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Interference-aware energy efficiency maximization in 5G ultra-dense networks

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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Interference-aware energy efficiency maximization in 5G ultra-dense networks. / Yang, Chungang; Li, Jiandong; Ni, Qiang et al.
In: IEEE Transactions on Communications, Vol. 65, No. 2, 02.2017, p. 728-739.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Yang, C, Li, J, Ni, Q, Anpalagan, A & Guizani, M 2017, 'Interference-aware energy efficiency maximization in 5G ultra-dense networks', IEEE Transactions on Communications, vol. 65, no. 2, pp. 728-739. https://doi.org/10.1109/TCOMM.2016.2638906

APA

Yang, C., Li, J., Ni, Q., Anpalagan, A., & Guizani, M. (2017). Interference-aware energy efficiency maximization in 5G ultra-dense networks. IEEE Transactions on Communications, 65(2), 728-739. https://doi.org/10.1109/TCOMM.2016.2638906

Vancouver

Yang C, Li J, Ni Q, Anpalagan A, Guizani M. Interference-aware energy efficiency maximization in 5G ultra-dense networks. IEEE Transactions on Communications. 2017 Feb;65(2):728-739. Epub 2016 Dec 13. doi: 10.1109/TCOMM.2016.2638906

Author

Yang, Chungang ; Li, Jiandong ; Ni, Qiang et al. / Interference-aware energy efficiency maximization in 5G ultra-dense networks. In: IEEE Transactions on Communications. 2017 ; Vol. 65, No. 2. pp. 728-739.

Bibtex

@article{24a1899f4cc54a5eb81af92d492123f7,
title = "Interference-aware energy efficiency maximization in 5G ultra-dense networks",
abstract = "Ultra-dense networks can further improve the spectrum efficiency (SE) and the energy efficiency (EE). However, the interference avoidance and the green design are becoming more complex due to the intrinsic densification and scalability. It is known that the much denser small cells are deployed, the more cooperation opportunities exist among them. In this work, we characterize the cooperative behaviors in the Nash bargaining cooperative game-theoretic framework, where we maximize the EE performance with a certain sacrifice of SE performance. We first analyze the relationship between the EE and the SE, based on which we formulate the Nash-product EE maximization problem.We achieve the closed-form sub-optimal SE equilibria to maximize the EE performance with and without the minimum SE constraints. We finally propose a CE2MG algorithm, and numerical results verify the improved EE and fairness of the presented CE2MG algorithm compared with the non-cooperative scheme.",
author = "Chungang Yang and Jiandong Li and Qiang Ni and Alagan Anpalagan and Mohsen Guizani",
note = "{\textcopyright}2017 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 = "2017",
month = feb,
doi = "10.1109/TCOMM.2016.2638906",
language = "English",
volume = "65",
pages = "728--739",
journal = "IEEE Transactions on Communications",
issn = "0090-6778",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "2",

}

RIS

TY - JOUR

T1 - Interference-aware energy efficiency maximization in 5G ultra-dense networks

AU - Yang, Chungang

AU - Li, Jiandong

AU - Ni, Qiang

AU - Anpalagan, Alagan

AU - Guizani, Mohsen

N1 - ©2017 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 - 2017/2

Y1 - 2017/2

N2 - Ultra-dense networks can further improve the spectrum efficiency (SE) and the energy efficiency (EE). However, the interference avoidance and the green design are becoming more complex due to the intrinsic densification and scalability. It is known that the much denser small cells are deployed, the more cooperation opportunities exist among them. In this work, we characterize the cooperative behaviors in the Nash bargaining cooperative game-theoretic framework, where we maximize the EE performance with a certain sacrifice of SE performance. We first analyze the relationship between the EE and the SE, based on which we formulate the Nash-product EE maximization problem.We achieve the closed-form sub-optimal SE equilibria to maximize the EE performance with and without the minimum SE constraints. We finally propose a CE2MG algorithm, and numerical results verify the improved EE and fairness of the presented CE2MG algorithm compared with the non-cooperative scheme.

AB - Ultra-dense networks can further improve the spectrum efficiency (SE) and the energy efficiency (EE). However, the interference avoidance and the green design are becoming more complex due to the intrinsic densification and scalability. It is known that the much denser small cells are deployed, the more cooperation opportunities exist among them. In this work, we characterize the cooperative behaviors in the Nash bargaining cooperative game-theoretic framework, where we maximize the EE performance with a certain sacrifice of SE performance. We first analyze the relationship between the EE and the SE, based on which we formulate the Nash-product EE maximization problem.We achieve the closed-form sub-optimal SE equilibria to maximize the EE performance with and without the minimum SE constraints. We finally propose a CE2MG algorithm, and numerical results verify the improved EE and fairness of the presented CE2MG algorithm compared with the non-cooperative scheme.

U2 - 10.1109/TCOMM.2016.2638906

DO - 10.1109/TCOMM.2016.2638906

M3 - Journal article

VL - 65

SP - 728

EP - 739

JO - IEEE Transactions on Communications

JF - IEEE Transactions on Communications

SN - 0090-6778

IS - 2

ER -