IEICE TRANSACTIONS on Information
Optimal Price-Based Power Allocation Algorithm with Quality of Service Constraints in Non-Orthogonal Multiple Access Networks
Summary :
In this letter, we investigate the price-based power allocation for non-orthogonal multiple access (NOMA) networks, where the base station (BS) can admit the users to transmit by pricing their power. Stackelberg game is utilized to model the pricing and power purchasing strategies between the BS and the users. Based on backward induction, the pricing problem of the BS is recast into the non-convex power allocation problem, which is equivalent to the rate allocation problem by variable replacement. Based on the equivalence problem, an optimal price-based power allocation algorithm is proposed to maximize the revenue of the BS. Simulation results show that the proposed algorithm is superior to the existing pricing algorithm in items of the revenue of BS and the number of admitted users.
- Publication
- IEICE TRANSACTIONS on Information Vol.E102-D No.11 pp.2257-2260
- Publication Date
- 2019/11/01
- Publicized
- 2019/07/29
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.2019EDL8082
- Type of Manuscript
- LETTER
- Category
- Information Network
Authors
Zheng-qiang WANG
Chongqing University of Posts and Telecommunications
Kun-hao HUANG
Chongqing University of Posts and Telecommunications
Xiao-yu WAN
Chongqing University of Posts and Telecommunications
Zi-fu FAN
Chongqing University of Posts and Telecommunications
Keyword
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Zheng-qiang WANG, Kun-hao HUANG, Xiao-yu WAN, Zi-fu FAN, "Optimal Price-Based Power Allocation Algorithm with Quality of Service Constraints in Non-Orthogonal Multiple Access Networks" in IEICE TRANSACTIONS on Information,
vol. E102-D, no. 11, pp. 2257-2260, November 2019, doi: 10.1587/transinf.2019EDL8082.
Abstract: In this letter, we investigate the price-based power allocation for non-orthogonal multiple access (NOMA) networks, where the base station (BS) can admit the users to transmit by pricing their power. Stackelberg game is utilized to model the pricing and power purchasing strategies between the BS and the users. Based on backward induction, the pricing problem of the BS is recast into the non-convex power allocation problem, which is equivalent to the rate allocation problem by variable replacement. Based on the equivalence problem, an optimal price-based power allocation algorithm is proposed to maximize the revenue of the BS. Simulation results show that the proposed algorithm is superior to the existing pricing algorithm in items of the revenue of BS and the number of admitted users.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2019EDL8082/_p
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@ARTICLE{e102-d_11_2257,
author={Zheng-qiang WANG, Kun-hao HUANG, Xiao-yu WAN, Zi-fu FAN, },
journal={IEICE TRANSACTIONS on Information},
title={Optimal Price-Based Power Allocation Algorithm with Quality of Service Constraints in Non-Orthogonal Multiple Access Networks},
year={2019},
volume={E102-D},
number={11},
pages={2257-2260},
abstract={In this letter, we investigate the price-based power allocation for non-orthogonal multiple access (NOMA) networks, where the base station (BS) can admit the users to transmit by pricing their power. Stackelberg game is utilized to model the pricing and power purchasing strategies between the BS and the users. Based on backward induction, the pricing problem of the BS is recast into the non-convex power allocation problem, which is equivalent to the rate allocation problem by variable replacement. Based on the equivalence problem, an optimal price-based power allocation algorithm is proposed to maximize the revenue of the BS. Simulation results show that the proposed algorithm is superior to the existing pricing algorithm in items of the revenue of BS and the number of admitted users.},
keywords={},
doi={10.1587/transinf.2019EDL8082},
ISSN={1745-1361},
month={November},}
Copy
TY - JOUR
TI - Optimal Price-Based Power Allocation Algorithm with Quality of Service Constraints in Non-Orthogonal Multiple Access Networks
T2 - IEICE TRANSACTIONS on Information
SP - 2257
EP - 2260
AU - Zheng-qiang WANG
AU - Kun-hao HUANG
AU - Xiao-yu WAN
AU - Zi-fu FAN
PY - 2019
DO - 10.1587/transinf.2019EDL8082
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E102-D
IS - 11
JA - IEICE TRANSACTIONS on Information
Y1 - November 2019
AB - In this letter, we investigate the price-based power allocation for non-orthogonal multiple access (NOMA) networks, where the base station (BS) can admit the users to transmit by pricing their power. Stackelberg game is utilized to model the pricing and power purchasing strategies between the BS and the users. Based on backward induction, the pricing problem of the BS is recast into the non-convex power allocation problem, which is equivalent to the rate allocation problem by variable replacement. Based on the equivalence problem, an optimal price-based power allocation algorithm is proposed to maximize the revenue of the BS. Simulation results show that the proposed algorithm is superior to the existing pricing algorithm in items of the revenue of BS and the number of admitted users.
ER -
English
