User Fairness in Wireless Powered Communication Networks with Non-Orthogonal Multiple Access

Jair A. De Carvalho; Daniel B. Da Costa; L. Yang; George C. Alexandropoulos; R. Oliveira; Ugo S. DIas

doi:10.1109/LWC.2020.3030818

User Fairness in Wireless Powered Communication Networks with Non-Orthogonal Multiple Access

Jair A. De Carvalho
, Daniel B. Da Costa^*
, L. Yang
, George C. Alexandropoulos
, R. Oliveira
, Ugo S. DIas

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

14 Scopus citations

Abstract

This letter investigates user fairness in wireless powered communication networks (WPCNs) with non-orthogonal multiple access (NOMA) with the aim of maximizing the equal individual data rates. Initially, it is proposed the bisection method to obtain the optimal power allocation coefficients. Then, Lagrange dual-decomposition is considered for evaluating the optimal time-splitting ratio. Next, Newton's method combined with the sub-gradient method are employed to achieve the optimal solution. In addition, two sub-optimal solutions that provide a good balance between performance and complexity are proposed. Lastly, simulation results are presented to evaluate the performance of the proposed solutions.

Original language	English
Article number	9222214
Pages (from-to)	189-193
Number of pages	5
Journal	IEEE Wireless Communications Letters
Volume	10
Issue number	1
DOIs	https://doi.org/10.1109/LWC.2020.3030818
State	Published - Jan 2021
Externally published	Yes

Bibliographical note

Publisher Copyright:
© 2012 IEEE.

Keywords

NOMA
WPCNs
optimization
user fairness

ASJC Scopus subject areas

Control and Systems Engineering
Electrical and Electronic Engineering

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Cite this

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title = "User Fairness in Wireless Powered Communication Networks with Non-Orthogonal Multiple Access",

abstract = "This letter investigates user fairness in wireless powered communication networks (WPCNs) with non-orthogonal multiple access (NOMA) with the aim of maximizing the equal individual data rates. Initially, it is proposed the bisection method to obtain the optimal power allocation coefficients. Then, Lagrange dual-decomposition is considered for evaluating the optimal time-splitting ratio. Next, Newton's method combined with the sub-gradient method are employed to achieve the optimal solution. In addition, two sub-optimal solutions that provide a good balance between performance and complexity are proposed. Lastly, simulation results are presented to evaluate the performance of the proposed solutions.",

keywords = "NOMA, WPCNs, optimization, user fairness",

author = "\{De Carvalho\}, \{Jair A.\} and \{Da Costa\}, \{Daniel B.\} and L. Yang and Alexandropoulos, \{George C.\} and R. Oliveira and DIas, \{Ugo S.\}",

note = "Publisher Copyright: {\textcopyright} 2012 IEEE.",

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AU - Da Costa, Daniel B.

AU - Yang, L.

AU - Alexandropoulos, George C.

AU - Oliveira, R.

AU - DIas, Ugo S.

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AB - This letter investigates user fairness in wireless powered communication networks (WPCNs) with non-orthogonal multiple access (NOMA) with the aim of maximizing the equal individual data rates. Initially, it is proposed the bisection method to obtain the optimal power allocation coefficients. Then, Lagrange dual-decomposition is considered for evaluating the optimal time-splitting ratio. Next, Newton's method combined with the sub-gradient method are employed to achieve the optimal solution. In addition, two sub-optimal solutions that provide a good balance between performance and complexity are proposed. Lastly, simulation results are presented to evaluate the performance of the proposed solutions.

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KW - optimization

KW - user fairness

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ER -

User Fairness in Wireless Powered Communication Networks with Non-Orthogonal Multiple Access

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

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