyede, and Nazmat Toyin Surajudeen-Bakinde
Springer Science and Business Media LLC
Abubakar Abdulkarim, Nasir Faruk, Emmanuel Alozie, Olugbenga. A. Sowande, Imam-Fulani Yusuf Olayinka, Aliyu D. Usman, Kayode S. Adewole, Abdulkarim A. Oloyede, Haruna Chiroma, Salisu Garba,et al.
IEEE
The demand for high-speed internet services is increasing due to emerging needs such as e-commerce, e-health, education, and other high-technology applications. Wireless communication networks have now become a necessity, especially with the introduction of the 5G networks which have the potential to provide extraordinary data rates with extremely low latency. The deployment and operation of 5G and beyond networks in built-up environments would require a complex and reliable radio propagation model that guides network engineers to achieve effective coverage estimation and appropriate base station placements. The inefficiency, and sometimes inconsistencies of deterministic and empirical path loss models necessitated the need to integrate machine learning models. Recently, different machine learning-based pathloss models have been developed to overcome drawbacks associated with conventional pathloss models due to their significant learning and prediction abilities. This paper aims to review path loss models relative to machine learning-based algorithms with a focus on models developed in the last 21 years (2000 to 2021) to study their network parameters and architectures, designs, and applicability, and proffer further research directions.
Quadri Ramon Adebowale, Nasir Faruk, Kayode S. Adewole, Abubakar Abdulkarim, Abdulkarim A. Oloyede, Haruna Chiroma, Olugbenga. A. Sowande, Aliyu D. Usman, Imam-Fulani Yusuf Olayinka, Abduljalal Yusharu Kassim,et al.
IEEE
The propagation of Electromagnetic waves signal in terrestrial frequency bands in a build-up environment is affected by many factors, leading to signal degradation, diffraction, reflection, scattering, among others. Furthermore, the physical layer interface is one of the most critical factors needed to be carefully analyzed for optimum design of wireless systems. In view of these, several channel models were proposed to optimally predict how radio waves behaves in a typical built-up and complex environments. In the case of Nigeria, when these propagation models are considered at disparate environment, a many of them are susceptible to tremendous prediction error. Hence, there is a need to develop a model suitable for such an environment to minimize errors. This paper used Scale Conjugate and Levenberg-Marquardt algorithms to develop a multi-frequency bands ANN-based path loss prediction model. Furthermore, the paper investigated the effect of ANN system parameters on the model’s performance. Findings revealed that Standard Deviation Error (SDE) and the Correlation Coefficient (R) depend on the model’s network architecture. In addition, the Levenberg-Marquardt algorithm fits the network with complex structures compared to the scale conjugate algorithm. It was further discovered that increment of the number of hidden neurons, ordinarily, does not, in the same way, means an increase in the performance of the model.
M.D. Abdulrahaman, N. Faruk, A.A. Oloyede, N.T. Surajudeen-Bakinde, L.A. Olawoyin, O.V. Mejabi, Y.O. Imam-Fulani, A.O. Fahm, and A.L. Azeez
Elsevier BV
Nasir Faruk, Y Imam-Fulani, I A Sikiru, A A Oloyede, Q R Adebowale, L A Olawoyin, Abubakar Abdulkarim, and Y A Adediran
IAES Indonesia Section
This paper examines the spatial variability of duty cycle in the GSM 900 and 1800 MHz bands within Kwara State, Nigeria. The results show spatial variance in the duty cycle with average occupancies of 1.67%, 17.76%, 10.55% and 0.39%, 11.00% and 5.11 in the rural, urban and all locations for 900 and 1800 MHz bands. Findings also show that there is very high positive correlation between rural 900/1800 MHz and urban 900/1800 MHz. But very high negative correlations exits between urban 900 and rural 1800, and urban 1800 and rural 1800. There is a weak and negative correlation between rural and urban 900 MHz, rural-urban 1800. These results clearly showthe abundance of unutilised spectrum within the GSM bands. Therefore, regulatory commissions should adopt flexible spectrum reuse strategy to relax the regulatory bottlenecks to maximize the scarce radio resources in the licensed bands, especially for rural network deployments
Nasir Faruk, Yusuf Imam-Fulani, Ismael A. Sikiru, Segun I. Popoola, A. A. Oloyede, Lukman A. Olawoyin, N. T. Surajudeen-Bakinde, and A. O. Sowande
IEEE
The introduction of new kinds of technological products, applications and services that rely on wireless communications has resulted into an upsurge inglobal mobile data traffic. There is, therefore, a need to investigate the efficient utilization of the limited available radio spectrum. In this paper, we examine the spatial variation of spectrum occupancy (i.e. duty cycle) in the GSM 900 MHz band within Kwara State, Nigeria. Experimental results show that there is a very high spatial variance in duty cycle from one location to the other with mean occupancies of 1.67% and 17.76% in rural and urban locations respectively. It is worthy to mention that some rural locations recorded 0% duty cycle. Therefore, the telecommunication industry in Nigeria should adopt useful techniques to maximize the scarce radio resources, especially for rural areas.
Ismaeel A. Sikiru, Nasir Faruk, Segun I. Popoola, Yusuf Imam-Fulani, Abdulkareem. A. Oloyede, Lukman A Olawoyin, and Nazmat. T. Surajudeen-Bakinde
IEEE
Explosion in the demand for mobile applications and services necessitates the efficient utilization of the limited radio spectrum. Determination of a suitable detection threshold is an important aspect of spectrum occupancy measurement. Inappropriate choice of the threshold value may either increase the probability of false alarm or failure detection. However, the most appropriate threshold value is not yet clearly stated, though, the International Telecommunication Union (ITU) has provided a benchmark of 10 dB above the noise level as an acceptable threshold value. In this paper, the effects of energy detection threshold techniques on duty cycle in the GSM bands are examined. Spectrum measurements were conducted in the GSM 900 and 1800 MHz bands in Ilorin, Nigeria to cover a bandwidth of 105 MHz. Experimental results based on analytical method of determining noise level (theoretical) and those obtained based on actual measurements of the noise floor (measured) were analyzed. Findings indicated that the MaxNoise overestimates the occupancy values across all bands while the ITU 10 dB was found to be too conservative. Therefore, for optimum prediction, 5 dB above the measured average noise level should be considered as detection threshold. Furthermore, it was found that the number of frames of the sensing data do not have significant effect on the duty cycle.