No abstract

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.

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.

The incredible development in the utilization of smartphones has driven the development of billions of software applications famously known as 'apps' to accomplish roles outside phone call and SMS messages in the day-to-day lives of users. Current assessments show that there are a huge number of applications developed at a meteor pace to give clients a rich and quick client experience. Mobile apps users are more concerned about stability and quality now more than ever despite the increase in the scale and size of apps. As such, mobile apps have to be designed, built, and produced for less money (maintainability, portability, and reusability), with greater performance, reliable security and fewer resources (efficiency) than ever before. This paper aimed at providing support for mobile application developers in dealing with the evereluding non-functional requirements by proposing a data-driven model that simplifies the non-functional requirements (NFR) p in the development of an application for mobile devices. The study tries to find out if NFR can be treated the same way as functional requirements in mobile application development. Finally, this paper shows the experimental evaluation of the proposed data-driven model of dealing for nonfunctional requirements in the development of mobile apps and the results obtained from the application of the model are also discussed.

In healthcare services, patient medical records are becoming large in size and the complexity of exchanging patient records such as prescription detail, referral data, diagnosis status and appointment schedules between various clinic-units can be a problem without a fully integrated system. Moreover, access to patient records requires privacy. Quite a number of works have been conducted on healthcare services to address issues such as medical record inconsistency, lack of immediate record storage and retrieval and paper-based approach. Consequently, this work tries to automate and enhance the clinical services of Sule Lamido University Clinic by developing a web-based application. The application will allow both the clinicians and patients to have access to electronic records easily, which will, in turn, minimize the cost, difficulties, and ineffectiveness of working with patients' records manually and to enhance the benefits and profits in running the clinic services. It can be used in decision making as it provides complete, reliable, accessible and understandable information pointing to the clinic progress and shortcomings. Initially, the problems of the current system were identified, the requirements were however specified and analyzed. Model of the system was designed and implemented using SDLC and finally, the system was tested and validated. The results revealed that the system complies with the specified requirements. Hence, the objectives under which the system is defined were achieved.