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UBC Theses and Dissertations

Design and analysis of energy harvesting wireless communication systems Ahmed, Imran


Recent advancement in wireless communication networks expect exponential growth of smart phones, diverse wireless services and Internet of Things (IoT) applications. The extensive growth of wireless devices can significantly increase energy consumption, and therefore, creates environmental pollution. An urge for green communication is building up day by day. As a matter of fact, there is a need to design environment friendly wireless communication technologies and energy efficient resource allocation solutions, which will potentially drive the next generation of wireless communication. In this thesis, we design and analyse energy harvesting wireless communication system by considering both renewable energy and RF energy sources. For a relayed communication system, we develop joint optimal power and power-splitting ratio allocation scheme where relay does not have its own energy supply. The relay harvests energy from interference and the signal received from the source. We consider both half-duplex and full-duplex relaying. For half-duplex relaying, we analyse the amount of harvested energy by controlling the amount of incoming interference using power splitting ratio. In addition, we show the impact of self-interference for full-duplex relay and compare the results with half-duplex cooperative energy harvesting wireless networks. Next, we consider multi-relay network, where relays harvest renewable energies from the surrounding environment. For this setup, we propose the optimal policy for relay selection and power allocation under unknown statistics of the channel fading and energy arrival processes. In particular, we develop an efficient low-complexity learning algorithm that does not require the statistics of the channel fading and energy harvesting processes to be known.

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Attribution-NonCommercial-NoDerivatives 4.0 International