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
Cet article étudie le problème de maximisation du débit de somme (SR) pour les systèmes coopératifs à accès multiple non orthogonal (C-NOMA) en liaison descendante avec des déficiences matérielles (HI). Le nœud source communique avec les utilisateurs via un relais semi-duplex amplifié et transmis (HD-AF) avec HI. Tout d’abord, nous dérivons l’expression SR des systèmes sous HI. Ensuite, le problème de maximisation SR est formulé sous la puissance maximale de la source, du relais et la contrainte de débit minimum de chaque utilisateur. Comme le problème original de maximisation SR est un problème non convexe, il est difficile de trouver l’allocation optimale des ressources directement par la méthode d’optimisation tractionnelle convexe. Nous utilisons la méthode de substitution de variables pour convertir le problème de maximisation SR non convexe en un problème d'optimisation convexe équivalent. Enfin, une allocation conjointe de puissance et de débit basée sur la méthode des points intérieurs est proposée pour maximiser le SR des systèmes. Les résultats de la simulation montrent que l'algorithme peut améliorer le SR du C-NOMA par rapport au schéma coopératif à accès multiple orthogonal (C-OMA).
Xiao-yu WAN
Chongqing University of Posts and Telecommunications
Rui-fei CHANG
Chongqing University of Posts and Telecommunications
Zheng-qiang WANG
Chongqing University of Posts and Telecommunications
Zi-fu FAN
Chongqing University of Posts and Telecommunications
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Xiao-yu WAN, Rui-fei CHANG, Zheng-qiang WANG, Zi-fu FAN, "Sum Rate Maximization for Cooperative NOMA with Hardware Impairments" in IEICE TRANSACTIONS on Information,
vol. E104-D, no. 9, pp. 1399-1405, September 2021, doi: 10.1587/transinf.2020EDP7204.
Abstract: This paper investigates the sum rate (SR) maximization problem for downlink cooperative non-orthogonal multiple access (C-NOMA) systems with hardware impairments (HIs). The source node communicates with users via a half-duplex amplified-and-forward (HD-AF) relay with HIs. First, we derive the SR expression of the systems under HIs. Then, SR maximization problem is formulated under maximum power of the source, relay, and the minimum rate constraint of each user. As the original SR maximization problem is a non-convex problem, it is difficult to find the optimal resource allocation directly by tractional convex optimization method. We use variable substitution method to convert the non-convex SR maximization problem to an equivalent convex optimization problem. Finally, a joint power and rate allocation based on interior point method is proposed to maximize the SR of the systems. Simulation results show that the algorithm can improve the SR of the C-NOMA compared with the cooperative orthogonal multiple access (C-OMA) scheme.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2020EDP7204/_p
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@ARTICLE{e104-d_9_1399,
author={Xiao-yu WAN, Rui-fei CHANG, Zheng-qiang WANG, Zi-fu FAN, },
journal={IEICE TRANSACTIONS on Information},
title={Sum Rate Maximization for Cooperative NOMA with Hardware Impairments},
year={2021},
volume={E104-D},
number={9},
pages={1399-1405},
abstract={This paper investigates the sum rate (SR) maximization problem for downlink cooperative non-orthogonal multiple access (C-NOMA) systems with hardware impairments (HIs). The source node communicates with users via a half-duplex amplified-and-forward (HD-AF) relay with HIs. First, we derive the SR expression of the systems under HIs. Then, SR maximization problem is formulated under maximum power of the source, relay, and the minimum rate constraint of each user. As the original SR maximization problem is a non-convex problem, it is difficult to find the optimal resource allocation directly by tractional convex optimization method. We use variable substitution method to convert the non-convex SR maximization problem to an equivalent convex optimization problem. Finally, a joint power and rate allocation based on interior point method is proposed to maximize the SR of the systems. Simulation results show that the algorithm can improve the SR of the C-NOMA compared with the cooperative orthogonal multiple access (C-OMA) scheme.},
keywords={},
doi={10.1587/transinf.2020EDP7204},
ISSN={1745-1361},
month={September},}
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TY - JOUR
TI - Sum Rate Maximization for Cooperative NOMA with Hardware Impairments
T2 - IEICE TRANSACTIONS on Information
SP - 1399
EP - 1405
AU - Xiao-yu WAN
AU - Rui-fei CHANG
AU - Zheng-qiang WANG
AU - Zi-fu FAN
PY - 2021
DO - 10.1587/transinf.2020EDP7204
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E104-D
IS - 9
JA - IEICE TRANSACTIONS on Information
Y1 - September 2021
AB - This paper investigates the sum rate (SR) maximization problem for downlink cooperative non-orthogonal multiple access (C-NOMA) systems with hardware impairments (HIs). The source node communicates with users via a half-duplex amplified-and-forward (HD-AF) relay with HIs. First, we derive the SR expression of the systems under HIs. Then, SR maximization problem is formulated under maximum power of the source, relay, and the minimum rate constraint of each user. As the original SR maximization problem is a non-convex problem, it is difficult to find the optimal resource allocation directly by tractional convex optimization method. We use variable substitution method to convert the non-convex SR maximization problem to an equivalent convex optimization problem. Finally, a joint power and rate allocation based on interior point method is proposed to maximize the SR of the systems. Simulation results show that the algorithm can improve the SR of the C-NOMA compared with the cooperative orthogonal multiple access (C-OMA) scheme.
ER -