Abstract
In this paper, we propose an online power allocation (PA) method to maximize energy efficiency (EE) in energy harvesting systems with realistic battery constraints for two receivers. The optimization problem in this system configuration is challenging since it has non-convex fractional form and the information of channel quality and the harvested energy can only be obtained causally in practice. To overcome these issues, we design time-average EE maximization through Lyapunov optimization techniques where the transmission power is computed with current battery information and channel fading. Moreover, based on random matrix theory, we present a simplified online EE algorithm. Numerical experiments verify that the proposed PA outperforms conventional online approaches with much reduced computational complexity.
| Original language | English |
|---|---|
| Journal | IEEE Signal Processing Letters |
| DOIs | |
| Publication status | Accepted/In press - 2018 Jan 1 |
Fingerprint
Keywords
- Batteries
- Energy harvesting
- Fading channels
- Optimization
- Receivers
- Resource management
- Transmitters
ASJC Scopus subject areas
- Signal Processing
- Electrical and Electronic Engineering
- Applied Mathematics
Cite this
Energy Efficient Online Power Allocation for Two Users with Energy Harvesting. / Ashraf, Mateen; Jung, Jaehoon; Shin, Hun Min; Lee, Inkyu.
In: IEEE Signal Processing Letters, 01.01.2018.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Energy Efficient Online Power Allocation for Two Users with Energy Harvesting
AU - Ashraf, Mateen
AU - Jung, Jaehoon
AU - Shin, Hun Min
AU - Lee, Inkyu
PY - 2018/1/1
Y1 - 2018/1/1
N2 - In this paper, we propose an online power allocation (PA) method to maximize energy efficiency (EE) in energy harvesting systems with realistic battery constraints for two receivers. The optimization problem in this system configuration is challenging since it has non-convex fractional form and the information of channel quality and the harvested energy can only be obtained causally in practice. To overcome these issues, we design time-average EE maximization through Lyapunov optimization techniques where the transmission power is computed with current battery information and channel fading. Moreover, based on random matrix theory, we present a simplified online EE algorithm. Numerical experiments verify that the proposed PA outperforms conventional online approaches with much reduced computational complexity.
AB - In this paper, we propose an online power allocation (PA) method to maximize energy efficiency (EE) in energy harvesting systems with realistic battery constraints for two receivers. The optimization problem in this system configuration is challenging since it has non-convex fractional form and the information of channel quality and the harvested energy can only be obtained causally in practice. To overcome these issues, we design time-average EE maximization through Lyapunov optimization techniques where the transmission power is computed with current battery information and channel fading. Moreover, based on random matrix theory, we present a simplified online EE algorithm. Numerical experiments verify that the proposed PA outperforms conventional online approaches with much reduced computational complexity.
KW - Batteries
KW - Energy harvesting
KW - Fading channels
KW - Optimization
KW - Receivers
KW - Resource management
KW - Transmitters
UR - http://www.scopus.com/inward/record.url?scp=85055874148&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85055874148&partnerID=8YFLogxK
U2 - 10.1109/LSP.2018.2878947
DO - 10.1109/LSP.2018.2878947
M3 - Article
JO - IEEE Signal Processing Letters
JF - IEEE Signal Processing Letters
SN - 1070-9908
ER -