IEICE TRANSACTIONS on Fundamentals
Price-Based Power Allocation with Rate Proportional Fairness Constraint in Downlink Non-Orthogonal Multiple Access Systems
Summary :
In this letter, we investigate the price-based power allocation with rate proportional fairness constraint in downlink non-orthogonal multiple access (NOMA) systems. The Stackelberg game is utilized to model the interaction between the base station (BS) and users. The revenue maximization problem of the BS is first converted to rate allocation problem, then the optimal rate allocation for each user is obtained by variable substitution. Finally, a price-based power allocation with rate proportional fairness (PAPF) algorithm is proposed based on the relationship between rate and transmit power. Simulation results show that the proposed PAPF algorithm is superior to the previous price-based power allocation algorithm in terms of fairness index and minimum normalized user (MNU) rate.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E100-A No.11 pp.2543-2546
- Publication Date
- 2017/11/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E100.A.2543
- Type of Manuscript
- LETTER
- Category
- Communication Theory and Signals
Authors
Zi-fu FAN
Chongqing University of Posts and Telecommunications
Chen-chen WEN
Chongqing University of Posts and Telecommunications
Zheng-qiang WANG
Chongqing University of Posts and Telecommunications
Xiao-yu WAN
Chongqing University of Posts and Telecommunications
Keyword
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Zi-fu FAN, Chen-chen WEN, Zheng-qiang WANG, Xiao-yu WAN, "Price-Based Power Allocation with Rate Proportional Fairness Constraint in Downlink Non-Orthogonal Multiple Access Systems" in IEICE TRANSACTIONS on Fundamentals,
vol. E100-A, no. 11, pp. 2543-2546, November 2017, doi: 10.1587/transfun.E100.A.2543.
Abstract: In this letter, we investigate the price-based power allocation with rate proportional fairness constraint in downlink non-orthogonal multiple access (NOMA) systems. The Stackelberg game is utilized to model the interaction between the base station (BS) and users. The revenue maximization problem of the BS is first converted to rate allocation problem, then the optimal rate allocation for each user is obtained by variable substitution. Finally, a price-based power allocation with rate proportional fairness (PAPF) algorithm is proposed based on the relationship between rate and transmit power. Simulation results show that the proposed PAPF algorithm is superior to the previous price-based power allocation algorithm in terms of fairness index and minimum normalized user (MNU) rate.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E100.A.2543/_p
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@ARTICLE{e100-a_11_2543,
author={Zi-fu FAN, Chen-chen WEN, Zheng-qiang WANG, Xiao-yu WAN, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Price-Based Power Allocation with Rate Proportional Fairness Constraint in Downlink Non-Orthogonal Multiple Access Systems},
year={2017},
volume={E100-A},
number={11},
pages={2543-2546},
abstract={In this letter, we investigate the price-based power allocation with rate proportional fairness constraint in downlink non-orthogonal multiple access (NOMA) systems. The Stackelberg game is utilized to model the interaction between the base station (BS) and users. The revenue maximization problem of the BS is first converted to rate allocation problem, then the optimal rate allocation for each user is obtained by variable substitution. Finally, a price-based power allocation with rate proportional fairness (PAPF) algorithm is proposed based on the relationship between rate and transmit power. Simulation results show that the proposed PAPF algorithm is superior to the previous price-based power allocation algorithm in terms of fairness index and minimum normalized user (MNU) rate.},
keywords={},
doi={10.1587/transfun.E100.A.2543},
ISSN={1745-1337},
month={November},}
Copy
TY - JOUR
TI - Price-Based Power Allocation with Rate Proportional Fairness Constraint in Downlink Non-Orthogonal Multiple Access Systems
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2543
EP - 2546
AU - Zi-fu FAN
AU - Chen-chen WEN
AU - Zheng-qiang WANG
AU - Xiao-yu WAN
PY - 2017
DO - 10.1587/transfun.E100.A.2543
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E100-A
IS - 11
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - November 2017
AB - In this letter, we investigate the price-based power allocation with rate proportional fairness constraint in downlink non-orthogonal multiple access (NOMA) systems. The Stackelberg game is utilized to model the interaction between the base station (BS) and users. The revenue maximization problem of the BS is first converted to rate allocation problem, then the optimal rate allocation for each user is obtained by variable substitution. Finally, a price-based power allocation with rate proportional fairness (PAPF) algorithm is proposed based on the relationship between rate and transmit power. Simulation results show that the proposed PAPF algorithm is superior to the previous price-based power allocation algorithm in terms of fairness index and minimum normalized user (MNU) rate.
ER -
English
