Bekele M. Zerihun

Work place: School of Electrical and Computer Engineering, AAiT, AAU, Addis Ababa, Ethiopia

E-mail: bekele.mulu@aait.edu.et

Website:

Research Interests: Software, Software Engineering, Computer Networks

Biography

Mr. Bekele Mulu Zerihun received his B.Sc. and M.Sc. in Electrical Engineering in 2006 and 2014 respectively from Adama Science and Technology University and Bahir Dar

University, Ethiopia. He is working as Lecturer in the department of Electrical and Computer Engineering, Wolaita Sodo University, Ethiopia and previously worked as a supervisor in Telecom projects. He is currently pursuing Ph.D. at Addis Ababa Institute of Technology (AAiT), Addis Ababa, Ethiopia. His research interests include spectrum sharing in cognitive radio networks, wireless sensor networks, Internet of Things, and

software defined networks

Author Articles
Spectrum Sharing Technologies for Cognitive IoT Networks: Challenges and Future Directions

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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