Practical Non-Linear Energy Harvesting Model and Resource Allocation in SWIPT Systems (Master Thesis)

Simultaneous wireless information and power transfer (SWIPT) is a promising solutionfor enabling long-life, and self-sustainable wireless networks. In this thesis, we proposea practical non-linear energy harvesting (EH) model and design a resource allocationalgorithm for SWIPT systems. In particular, the algorithm design is formulated as anon-convex optimization problem for the maximization of the total harvested powerat the EH receivers subject to quality of service (QoS) constraints for the informationdecoding (ID) receivers. To circumvent the non-convexity of the problem, we transformthe corresponding non-convex sum-of-ratios objective function into an equivalent objec-tive function in parametric subtractive form. Furthermore, we design a computationallyefficient iterative resource allocation algorithm to obtain the globally optimal solution.Numerical results illustrate significant performance gain in terms of average total har-vested power for the proposed non-linear EH receiver model, when compared to thetraditional linear model. Publications related to the thesis:• E. Boshkovska, D. W. K. Ng, N. Zlatanov, and R. Schober, “Practical Non-linearEnergy Harvesting Model and Resource Allocation for SWIPT Systems," IEEECommun. Lett., vol. 19, pp. 2082 2085, Dec. 2015.• E. Boshkovska, R. Morsi, D. W. K. Ng, and R. Schober, “Power Allocation andScheduling for SWIPT Systems with Non-linear Energy Harvesting Model," ac-cepted for presentation at IEEE ICC 2016.• E. Boshkovska, D. W. K. Ng, N. Zlatanov, and R. Schober, “Robust Beamformingfor SWIPT systems with Non-linear Energy Harvesting Model," invited paper,17th IEEE International workshop on Signal Processing advances in WirelessCommunications, Jul. 2016.