IEICE TRANSACTIONS on Fundamentals
Optimal Transmission Policy in Decoupled RF Energy Harvesting Networks
Summary :
In this letter, we study a scenario based on decoupled RF energy harvesting networks (DRF-EHNs) that separate energy sources from information sources to overcome the doubly near-far problem and improve harvesting efficiency. We propose an algorithm to maximize energy efficiency (EE) while satisfying constraints on the maximum transmit power of the hybrid access point (H-AP) and power beacon (PB), while further satisfying constraints on the minimum quality of service and minimum amount of harvested power in multi-user Rayleigh fading channel. Using nonlinear fractional programming and Lagrangian dual decomposition, we optimize EE with four optimization arguments: the transmit power from the H-AP and PB, time-splitting ratio, and power-splitting ratio. Numerical results show that the proposed algorithm is more energy-efficient compared to baseline schemes.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E101-A No.2 pp.516-520
- Publication Date
- 2018/02/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E101.A.516
- Type of Manuscript
- LETTER
- Category
- Digital Signal Processing
Authors
Yu Min HWANG
Kwangwoon University
Jun Hee JUNG
Kwangwoon University
Yoan SHIN
Soongsil University
Jin Young KIM
Kwangwoon University
Dong In KIM
Sungkyunkwan University
Keyword
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Yu Min HWANG, Jun Hee JUNG, Yoan SHIN, Jin Young KIM, Dong In KIM, "Optimal Transmission Policy in Decoupled RF Energy Harvesting Networks" in IEICE TRANSACTIONS on Fundamentals,
vol. E101-A, no. 2, pp. 516-520, February 2018, doi: 10.1587/transfun.E101.A.516.
Abstract: In this letter, we study a scenario based on decoupled RF energy harvesting networks (DRF-EHNs) that separate energy sources from information sources to overcome the doubly near-far problem and improve harvesting efficiency. We propose an algorithm to maximize energy efficiency (EE) while satisfying constraints on the maximum transmit power of the hybrid access point (H-AP) and power beacon (PB), while further satisfying constraints on the minimum quality of service and minimum amount of harvested power in multi-user Rayleigh fading channel. Using nonlinear fractional programming and Lagrangian dual decomposition, we optimize EE with four optimization arguments: the transmit power from the H-AP and PB, time-splitting ratio, and power-splitting ratio. Numerical results show that the proposed algorithm is more energy-efficient compared to baseline schemes.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E101.A.516/_p
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@ARTICLE{e101-a_2_516,
author={Yu Min HWANG, Jun Hee JUNG, Yoan SHIN, Jin Young KIM, Dong In KIM, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Optimal Transmission Policy in Decoupled RF Energy Harvesting Networks},
year={2018},
volume={E101-A},
number={2},
pages={516-520},
abstract={In this letter, we study a scenario based on decoupled RF energy harvesting networks (DRF-EHNs) that separate energy sources from information sources to overcome the doubly near-far problem and improve harvesting efficiency. We propose an algorithm to maximize energy efficiency (EE) while satisfying constraints on the maximum transmit power of the hybrid access point (H-AP) and power beacon (PB), while further satisfying constraints on the minimum quality of service and minimum amount of harvested power in multi-user Rayleigh fading channel. Using nonlinear fractional programming and Lagrangian dual decomposition, we optimize EE with four optimization arguments: the transmit power from the H-AP and PB, time-splitting ratio, and power-splitting ratio. Numerical results show that the proposed algorithm is more energy-efficient compared to baseline schemes.},
keywords={},
doi={10.1587/transfun.E101.A.516},
ISSN={1745-1337},
month={February},}
Copy
TY - JOUR
TI - Optimal Transmission Policy in Decoupled RF Energy Harvesting Networks
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 516
EP - 520
AU - Yu Min HWANG
AU - Jun Hee JUNG
AU - Yoan SHIN
AU - Jin Young KIM
AU - Dong In KIM
PY - 2018
DO - 10.1587/transfun.E101.A.516
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E101-A
IS - 2
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - February 2018
AB - In this letter, we study a scenario based on decoupled RF energy harvesting networks (DRF-EHNs) that separate energy sources from information sources to overcome the doubly near-far problem and improve harvesting efficiency. We propose an algorithm to maximize energy efficiency (EE) while satisfying constraints on the maximum transmit power of the hybrid access point (H-AP) and power beacon (PB), while further satisfying constraints on the minimum quality of service and minimum amount of harvested power in multi-user Rayleigh fading channel. Using nonlinear fractional programming and Lagrangian dual decomposition, we optimize EE with four optimization arguments: the transmit power from the H-AP and PB, time-splitting ratio, and power-splitting ratio. Numerical results show that the proposed algorithm is more energy-efficient compared to baseline schemes.
ER -
English
