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...
Main Authors: | , , , , , , |
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Format: | Article |
Language: | English |
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SpringerOpen
2019-05-01
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Series: | EURASIP Journal on Wireless Communications and Networking |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s13638-019-1418-0 |
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author | Yahui Wang Yanhua He Chen Xu Zhenyu Zhou Shahid Mumtaz Jonathan Rodriguez Haris Pervaiz |
author_facet | Yahui Wang Yanhua He Chen Xu Zhenyu Zhou Shahid Mumtaz Jonathan Rodriguez Haris Pervaiz |
author_sort | Yahui Wang |
collection | DOAJ |
description | 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. |
first_indexed | 2024-04-12T06:45:51Z |
format | Article |
id | doaj.art-4bd74348e1b544c0a6ed01cd7f65eb26 |
institution | Directory Open Access Journal |
issn | 1687-1499 |
language | English |
last_indexed | 2024-04-12T06:45:51Z |
publishDate | 2019-05-01 |
publisher | SpringerOpen |
record_format | Article |
series | EURASIP Journal on Wireless Communications and Networking |
spelling | doaj.art-4bd74348e1b544c0a6ed01cd7f65eb262022-12-22T03:43:33ZengSpringerOpenEURASIP Journal on Wireless Communications and Networking1687-14992019-05-012019111410.1186/s13638-019-1418-0Joint rate control and power allocation for low-latency reliable D2D-based relay networkYahui Wang0Yanhua He1Chen Xu2Zhenyu Zhou3Shahid Mumtaz4Jonathan Rodriguez5Haris Pervaiz6The State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, School of Electrical and Electronic Engineering, North China Electric Power UniversityThe State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, School of Electrical and Electronic Engineering, North China Electric Power UniversityThe State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, School of Electrical and Electronic Engineering, North China Electric Power UniversityThe State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, School of Electrical and Electronic Engineering, North China Electric Power UniversityThe Institute of TelecommunicationsThe Institute of TelecommunicationsSCC, Lancaster UniversityAbstract 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.http://link.springer.com/article/10.1186/s13638-019-1418-0D2D-based relay networkRate controlPower allocationLyapunov optimizationADMM algorithmLow-latency and reliability |
spellingShingle | Yahui Wang Yanhua He Chen Xu Zhenyu Zhou Shahid Mumtaz Jonathan Rodriguez Haris Pervaiz Joint rate control and power allocation for low-latency reliable D2D-based relay network EURASIP Journal on Wireless Communications and Networking D2D-based relay network Rate control Power allocation Lyapunov optimization ADMM algorithm Low-latency and reliability |
title | Joint rate control and power allocation for low-latency reliable D2D-based relay network |
title_full | Joint rate control and power allocation for low-latency reliable D2D-based relay network |
title_fullStr | Joint rate control and power allocation for low-latency reliable D2D-based relay network |
title_full_unstemmed | Joint rate control and power allocation for low-latency reliable D2D-based relay network |
title_short | Joint rate control and power allocation for low-latency reliable D2D-based relay network |
title_sort | joint rate control and power allocation for low latency reliable d2d based relay network |
topic | D2D-based relay network Rate control Power allocation Lyapunov optimization ADMM algorithm Low-latency and reliability |
url | http://link.springer.com/article/10.1186/s13638-019-1418-0 |
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