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Energy efficiency optimization with energy harvesting using harvest-use approach

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

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Energy efficiency optimization with energy harvesting using harvest-use approach. / Siddiqui, Arooj; Musavian, Leila; Ni, Qiang.

Communication Workshop (ICCW), 2015 IEEE International Conference on. IEEE, 2015. p. 1982-1987.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Siddiqui, A, Musavian, L & Ni, Q 2015, Energy efficiency optimization with energy harvesting using harvest-use approach. in Communication Workshop (ICCW), 2015 IEEE International Conference on. IEEE, pp. 1982-1987, IEEE International Conference on Communications (ICC), 2015, London, United Kingdom, 8/06/15. https://doi.org/10.1109/ICCW.2015.7247471

APA

Siddiqui, A., Musavian, L., & Ni, Q. (2015). Energy efficiency optimization with energy harvesting using harvest-use approach. In Communication Workshop (ICCW), 2015 IEEE International Conference on (pp. 1982-1987). IEEE. https://doi.org/10.1109/ICCW.2015.7247471

Vancouver

Siddiqui A, Musavian L, Ni Q. Energy efficiency optimization with energy harvesting using harvest-use approach. In Communication Workshop (ICCW), 2015 IEEE International Conference on. IEEE. 2015. p. 1982-1987 https://doi.org/10.1109/ICCW.2015.7247471

Author

Siddiqui, Arooj ; Musavian, Leila ; Ni, Qiang. / Energy efficiency optimization with energy harvesting using harvest-use approach. Communication Workshop (ICCW), 2015 IEEE International Conference on. IEEE, 2015. pp. 1982-1987

Bibtex

@inproceedings{c237f2469ac4430dbd7820f88ae66550,
title = "Energy efficiency optimization with energy harvesting using harvest-use approach",
abstract = "Energy harvesting is emerging as a promising approach to improve the energy efficiency (EE) and to extend the life of wireless networks. This paper focuses on energy-efficient transmission power allocation techniques for a point-to-point communication channel, equipped with a fixed-power battery, as well as a harvest-use battery. Using the fact that the harvested energy does not consume from the fixed battery, EE is formulated as the ratio of Shannon limit (as a function of the sum of the power consumed from the fixed battery and the harvest-use battery) to the sum of the circuit power and power consumed from the fixed battery. For the considered energy harvest-use technique, a time switching approach is used that in each frame, the node harvests energy for a percentage of frame time and transmits data for the rest of the frame time. Using the fact that the formulated EE is a quasi-concave function in transmission power, we use fractional programming to obtain the optimal power level, P̅u, and in-turn, the maximum achievable EE. Analytical derivations show that the maximum achievable EE monotonically increases with harvested power, whereas, P̅u monotonically decreases with it. Simulation results show the effects of harvested energy, fixed-battery power limit, and time switching rate on the maximum achievable EE.",
author = "Arooj Siddiqui and Leila Musavian and Qiang Ni",
note = "{\textcopyright}2015 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.; IEEE International Conference on Communications (ICC), 2015 ; Conference date: 08-06-2015 Through 12-06-2015",
year = "2015",
month = jun,
day = "8",
doi = "10.1109/ICCW.2015.7247471",
language = "English",
isbn = "9781467363051",
pages = "1982--1987",
booktitle = "Communication Workshop (ICCW), 2015 IEEE International Conference on",
publisher = "IEEE",

}

RIS

TY - GEN

T1 - Energy efficiency optimization with energy harvesting using harvest-use approach

AU - Siddiqui, Arooj

AU - Musavian, Leila

AU - Ni, Qiang

N1 - ©2015 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 - 2015/6/8

Y1 - 2015/6/8

N2 - Energy harvesting is emerging as a promising approach to improve the energy efficiency (EE) and to extend the life of wireless networks. This paper focuses on energy-efficient transmission power allocation techniques for a point-to-point communication channel, equipped with a fixed-power battery, as well as a harvest-use battery. Using the fact that the harvested energy does not consume from the fixed battery, EE is formulated as the ratio of Shannon limit (as a function of the sum of the power consumed from the fixed battery and the harvest-use battery) to the sum of the circuit power and power consumed from the fixed battery. For the considered energy harvest-use technique, a time switching approach is used that in each frame, the node harvests energy for a percentage of frame time and transmits data for the rest of the frame time. Using the fact that the formulated EE is a quasi-concave function in transmission power, we use fractional programming to obtain the optimal power level, P̅u, and in-turn, the maximum achievable EE. Analytical derivations show that the maximum achievable EE monotonically increases with harvested power, whereas, P̅u monotonically decreases with it. Simulation results show the effects of harvested energy, fixed-battery power limit, and time switching rate on the maximum achievable EE.

AB - Energy harvesting is emerging as a promising approach to improve the energy efficiency (EE) and to extend the life of wireless networks. This paper focuses on energy-efficient transmission power allocation techniques for a point-to-point communication channel, equipped with a fixed-power battery, as well as a harvest-use battery. Using the fact that the harvested energy does not consume from the fixed battery, EE is formulated as the ratio of Shannon limit (as a function of the sum of the power consumed from the fixed battery and the harvest-use battery) to the sum of the circuit power and power consumed from the fixed battery. For the considered energy harvest-use technique, a time switching approach is used that in each frame, the node harvests energy for a percentage of frame time and transmits data for the rest of the frame time. Using the fact that the formulated EE is a quasi-concave function in transmission power, we use fractional programming to obtain the optimal power level, P̅u, and in-turn, the maximum achievable EE. Analytical derivations show that the maximum achievable EE monotonically increases with harvested power, whereas, P̅u monotonically decreases with it. Simulation results show the effects of harvested energy, fixed-battery power limit, and time switching rate on the maximum achievable EE.

U2 - 10.1109/ICCW.2015.7247471

DO - 10.1109/ICCW.2015.7247471

M3 - Conference contribution/Paper

SN - 9781467363051

SP - 1982

EP - 1987

BT - Communication Workshop (ICCW), 2015 IEEE International Conference on

PB - IEEE

T2 - IEEE International Conference on Communications (ICC), 2015

Y2 - 8 June 2015 through 12 June 2015

ER -