Joint Transmit Waveform Design and Resource Allocation for IRS-assisted WPT Systems with Non-linear EH Circuits
The substantial growth of the number of Internet-of-Things (IoT) devices in the recent years has motivated the research on the optimal design of far field wireless power transfer (WPT) systems, which enable efficient recharging of the batteries of small low-power devices. To increase the amount of power that can be harvested at user devices, modern WPT system designs employ multiple antennas at the base station and require accurate joint optimization of transmit beamforming and signal waveform due to the non-linearity of practical energy harvesting circuits. Furthermore, recently, adaptive intelligent reflecting surfaces (IRSs) have shown their ability to shape the signal propagation environment and thus, to significantly boost the efficiency of WPT systems. In this project, we aim at the joint design of the transmit signal waveform and resource allocation for IRS-assisted WPT systems for the maximization of the harvested powers at the non-linear EH nodes.
Guidelines for the Project
- Conduct a literature survey on IRS-assisted WPT systems
- Formulate an optimization problem to obtain the optimal system design
- Develop an optimal and suboptimal algorithms to solve the problem
- Simulate the designed WPT system in Matlab and analyze the system performance
If successful, this work may lead to the publication of a journal and/or conference paper.
Prerequisites
- Interest in communications and signal processing,
- basic knowledge of digital and mobile communication systems (e.g., gained in the courses “Digital Communications” and “Fundamentals of Mobile Communications”).
- Experience in Matlab and/or C++ programming.
- Fluent English language
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