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Energy Efficient Resource Allocation in Hybrid Non-Orthogonal Multiple Access Systems

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Energy Efficient Resource Allocation in Hybrid Non-Orthogonal Multiple Access Systems. / Shi, Jia; Yu, Wenjuan; Ni, Qiang; Liang, Wei; Li, Zan; Xiao, Pei.

In: IEEE Transactions on Communications, Vol. 67, No. 5, 01.05.2019, p. 3496-3511.

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Shi, Jia ; Yu, Wenjuan ; Ni, Qiang ; Liang, Wei ; Li, Zan ; Xiao, Pei. / Energy Efficient Resource Allocation in Hybrid Non-Orthogonal Multiple Access Systems. In: IEEE Transactions on Communications. 2019 ; Vol. 67, No. 5. pp. 3496-3511.

Bibtex

@article{68115f3391d94471a38e7cffb9ad465d,
title = "Energy Efficient Resource Allocation in Hybrid Non-Orthogonal Multiple Access Systems",
abstract = "By blending the concepts of non-orthogonal multiple access (NOMA) and orthogonal frequency division multiplexing (OFDM), in this paper a novel hybrid scheme is conceived for supporting diverse services in future wireless systems. Motivating to maximize energy efficiency (EE), the joint resource management of user clustering (UC) and power allocation is investigated for the downlink hybrid NOMA systems. Under two different power consumption cases, the optimal resource allocation (Opt-RA) algorithm is developed with the help of converting the original mixed integer non-linear programming (MINLP) problem to the tractable decoupled problems. For practical implementation, the heuristic resource allocation (HeurRA) algorithm is also proposed, in which including a low-complexity UC algorithm based on the candidate search-and-allocation approach. Our simulation results show that, both the Opt-RA and Heur-RA algorithms achieve significantly higher EE performance than other existing algorithms. Further, the results also prove that, the hybrid NOMA conceived is able to exploit the advantages of NOMA scheme, and is superior to conventional orthogonal multiple access (OMA) in terms of EE, as well as achieving higher flexibility for system configuration than NOMA.",
author = "Jia Shi and Wenjuan Yu and Qiang Ni and Wei Liang and Zan Li and Pei Xiao",
note = "{\circledC}2019 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.",
year = "2019",
month = "5",
day = "1",
doi = "10.1109/TCOMM.2019.2893304",
language = "English",
volume = "67",
pages = "3496--3511",
journal = "IEEE Transactions on Communications",
issn = "0090-6778",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "5",

}

RIS

TY - JOUR

T1 - Energy Efficient Resource Allocation in Hybrid Non-Orthogonal Multiple Access Systems

AU - Shi, Jia

AU - Yu, Wenjuan

AU - Ni, Qiang

AU - Liang, Wei

AU - Li, Zan

AU - Xiao, Pei

N1 - ©2019 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

PY - 2019/5/1

Y1 - 2019/5/1

N2 - By blending the concepts of non-orthogonal multiple access (NOMA) and orthogonal frequency division multiplexing (OFDM), in this paper a novel hybrid scheme is conceived for supporting diverse services in future wireless systems. Motivating to maximize energy efficiency (EE), the joint resource management of user clustering (UC) and power allocation is investigated for the downlink hybrid NOMA systems. Under two different power consumption cases, the optimal resource allocation (Opt-RA) algorithm is developed with the help of converting the original mixed integer non-linear programming (MINLP) problem to the tractable decoupled problems. For practical implementation, the heuristic resource allocation (HeurRA) algorithm is also proposed, in which including a low-complexity UC algorithm based on the candidate search-and-allocation approach. Our simulation results show that, both the Opt-RA and Heur-RA algorithms achieve significantly higher EE performance than other existing algorithms. Further, the results also prove that, the hybrid NOMA conceived is able to exploit the advantages of NOMA scheme, and is superior to conventional orthogonal multiple access (OMA) in terms of EE, as well as achieving higher flexibility for system configuration than NOMA.

AB - By blending the concepts of non-orthogonal multiple access (NOMA) and orthogonal frequency division multiplexing (OFDM), in this paper a novel hybrid scheme is conceived for supporting diverse services in future wireless systems. Motivating to maximize energy efficiency (EE), the joint resource management of user clustering (UC) and power allocation is investigated for the downlink hybrid NOMA systems. Under two different power consumption cases, the optimal resource allocation (Opt-RA) algorithm is developed with the help of converting the original mixed integer non-linear programming (MINLP) problem to the tractable decoupled problems. For practical implementation, the heuristic resource allocation (HeurRA) algorithm is also proposed, in which including a low-complexity UC algorithm based on the candidate search-and-allocation approach. Our simulation results show that, both the Opt-RA and Heur-RA algorithms achieve significantly higher EE performance than other existing algorithms. Further, the results also prove that, the hybrid NOMA conceived is able to exploit the advantages of NOMA scheme, and is superior to conventional orthogonal multiple access (OMA) in terms of EE, as well as achieving higher flexibility for system configuration than NOMA.

U2 - 10.1109/TCOMM.2019.2893304

DO - 10.1109/TCOMM.2019.2893304

M3 - Journal article

VL - 67

SP - 3496

EP - 3511

JO - IEEE Transactions on Communications

JF - IEEE Transactions on Communications

SN - 0090-6778

IS - 5

ER -