IEICE TRANSACTIONS on Fundamentals
Energy-Efficient Power Allocation with Rate Proportional Fairness Constraint in Non-Orthogonal Multiple Access Systems
Summary :
In this letter, we consider the power allocation scheme with rate proportional fairness to maximize energy efficiency in the downlink the non-orthogonal multiple access (NOMA) systems. The optimization problem of energy efficiency is a non-convex optimization problem, and the fractional programming is used to transform the original problem into a series of optimization sub-problems. A two-layer iterative algorithm is proposed to solve these sub-problems, in which power allocation with the fixed energy efficiency is achieved in the inner layer, and the optimal energy efficiency of the system is obtained by the bisection method in the outer layer. Simulation results show the effectiveness of the proposed algorithm.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E101-A No.4 pp.734-737
- Publication Date
- 2018/04/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E101.A.734
- Type of Manuscript
- LETTER
- Category
- Communication Theory and Signals
Authors
Zheng-qiang WANG
Chongqing University of Posts and Telecommunications
Chen-chen WEN
Chongqing University of Posts and Telecommunications
Zi-fu FAN
Chongqing University of Posts and Telecommunications
Xiao-yu WAN
Chongqing University of Posts and Telecommunications
Keyword
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Zheng-qiang WANG, Chen-chen WEN, Zi-fu FAN, Xiao-yu WAN, "Energy-Efficient Power Allocation with Rate Proportional Fairness Constraint in Non-Orthogonal Multiple Access Systems" in IEICE TRANSACTIONS on Fundamentals,
vol. E101-A, no. 4, pp. 734-737, April 2018, doi: 10.1587/transfun.E101.A.734.
Abstract: In this letter, we consider the power allocation scheme with rate proportional fairness to maximize energy efficiency in the downlink the non-orthogonal multiple access (NOMA) systems. The optimization problem of energy efficiency is a non-convex optimization problem, and the fractional programming is used to transform the original problem into a series of optimization sub-problems. A two-layer iterative algorithm is proposed to solve these sub-problems, in which power allocation with the fixed energy efficiency is achieved in the inner layer, and the optimal energy efficiency of the system is obtained by the bisection method in the outer layer. Simulation results show the effectiveness of the proposed algorithm.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E101.A.734/_p
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@ARTICLE{e101-a_4_734,
author={Zheng-qiang WANG, Chen-chen WEN, Zi-fu FAN, Xiao-yu WAN, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Energy-Efficient Power Allocation with Rate Proportional Fairness Constraint in Non-Orthogonal Multiple Access Systems},
year={2018},
volume={E101-A},
number={4},
pages={734-737},
abstract={In this letter, we consider the power allocation scheme with rate proportional fairness to maximize energy efficiency in the downlink the non-orthogonal multiple access (NOMA) systems. The optimization problem of energy efficiency is a non-convex optimization problem, and the fractional programming is used to transform the original problem into a series of optimization sub-problems. A two-layer iterative algorithm is proposed to solve these sub-problems, in which power allocation with the fixed energy efficiency is achieved in the inner layer, and the optimal energy efficiency of the system is obtained by the bisection method in the outer layer. Simulation results show the effectiveness of the proposed algorithm.},
keywords={},
doi={10.1587/transfun.E101.A.734},
ISSN={1745-1337},
month={April},}
Copy
TY - JOUR
TI - Energy-Efficient Power Allocation with Rate Proportional Fairness Constraint in Non-Orthogonal Multiple Access Systems
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 734
EP - 737
AU - Zheng-qiang WANG
AU - Chen-chen WEN
AU - Zi-fu FAN
AU - Xiao-yu WAN
PY - 2018
DO - 10.1587/transfun.E101.A.734
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E101-A
IS - 4
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - April 2018
AB - In this letter, we consider the power allocation scheme with rate proportional fairness to maximize energy efficiency in the downlink the non-orthogonal multiple access (NOMA) systems. The optimization problem of energy efficiency is a non-convex optimization problem, and the fractional programming is used to transform the original problem into a series of optimization sub-problems. A two-layer iterative algorithm is proposed to solve these sub-problems, in which power allocation with the fixed energy efficiency is achieved in the inner layer, and the optimal energy efficiency of the system is obtained by the bisection method in the outer layer. Simulation results show the effectiveness of the proposed algorithm.
ER -
English
