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Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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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 -