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Energy efficiency optimization with energy harvesting using harvest-use approach

Siddiqui, Arooj Mubashara and Musavian, Leila and Ni, Qiang (2015) Energy efficiency optimization with energy harvesting using harvest-use approach. In: 2015 ICC - 2015 IEEE International Conference on Communications Workshops (ICC), 2015-06-08 - 2015-06-12.

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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, Pu, and in-turn, the maximum achievable EE. Analytical derivations show that the maximum achievable EE monotonically increases with harvested power, whereas, Pu 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.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published proceedings: 2015 IEEE International Conference on Communication Workshop, ICCW 2015
Uncontrolled Keywords: Energy harvesting; energy efficiency; convex optimization; fractional programming
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health
Faculty of Science and Health > Computer Science and Electronic Engineering, School of
SWORD Depositor: Elements
Depositing User: Elements
Date Deposited: 02 Feb 2017 15:18
Last Modified: 23 Sep 2022 18:43
URI: http://repository.essex.ac.uk/id/eprint/18942

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