Data Collection in Radio Frequency (RF) Charging Internet of Things Networks

• Published in: IEEE communications letters Vol. 25; no. 6; pp. 1959 - 1963
• Main Authors: Yu, Hang, Chin, Kwan-Wu
• Format: Journal Article
• Language: English
• Published: New York IEEE 01-06-2021; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Array signal processing; Data collection; Downlink; Energy harvesting; Internet of Things; Logic gates; Mixed integer; Optimization; Power management; Probabilistic models; Radio frequency; receding horizon control; Resource management; RF charging; Time division multiple access; Wireless power transfer
• ISSN: 1089-7798; 1558-2558
• DOI: 10.1109/LCOMM.2021.3059279

This letter considers minimizing the time required to collect <inline-formula> <tex-math notation="LaTeX">L </tex-math></inline-formula> bits from each Radio Frequency (RF)-energy harvesting device serviced by a multi-antenna Hybrid Access Point (HAP). We outline a Mixed Integer Non-Linear Program (MINLP) to determine the transmit power allocation of the HAP and devices over multiple time slots. We also outline a Receding Horizon Control (RHC) approach coupled with a Gaussian Mixture Model (GMM) to optimize the transmit power allocation of the HAP. Our results show that the performance of our approach is within 5% of the optimal solution.