The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
이 편지에서 우리는 기지국(BS)이 사용자의 전력 가격을 책정하여 전송을 허용할 수 있는 비직교 다중 접속(NOMA) 네트워크에 대한 가격 기반 전력 할당을 조사합니다. Stackelberg 게임은 BS와 사용자 간의 가격 책정 및 전력 구매 전략을 모델링하는 데 활용됩니다. 역방향 귀납법을 기반으로 BS의 가격 문제는 비볼록 전력 할당 문제로 재구성되는데, 이는 변수 대체에 의한 속도 할당 문제와 동일합니다. 등가 문제를 기반으로 기지국의 수익을 극대화하기 위한 최적의 가격 기반 전력 할당 알고리즘을 제안한다. 시뮬레이션 결과, 제안하는 알고리즘이 BS의 수익 및 허용 사용자 수 항목에서 기존 가격 책정 알고리즘보다 우수한 것으로 나타났습니다.
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
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부
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
부
@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},}
부
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 -