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UAV-aided Wireless Power Transfer and Data Collection in Rician Fading

Research output: Contribution to journalJournal articlepeer-review

E-pub ahead of print

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UAV-aided Wireless Power Transfer and Data Collection in Rician Fading. / Liu, Y.; Xiong, K.; Lu, Y.; Ni, Q.; Fan, P.; Letaief, K.B.

In: IEEE Journal on Selected Areas in Communications, 02.07.2021.

Research output: Contribution to journalJournal articlepeer-review

Harvard

Liu, Y, Xiong, K, Lu, Y, Ni, Q, Fan, P & Letaief, KB 2021, 'UAV-aided Wireless Power Transfer and Data Collection in Rician Fading', IEEE Journal on Selected Areas in Communications. https://doi.org/10.1109/JSAC.2021.3088693

APA

Liu, Y., Xiong, K., Lu, Y., Ni, Q., Fan, P., & Letaief, K. B. (2021). UAV-aided Wireless Power Transfer and Data Collection in Rician Fading. IEEE Journal on Selected Areas in Communications. https://doi.org/10.1109/JSAC.2021.3088693

Vancouver

Liu Y, Xiong K, Lu Y, Ni Q, Fan P, Letaief KB. UAV-aided Wireless Power Transfer and Data Collection in Rician Fading. IEEE Journal on Selected Areas in Communications. 2021 Jul 2. https://doi.org/10.1109/JSAC.2021.3088693

Author

Liu, Y. ; Xiong, K. ; Lu, Y. ; Ni, Q. ; Fan, P. ; Letaief, K.B. / UAV-aided Wireless Power Transfer and Data Collection in Rician Fading. In: IEEE Journal on Selected Areas in Communications. 2021.

Bibtex

@article{6ccc3587bea149289338ddadd36b7471,
title = "UAV-aided Wireless Power Transfer and Data Collection in Rician Fading",
abstract = "A UAV-aided wireless power transfer and data collection network is studied, where it is assumed that when the harvested energy at the sensor node (SN) cannot surpass its circuit activation threshold or the received data rate at UAV falls below a minimal required rate threshold, the information outage occurs. The closed-form expressions of energy outage probability and rate outage probability are derived at first, and then the overall outage probability and coverage performance of the system are analyzed. Based on which, an optimization problem is formulated to minimize the overall outage probability by optimizing UAV{\textquoteright}s elevation angle and the time splitting (TS) factor. Since the problem is non-convex and has no known solution, an alternating optimization (AO)-based algorithm with Golden-section (GS) based linear search method is designed to find the global optimal solution. In order to explore the maximum coverage area of the UAV for a given tolerable outage probability, another optimization problem is also formulated to maximize the coverage range by optimizing UAV{\textquoteright}s elevation angle. By using Karush-Kuhn-Tucker (KKT) conditions, the closed-form solution of the optimal elevation angle for maximizing the coverage area is derived. Monte Carlo simulations verify the accuracy of the derived closed-form expression of the overall outage probability and the semi-closed-form expressions of the optimum UAV{\textquoteright}s elevation angle and TS factor. It shows that there exist a unique optimum elevation angle and the TS factor to achieve the minimum overall outage probability, and significant performance gain can be obtained by using our proposed optimization scheme. The developed theoretical results can be useful to the design of UAV-aided wireless communication systems with wireless power transfer. IEEE",
keywords = "Data collection, data collection, Optimization, outage analysis, Power system reliability, Probability, Rician channels, Rician fading, UAV communication, Wireless communication, Wireless power transfer, wireless power transfer, Data acquisition, Energy transfer, Image resolution, Inductive power transmission, Monte Carlo methods, Sensor nodes, Unmanned aerial vehicles (UAV), Alternating optimizations, Closed form solutions, Closed-form expression, Data collection networks, Global optimal solutions, Karush-Kuhn-Tucker condition, Overall outage probabilities, Wireless communication system, Outages",
author = "Y. Liu and K. Xiong and Y. Lu and Q. Ni and P. Fan and K.B. Letaief",
note = "{\textcopyright}2021 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. ",
year = "2021",
month = jul,
day = "2",
doi = "10.1109/JSAC.2021.3088693",
language = "English",
journal = "IEEE Journal on Selected Areas in Communications",
issn = "0733-8716",
publisher = "IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC",

}

RIS

TY - JOUR

T1 - UAV-aided Wireless Power Transfer and Data Collection in Rician Fading

AU - Liu, Y.

AU - Xiong, K.

AU - Lu, Y.

AU - Ni, Q.

AU - Fan, P.

AU - Letaief, K.B.

N1 - ©2021 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

PY - 2021/7/2

Y1 - 2021/7/2

N2 - A UAV-aided wireless power transfer and data collection network is studied, where it is assumed that when the harvested energy at the sensor node (SN) cannot surpass its circuit activation threshold or the received data rate at UAV falls below a minimal required rate threshold, the information outage occurs. The closed-form expressions of energy outage probability and rate outage probability are derived at first, and then the overall outage probability and coverage performance of the system are analyzed. Based on which, an optimization problem is formulated to minimize the overall outage probability by optimizing UAV’s elevation angle and the time splitting (TS) factor. Since the problem is non-convex and has no known solution, an alternating optimization (AO)-based algorithm with Golden-section (GS) based linear search method is designed to find the global optimal solution. In order to explore the maximum coverage area of the UAV for a given tolerable outage probability, another optimization problem is also formulated to maximize the coverage range by optimizing UAV’s elevation angle. By using Karush-Kuhn-Tucker (KKT) conditions, the closed-form solution of the optimal elevation angle for maximizing the coverage area is derived. Monte Carlo simulations verify the accuracy of the derived closed-form expression of the overall outage probability and the semi-closed-form expressions of the optimum UAV’s elevation angle and TS factor. It shows that there exist a unique optimum elevation angle and the TS factor to achieve the minimum overall outage probability, and significant performance gain can be obtained by using our proposed optimization scheme. The developed theoretical results can be useful to the design of UAV-aided wireless communication systems with wireless power transfer. IEEE

AB - A UAV-aided wireless power transfer and data collection network is studied, where it is assumed that when the harvested energy at the sensor node (SN) cannot surpass its circuit activation threshold or the received data rate at UAV falls below a minimal required rate threshold, the information outage occurs. The closed-form expressions of energy outage probability and rate outage probability are derived at first, and then the overall outage probability and coverage performance of the system are analyzed. Based on which, an optimization problem is formulated to minimize the overall outage probability by optimizing UAV’s elevation angle and the time splitting (TS) factor. Since the problem is non-convex and has no known solution, an alternating optimization (AO)-based algorithm with Golden-section (GS) based linear search method is designed to find the global optimal solution. In order to explore the maximum coverage area of the UAV for a given tolerable outage probability, another optimization problem is also formulated to maximize the coverage range by optimizing UAV’s elevation angle. By using Karush-Kuhn-Tucker (KKT) conditions, the closed-form solution of the optimal elevation angle for maximizing the coverage area is derived. Monte Carlo simulations verify the accuracy of the derived closed-form expression of the overall outage probability and the semi-closed-form expressions of the optimum UAV’s elevation angle and TS factor. It shows that there exist a unique optimum elevation angle and the TS factor to achieve the minimum overall outage probability, and significant performance gain can be obtained by using our proposed optimization scheme. The developed theoretical results can be useful to the design of UAV-aided wireless communication systems with wireless power transfer. IEEE

KW - Data collection

KW - data collection

KW - Optimization

KW - outage analysis

KW - Power system reliability

KW - Probability

KW - Rician channels

KW - Rician fading

KW - UAV communication

KW - Wireless communication

KW - Wireless power transfer

KW - wireless power transfer

KW - Data acquisition

KW - Energy transfer

KW - Image resolution

KW - Inductive power transmission

KW - Monte Carlo methods

KW - Sensor nodes

KW - Unmanned aerial vehicles (UAV)

KW - Alternating optimizations

KW - Closed form solutions

KW - Closed-form expression

KW - Data collection networks

KW - Global optimal solutions

KW - Karush-Kuhn-Tucker condition

KW - Overall outage probabilities

KW - Wireless communication system

KW - Outages

U2 - 10.1109/JSAC.2021.3088693

DO - 10.1109/JSAC.2021.3088693

M3 - Journal article

JO - IEEE Journal on Selected Areas in Communications

JF - IEEE Journal on Selected Areas in Communications

SN - 0733-8716

ER -