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".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Nesta carta, investigamos a alocação de energia baseada em preços para redes de acesso múltiplo não ortogonal (NOMA), onde a estação base (BS) pode admitir que os usuários transmitam ao precificar sua energia. O jogo Stackelberg é utilizado para modelar as estratégias de preços e compra de poder entre o BS e os usuários. Com base na indução retroativa, o problema de precificação do BS é reformulado no problema de alocação de energia não convexo, que é equivalente ao problema de alocação de taxas por substituição de variáveis. Com base no problema de equivalência, é proposto um algoritmo de alocação de energia baseado em preço ótimo para maximizar a receita da BS. Os resultados da simulação mostram que o algoritmo proposto é superior ao algoritmo de precificação existente nos itens da receita do BS e no número de usuários admitidos.
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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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},}
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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 -