An Energy-Efficient Scheme for Multirelay Cooperative Networks with Energy Harvesting

An Energy-Efficient Scheme for Multirelay Cooperative Networks with Energy Harvesting

This study investigates an energy-efficient scheme in multirelay cooperative networks with energy harvesting where multiple sessions need to communicate with each other via the relay node. A two-step optimal method is proposed which maximizes the system energy efficiency, while taking into account t...

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Main Authors: Dingcheng Yang, Chuanqi Zhu, Lin Xiao, Xiaomei Shen, Tiankui Zhang
Format: Article
Language:English
Published: Hindawi Limited 2016-01-01
Series:Mobile Information Systems
Online Access:http://dx.doi.org/10.1155/2016/5618935
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spelling doaj-0e2972c1d2fa4d78a66b9e4891a5cb1f2021-07-02T09:03:08ZengHindawi LimitedMobile Information Systems1574-017X1875-905X2016-01-01201610.1155/2016/56189355618935An Energy-Efficient Scheme for Multirelay Cooperative Networks with Energy HarvestingDingcheng Yang0Chuanqi Zhu1Lin Xiao2Xiaomei Shen3Tiankui Zhang4Information Engineering School, Nanchang University, Nanchang 330031, ChinaInformation Engineering School, Nanchang University, Nanchang 330031, ChinaInformation Engineering School, Nanchang University, Nanchang 330031, ChinaBeijing University of Posts and Telecommunications, Beijing, ChinaBeijing University of Posts and Telecommunications, Beijing, ChinaThis study investigates an energy-efficient scheme in multirelay cooperative networks with energy harvesting where multiple sessions need to communicate with each other via the relay node. A two-step optimal method is proposed which maximizes the system energy efficiency, while taking into account the receiver circuit energy consumption. Firstly, the optimal power allocation for relay nodes is determined to maximize the system throughput; this is based on directional water-filling algorithm. Secondly, using quantum particle swarm optimization (QPSO), a joint relay node selection and session grouping optimization is proposed. With this algorithm, sessions can be classified into multiple groups that are assisted by the specific relay node with the maximum energy efficiency. This approach leads to a better global optimization in searching ability and efficiency. Simulation results show that the proposed scheme can improve the energy efficiency effectively compared with direct transmission and opportunistic relay-selected cooperative transmission.http://dx.doi.org/10.1155/2016/5618935
collection DOAJ
language English
format Article
sources DOAJ
author Dingcheng Yang
Chuanqi Zhu
Lin Xiao
Xiaomei Shen
Tiankui Zhang
spellingShingle Dingcheng Yang
Chuanqi Zhu
Lin Xiao
Xiaomei Shen
Tiankui Zhang
An Energy-Efficient Scheme for Multirelay Cooperative Networks with Energy Harvesting
Mobile Information Systems
author_facet Dingcheng Yang
Chuanqi Zhu
Lin Xiao
Xiaomei Shen
Tiankui Zhang
author_sort Dingcheng Yang
title An Energy-Efficient Scheme for Multirelay Cooperative Networks with Energy Harvesting
title_short An Energy-Efficient Scheme for Multirelay Cooperative Networks with Energy Harvesting
title_full An Energy-Efficient Scheme for Multirelay Cooperative Networks with Energy Harvesting
title_fullStr An Energy-Efficient Scheme for Multirelay Cooperative Networks with Energy Harvesting
title_full_unstemmed An Energy-Efficient Scheme for Multirelay Cooperative Networks with Energy Harvesting
title_sort energy-efficient scheme for multirelay cooperative networks with energy harvesting
publisher Hindawi Limited
series Mobile Information Systems
issn 1574-017X
1875-905X
publishDate 2016-01-01
description This study investigates an energy-efficient scheme in multirelay cooperative networks with energy harvesting where multiple sessions need to communicate with each other via the relay node. A two-step optimal method is proposed which maximizes the system energy efficiency, while taking into account the receiver circuit energy consumption. Firstly, the optimal power allocation for relay nodes is determined to maximize the system throughput; this is based on directional water-filling algorithm. Secondly, using quantum particle swarm optimization (QPSO), a joint relay node selection and session grouping optimization is proposed. With this algorithm, sessions can be classified into multiple groups that are assisted by the specific relay node with the maximum energy efficiency. This approach leads to a better global optimization in searching ability and efficiency. Simulation results show that the proposed scheme can improve the energy efficiency effectively compared with direct transmission and opportunistic relay-selected cooperative transmission.
url http://dx.doi.org/10.1155/2016/5618935
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