Joint Orthogonal Band and Power Allocation for Energy Fairness in WPT System with Nonlinear Logarithmic Energy Harvesting Model

• DOI: 10.48550/arxiv.2003.13255
• Publication Date: 2020-01-01
• Authors: Jaeseob Han; Gyeong Ho Lee; Sangdon Park; Jun Kyun Choi
• Keywords: Bisection method; Karush–Kuhn–Tucker conditions; Maximization; Microgrid

Wireless power transmission (WPT) is expected to play an important role in the Internet of Things services by providing perpetual operation IoT sensors. However, prolong network's lifetime, efficient resource allocation algorithm required, particular, energy fairness issue among sensors has been a critical challenge WPT system. In this paper, considering as minimum received all poverty (EPISs), we allocate orthogonal frequency bands several EPISs and transfer RF on each band, using beamforming. Based poverty, propose assignment rule, granting priority with less energy. We also formulate two problems, incorporated nonlinear logarithm-energy harvesting (EH) model. First, total maximization (TRPM) problem presented solved combining well-known Karush-Kuhn-Tucker (KKT) conditions modified water-filling algorithm. Second, common (CRPM) formulated optimal solution derived iterative bisection search method. To apply method problem, paper proposes specifying scope for objective function defined sum monotonous functions. numerical results, assuming mobility one-dimensional random walk model, effectiveness presented. Finally, performance proposed schemes verified comparing other resources schemes, such Round robin equal distribution