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Energy-Efficiency Maximization for D2D-Enabled UAV-Aided 5G Networks. / Huq, Kazi Mohammed Saidul; Rodriguez, Jonathan; Otung, Ifiok; Zhou, Zhenyu ; Chandra, Kishor ; Mumtaz, Shahid.

2020 IEEE International Conference on Communications, ICC 2020 - Proceedings. Dublin, Ireland : Institute of Electrical and Electronics Engineers, 2020. p. 1-6 9149150 (IEEE International Conference on Communications; Vol. 2020-June).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Harvard

Huq, KMS, Rodriguez, J, Otung, I, Zhou, Z, Chandra, K & Mumtaz, S 2020, Energy-Efficiency Maximization for D2D-Enabled UAV-Aided 5G Networks. in 2020 IEEE International Conference on Communications, ICC 2020 - Proceedings., 9149150, IEEE International Conference on Communications, vol. 2020-June, Institute of Electrical and Electronics Engineers, Dublin, Ireland, pp. 1-6, 2020 IEEE International Conference on Communications, Dublin, Ireland, 7/06/20. https://doi.org/10.1109/ICC40277.2020.9149150

APA

Huq, K. M. S., Rodriguez, J., Otung, I., Zhou, Z., Chandra, K., & Mumtaz, S. (2020). Energy-Efficiency Maximization for D2D-Enabled UAV-Aided 5G Networks. In 2020 IEEE International Conference on Communications, ICC 2020 - Proceedings (pp. 1-6). [9149150] (IEEE International Conference on Communications; Vol. 2020-June). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICC40277.2020.9149150

Vancouver

Huq KMS, Rodriguez J, Otung I, Zhou Z, Chandra K, Mumtaz S. Energy-Efficiency Maximization for D2D-Enabled UAV-Aided 5G Networks. In 2020 IEEE International Conference on Communications, ICC 2020 - Proceedings. Dublin, Ireland: Institute of Electrical and Electronics Engineers. 2020. p. 1-6. 9149150. (IEEE International Conference on Communications). https://doi.org/10.1109/ICC40277.2020.9149150

Author

Huq, Kazi Mohammed Saidul ; Rodriguez, Jonathan ; Otung, Ifiok ; Zhou, Zhenyu ; Chandra, Kishor ; Mumtaz, Shahid. / Energy-Efficiency Maximization for D2D-Enabled UAV-Aided 5G Networks. 2020 IEEE International Conference on Communications, ICC 2020 - Proceedings. Dublin, Ireland : Institute of Electrical and Electronics Engineers, 2020. pp. 1-6 (IEEE International Conference on Communications).

BibTeX

@inproceedings{d792a3202ca54240bb8cd986110c6e1e,
title = "Energy-Efficiency Maximization for D2D-Enabled UAV-Aided 5G Networks",
abstract = "Reliable and flexible emergency communication is a crucial challenge for search and rescue in the circumstance of disasters, specifically for the situation when base stations (BS) are no longer functioning. Unmanned aerial vehicle (UAV)aided networking is becoming a prominent solution to establish emergency networks with the underlay device-to-device (D2D), which also should be energy-efficient. In this article, we study energy-efficiency (EE) maximization for interference-aware underlay D2D-enabled UAV-aided 5G systems. All the interference scenarios are taken into account while modeling the system architecture. Afterward, we formulate an objective function to optimize EE maximization, which shows the characteristic of an NP-hard nonconvex research problem. Therefore, we transform the nonconvex problem into a convex one by reformulating the constraint functions with the cubic inequality method. Several criteria are developed to satisfy the non-negativity of the reformulating constraint. This leads the problem to be solved as a convex optimization method and results in an efficient iterative resource allocation algorithm. In each iteration, the transformed problem is solved by using Lagrangian dual decomposition with a projected gradient method. In the end, we analyze the convergence behavior of the studied algorithm and also compared it with another existing algorithm through numerical simulations.",
keywords = "5G, D2D, Energy-Efficiency, Optimization, UAV",
author = "Huq, {Kazi Mohammed Saidul} and Jonathan Rodriguez and Ifiok Otung and Zhenyu Zhou and Kishor Chandra and Shahid Mumtaz",
year = "2020",
month = jul,
day = "27",
doi = "10.1109/ICC40277.2020.9149150",
language = "English",
isbn = "978-1-7281-5090-1",
series = "IEEE International Conference on Communications",
publisher = "Institute of Electrical and Electronics Engineers",
pages = "1--6",
booktitle = "2020 IEEE International Conference on Communications, ICC 2020 - Proceedings",
note = "2020 IEEE International Conference on Communications, IEEE ICC 2020 ; Conference date: 07-06-2020 Through 11-06-2020",

}

RIS

TY - GEN

T1 - Energy-Efficiency Maximization for D2D-Enabled UAV-Aided 5G Networks

AU - Huq, Kazi Mohammed Saidul

AU - Rodriguez, Jonathan

AU - Otung, Ifiok

AU - Zhou, Zhenyu

AU - Chandra, Kishor

AU - Mumtaz, Shahid

PY - 2020/7/27

Y1 - 2020/7/27

N2 - Reliable and flexible emergency communication is a crucial challenge for search and rescue in the circumstance of disasters, specifically for the situation when base stations (BS) are no longer functioning. Unmanned aerial vehicle (UAV)aided networking is becoming a prominent solution to establish emergency networks with the underlay device-to-device (D2D), which also should be energy-efficient. In this article, we study energy-efficiency (EE) maximization for interference-aware underlay D2D-enabled UAV-aided 5G systems. All the interference scenarios are taken into account while modeling the system architecture. Afterward, we formulate an objective function to optimize EE maximization, which shows the characteristic of an NP-hard nonconvex research problem. Therefore, we transform the nonconvex problem into a convex one by reformulating the constraint functions with the cubic inequality method. Several criteria are developed to satisfy the non-negativity of the reformulating constraint. This leads the problem to be solved as a convex optimization method and results in an efficient iterative resource allocation algorithm. In each iteration, the transformed problem is solved by using Lagrangian dual decomposition with a projected gradient method. In the end, we analyze the convergence behavior of the studied algorithm and also compared it with another existing algorithm through numerical simulations.

AB - Reliable and flexible emergency communication is a crucial challenge for search and rescue in the circumstance of disasters, specifically for the situation when base stations (BS) are no longer functioning. Unmanned aerial vehicle (UAV)aided networking is becoming a prominent solution to establish emergency networks with the underlay device-to-device (D2D), which also should be energy-efficient. In this article, we study energy-efficiency (EE) maximization for interference-aware underlay D2D-enabled UAV-aided 5G systems. All the interference scenarios are taken into account while modeling the system architecture. Afterward, we formulate an objective function to optimize EE maximization, which shows the characteristic of an NP-hard nonconvex research problem. Therefore, we transform the nonconvex problem into a convex one by reformulating the constraint functions with the cubic inequality method. Several criteria are developed to satisfy the non-negativity of the reformulating constraint. This leads the problem to be solved as a convex optimization method and results in an efficient iterative resource allocation algorithm. In each iteration, the transformed problem is solved by using Lagrangian dual decomposition with a projected gradient method. In the end, we analyze the convergence behavior of the studied algorithm and also compared it with another existing algorithm through numerical simulations.

KW - 5G

KW - D2D

KW - Energy-Efficiency

KW - Optimization

KW - UAV

U2 - 10.1109/ICC40277.2020.9149150

DO - 10.1109/ICC40277.2020.9149150

M3 - Conference contribution

SN - 978-1-7281-5090-1

T3 - IEEE International Conference on Communications

SP - 1

EP - 6

BT - 2020 IEEE International Conference on Communications, ICC 2020 - Proceedings

PB - Institute of Electrical and Electronics Engineers

CY - Dublin, Ireland

T2 - 2020 IEEE International Conference on Communications

Y2 - 7 June 2020 through 11 June 2020

ER -

ID: 4081634