Mathematical Modelling of RF Energy Harvesting for Mobile Device

Abstract

The area of energy harvesting, has seen numerous evolutions among the research community. Although several studies have been attempted to address the issues of energy harvesting in the past decade, very few studies have focused on explicitly using RF energy from mobile phones. Hence, the prime intention of the proposed study is to design a mathematical model of RF energy harvesting through Stochastic Mathematical Method of Energy Harvesting (SMM-EH). For better analytical evaluation, SMM-EH is designed analytically and evaluated using a simulation-based approach considering various nearbyreal-time constraints of mobile devices, traffic scenario, as well as discrete state definition of the system. Furthermore, in order to propose/initiate optimization in RF energy harvesting, an optimized framework for ambient radio frequency based energy harvesting (ORF-EH) is presented. The ORF-EH involves two different types of algorithms, namely,(i) algorithm for computation of the probability of energy harvesting and (ii) algorithm for linear optimization. The outcome of the proposed SMM-EH is analyzed using probability for loss of the event, queuing delay, and throughput and eventually compared with the most recent standard work reported in the literature. The comparative analysis suggests that the SMM-EH system has better performance and better sustenance capability of energy harvesting for longer duration. The ORF-EH system also evaluates the energy budget, harvesting gain, probability of error floor as well as loss of RF signals. Thus, the ORF-EH system efficiently performs the energy harvesting operation even when the availability of RF sources is less. newline