Arif Abdul Aziz

TL;DR: Based on the experiment and simulation results, it is shown that the distributed wireless charging is advantageous in terms of the coverage probability as long as the optimal distributed beamforming is available in the distributedWireless power transfer system.

TL;DR: This paper studies a multi-antenna wireless-powered sensor network (WPSN), in which a power beacon wirelessly transfers electric energy to a sensor node via an electromagnetic wave, and proposes a receive power-based channel estimation and energy beamforming algorithm and an adaptive duty cycle control algorithm.

TL;DR: This article designs a receiver circuit for processing SWIPT signals, which is designed with the aim of minimizing the circuit complexity and power consumption for information decoding, and analyzes the proposed receiver circuit to derive the closed-form expression for the energy harvesting efficiency and the frequency response of the communication signal.

TL;DR: A prototype WPSN testbed is built with a large-scale antenna array and it is demonstrated that a sensor node can perpetually operate up to the distance of 50 meters with self-powering, validating the potential of turning the WpsN concept into reality.

TL;DR: The proposed beam-splitting beamforming technique that enables a power beacon to split microwave energy beams toward multiple nodes for simultaneous charging achieves the Pareto optimality and has successfully kept all sensor nodes alive by optimally splitting energy beam toward multiple sensor nodes.