IEICE TRANSACTIONS on Information
Sum Rate Maximization for Cooperative NOMA with Hardware Impairments
Summary :
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.
- Publication
- IEICE TRANSACTIONS on Information Vol.E104-D No.9 pp.1399-1405
- Publication Date
- 2021/09/01
- Publicized
- 2021/05/28
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.2020EDP7204
- Type of Manuscript
- PAPER
- Category
- Fundamentals of Information Systems
Authors
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
Keyword
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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},}
Copy
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 -
English
