The Library
Analysis and optimisation in wireless energy harvesting networks
Tools
Al-Qahtani, Dokhyl (2022) Analysis and optimisation in wireless energy harvesting networks. PhD thesis, University of Warwick.
PDF
WRAP_Theses_AlQahtani_2022.pdf - Submitted Version Embargoed item. Restricted access to Repository staff only until 17 February 2025. Contact author directly, specifying your specific needs. - Requires a PDF viewer. Download (2381Kb) |
Official URL: http://webcat.warwick.ac.uk/record=b3909623
Abstract
A study of the non-linearity effects of energy harvesting (EH) circuits on wireless networks is presented from the perspective of optimizing and evaluating. Firstly, novel models for conversion efficiency are proposed to capture the non-linearity as a function of frequency. These models are developed using data from practical energy harvesters described in the literature. Based on the shape of the efficiency curves, two different categories of harvesters are referred to here as Type-I and Type-II. The best-fit model for each category is selected based on the adjusted R-square test. Secondly, an extended joint model is proposed to jointly consider both power and frequency dependencies. Using this model, the performance of broadband simultaneous wireless information and power transfer and OFDM hybrid access point are analysed and optimised. Moreover, the impact of non-linear conversion efficiency on the average battery life in LoRaWAN is analysed. Thirdly, the effect of non-linear responsivity on simultaneous lightwave information and power transfer/radio frequency performance is investigated. A tractable mathematical model for the non-linearity of responsivity is developed and then used to derive closed-form expressions for the probability density and cumulative distribution functions of the output signal-to-interference-plus-noise ratio at the receiver over Nakagami-m fading channels. Finally, joint relay selection, power splitting and power allocation are optimised to simultaneously maximise the rate of the network and the energy harvested, which are contradictory objective functions. Using a non-linear energy harvesting model and under two EHscenarios, an optimal resource allocation algorithm is developed by decoupling the relay selection variables from the other resource allocation variables to convert it into equivalent tractable problems. Then, the well-known ϵ-constraint method is adopted and a sub-optimal relay selection algorithmis proposed.
Item Type: | Thesis (PhD) | ||||
---|---|---|---|---|---|
Subjects: | Q Science > QC Physics T Technology > TK Electrical engineering. Electronics Nuclear engineering |
||||
Library of Congress Subject Headings (LCSH): | Energy harvesting, Wireless communication systems, Radio frequency | ||||
Official Date: | September 2022 | ||||
Dates: |
|
||||
Institution: | University of Warwick | ||||
Theses Department: | School of Engineering | ||||
Thesis Type: | PhD | ||||
Publication Status: | Unpublished | ||||
Supervisor(s)/Advisor: | Chen, Yunfei, 1976- | ||||
Format of File: | |||||
Extent: | vi, 177 pages : illustrations | ||||
Language: | eng |
Request changes or add full text files to a record
Repository staff actions (login required)
View Item |