Work place: Graduate School of Electrical and Computer Engineering, TUT, Pretoria, SA
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Research Interests: Computational Science and Engineering, Computer systems and computational processes, Robotics, Computer Architecture and Organization, Analysis of Algorithms, Models of Computation
Biography
Prof. Thomas Otieno Olwal received his Ph.D. degree in computer science from the University of Paris-EST, Champs-sur-Marne, France, in 2010, and the D.Tech. degree in electrical engineering from Tshwane University of Technology (TUT) (in a cotutelle programme), Pretoria, South Africa, in 2011. He is currently lecturing at the TUT as a Professor and previously worked as a Senior Researcher with Wireless Computing and Networking R&D, Council for Scientific and Industrial Research (CSIR). His research interests include analysis and design of the spectrum, energy-efficient radio resource management, Internet of Things, autonomous robotics, and automation and their emerging applications. He serves as a reviewer in a number of ACM/IEEE conferences and journals
By Bekele M. Zerihun Thomas O. Olwal Murad R. Hassen
DOI: https://doi.org/10.5815/ijwmt.2020.01.02, Pub. Date: 8 Feb. 2020
In recent years, the number of devices connected to the Internet has been increased exponentially, which creates a new ecosystem known as the Internet of Things (IoT). According to Cisco’s prediction, it is expected that over 50 billion devices will be connected to the Internet by 2020. In fact, IoT is expected to be a key enabling technology to accommodate the massive connectivity of heterogeneous smart devices in the upcoming fifth-generation networks. However, in a limited resource environment, the existing spectrum will not be sufficient to satisfy all these spectrum demand. Sharing the idle spectrum in licensed and unlicensed bands is a feasible solution for effective IoT deployment. Therefore, in this paper, we provide a survey of advanced spectrum sharing techniques and emerging IoT technologies to exploit the spectrum both in existing licensed cellular infrastructures and unlicensed spectrum bands. To the best of our knowledge, different from the existing literature, we identify the potential research challenges and suggest future directions for efficient IoT deployment in next-generation wireless networks.
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