Electrical and Electronics Engineering PhD Thesis Defense by Mustafa Özger

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KOÇ UNIVERSITY

GRADUATE SCHOOL OF SCIENCES & ENGINEERING

ELECTRICAL AND ELECTRONICS ENGINEERING

PhD THESIS DEFENSE BY MUSTAFA ÖZGER

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Title: Advanced Communication Techniques for Next-generation Cognitive Wireless Networks

Speaker: Mustafa Özger

Time: November 14, 2017, 14:45

Place: ENG B11

Koç University

Rumeli Feneri Yolu

Sariyer, Istanbul

Thesis Committee Members:

Prof. Özgür B. Akan (Advisor, Koc University)

Prof. A. Murat Tekalp (Koc University)

Prof. Fatih Alagöz (Bogazici University)

Prof. Alper Erdoğan (Koc University)

Assoc. Prof. Berk Canberk (Istanbul Technical University)

Abstract:

Demand for the electromagnetic spectrum has lead to a fundamental problem in wireless communications. Since most of the spectrum is allocated to licensed users, unlicensed users are squeezed into the Industrial, Scientific and Medical (ISM) band. Licensed spectrum bands are underutilized, driven by spatial and temporal variation in their utilization. Cognitive Radio (CR) stands as the most promising technology to overcome this problem, enabling next-generation cognitive wireless networks. CR enables accessing the licensed spectrum opportunistically with limited interference. In this thesis, CR is adopted in different types of wireless networks to realize next-generation cognitive wireless networks. Due to greatness of the domain, this thesis focuses four fundamental wireless network architectures with CR capability. First architecture is cognitive radio ad hoc and sensor networks. Spectrum opportunity characterization is performed, mobility-aware clustering protocol is proposed, clustering in multi-channel spectrum-aware environment is investigated, energy optimal transmission range is found, network coding is studied for multicast communication. Second architecture is wireless networked control systems with cognitive radio capability. Maximum coverage area and maximum energy-efficiency under Kalman filter convergence with maximum cost-efficiency are studied. Third architecture is cognitive wireless multimedia networks. Challenges, requirements and existing solutions are analyzed to enable spectrum-aware communications in cognitive wireless multimedia networks with open research issues. Last architecture is Internet of Things with CR capability. Network coding application is utilized to decrease transmission efforts, and energy harvesting in the domain of smart grid and smart cities is investigated to overcome limited energy supply challenge. The analysis and studies in this thesis help the realization of next-generation cognitive wireless networks.