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.
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.
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.
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, P<inf>u</inf>, and in-turn, the maximum achievable EE. Analytical derivations show that the maximum achievable EE monotonically increases with harvested power, whereas, P<inf>u</inf> 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) |
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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: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 02 Feb 2017 15:18 |
Last Modified: | 18 Jun 2025 02:47 |
URI: | http://repository.essex.ac.uk/id/eprint/18942 |
Available files
Filename: workshop_2_.pdf