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Joint rate control and power allocation for low-latency reliable D2D-based relay network

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Joint rate control and power allocation for low-latency reliable D2D-based relay network. / Wang, Y.; He, Y.; Xu, C.; Zhou, Z.; Mumtaz, S.; Rodriguez, J.; Pervaiz, H.

In: EURASIP Journal on Wireless Communications and Networking, Vol. 2019, No. 1, 111, 02.05.2019.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Wang, Y, He, Y, Xu, C, Zhou, Z, Mumtaz, S, Rodriguez, J & Pervaiz, H 2019, 'Joint rate control and power allocation for low-latency reliable D2D-based relay network', EURASIP Journal on Wireless Communications and Networking, vol. 2019, no. 1, 111. https://doi.org/10.1186/s13638-019-1418-0

APA

Wang, Y., He, Y., Xu, C., Zhou, Z., Mumtaz, S., Rodriguez, J., & Pervaiz, H. (2019). Joint rate control and power allocation for low-latency reliable D2D-based relay network. EURASIP Journal on Wireless Communications and Networking, 2019(1), [111]. https://doi.org/10.1186/s13638-019-1418-0

Vancouver

Wang Y, He Y, Xu C, Zhou Z, Mumtaz S, Rodriguez J et al. Joint rate control and power allocation for low-latency reliable D2D-based relay network. EURASIP Journal on Wireless Communications and Networking. 2019 May 2;2019(1). 111. https://doi.org/10.1186/s13638-019-1418-0

Author

Wang, Y. ; He, Y. ; Xu, C. ; Zhou, Z. ; Mumtaz, S. ; Rodriguez, J. ; Pervaiz, H. / Joint rate control and power allocation for low-latency reliable D2D-based relay network. In: EURASIP Journal on Wireless Communications and Networking. 2019 ; Vol. 2019, No. 1.

Bibtex

@article{f5a8f35ddb1c4762910937798168cea3,
title = "Joint rate control and power allocation for low-latency reliable D2D-based relay network",
abstract = "Emerging 5G applications impose stringent requirements on network latency and reliability. In this work, we propose a low-latency reliable device-to-device (D2D) relay network framework to improve the cell coverage and user satisfaction. Particularly, we develop a cross-layer low-complexity resource allocation algorithm, which jointly optimizes the rate control and power allocation from a long-term perspective. The long-term optimization problem is transformed into a series of short-term subproblems by using Lyapunov optimization, and the objective function is separated into two independent subproblems related to rate control in network layer and power allocation in physical layer. Next, the Karush-Kuhn-Tucher (KKT) conditions and alternating direction method of multipliers (ADMM) algorithm are employed to solve the rate control subproblem and power allocation subproblem, respectively. Finally, simulation results demonstrate that the proposed algorithm can reach 99.9% of the optimal satisfaction of D2D pairs with lower average network delay compared to the baseline algorithm. Furthermore, the convergence time of the ADMM-based power allocation algorithm is only about 1.7% of that by using the CVX toolbox. {\textcopyright} 2019, The Author(s).",
keywords = "ADMM algorithm, D2D-based relay network, Low-latency and reliability, Lyapunov optimization, Power allocation, Rate control, 5G mobile communication systems, Computational complexity, Image coding, Network layers, Relay control systems, Alternating direction method of multipliers, Low latency, Optimization problems, Power allocation algorithms, Power allocations, Rate controls, Relay network, Resource allocation algorithms, Power control",
author = "Y. Wang and Y. He and C. Xu and Z. Zhou and S. Mumtaz and J. Rodriguez and H. Pervaiz",
year = "2019",
month = may,
day = "2",
doi = "10.1186/s13638-019-1418-0",
language = "English",
volume = "2019",
journal = "EURASIP Journal on Wireless Communications and Networking",
issn = "1687-1472",
publisher = "Springer International Publishing AG",
number = "1",

}

RIS

TY - JOUR

T1 - Joint rate control and power allocation for low-latency reliable D2D-based relay network

AU - Wang, Y.

AU - He, Y.

AU - Xu, C.

AU - Zhou, Z.

AU - Mumtaz, S.

AU - Rodriguez, J.

AU - Pervaiz, H.

PY - 2019/5/2

Y1 - 2019/5/2

N2 - Emerging 5G applications impose stringent requirements on network latency and reliability. In this work, we propose a low-latency reliable device-to-device (D2D) relay network framework to improve the cell coverage and user satisfaction. Particularly, we develop a cross-layer low-complexity resource allocation algorithm, which jointly optimizes the rate control and power allocation from a long-term perspective. The long-term optimization problem is transformed into a series of short-term subproblems by using Lyapunov optimization, and the objective function is separated into two independent subproblems related to rate control in network layer and power allocation in physical layer. Next, the Karush-Kuhn-Tucher (KKT) conditions and alternating direction method of multipliers (ADMM) algorithm are employed to solve the rate control subproblem and power allocation subproblem, respectively. Finally, simulation results demonstrate that the proposed algorithm can reach 99.9% of the optimal satisfaction of D2D pairs with lower average network delay compared to the baseline algorithm. Furthermore, the convergence time of the ADMM-based power allocation algorithm is only about 1.7% of that by using the CVX toolbox. © 2019, The Author(s).

AB - Emerging 5G applications impose stringent requirements on network latency and reliability. In this work, we propose a low-latency reliable device-to-device (D2D) relay network framework to improve the cell coverage and user satisfaction. Particularly, we develop a cross-layer low-complexity resource allocation algorithm, which jointly optimizes the rate control and power allocation from a long-term perspective. The long-term optimization problem is transformed into a series of short-term subproblems by using Lyapunov optimization, and the objective function is separated into two independent subproblems related to rate control in network layer and power allocation in physical layer. Next, the Karush-Kuhn-Tucher (KKT) conditions and alternating direction method of multipliers (ADMM) algorithm are employed to solve the rate control subproblem and power allocation subproblem, respectively. Finally, simulation results demonstrate that the proposed algorithm can reach 99.9% of the optimal satisfaction of D2D pairs with lower average network delay compared to the baseline algorithm. Furthermore, the convergence time of the ADMM-based power allocation algorithm is only about 1.7% of that by using the CVX toolbox. © 2019, The Author(s).

KW - ADMM algorithm

KW - D2D-based relay network

KW - Low-latency and reliability

KW - Lyapunov optimization

KW - Power allocation

KW - Rate control

KW - 5G mobile communication systems

KW - Computational complexity

KW - Image coding

KW - Network layers

KW - Relay control systems

KW - Alternating direction method of multipliers

KW - Low latency

KW - Optimization problems

KW - Power allocation algorithms

KW - Power allocations

KW - Rate controls

KW - Relay network

KW - Resource allocation algorithms

KW - Power control

U2 - 10.1186/s13638-019-1418-0

DO - 10.1186/s13638-019-1418-0

M3 - Journal article

VL - 2019

JO - EURASIP Journal on Wireless Communications and Networking

JF - EURASIP Journal on Wireless Communications and Networking

SN - 1687-1472

IS - 1

M1 - 111

ER -