Energy efficiency maximization resource allocation algorithm in wireless-powered backscatter communication network

In order to alleviate the energy consumption problem caused by the increasing number of Internet of things (IoT) nodes,an energy-efficient (EE) maximization based resource allocation algorithm was proposed for multi-carrier wireless-powered backscatter communication network.Firstly,a multivariable a...

Full description

Saved in:
Bibliographic Details
Main Authors: Yongjun XU, Bowen GU, Qianbin CHEN, Jinzhao LIN
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2020-10-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2020132/
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1841539280303816704
author Yongjun XU
Bowen GU
Qianbin CHEN
Jinzhao LIN
author_facet Yongjun XU
Bowen GU
Qianbin CHEN
Jinzhao LIN
author_sort Yongjun XU
collection DOAJ
description In order to alleviate the energy consumption problem caused by the increasing number of Internet of things (IoT) nodes,an energy-efficient (EE) maximization based resource allocation algorithm was proposed for multi-carrier wireless-powered backscatter communication network.Firstly,a multivariable and nonlinear resource allocation model was formulated to jointly optimize transmit power,transmission time,reflection coefficient,and energy-harvesting allocation coefficient,where the maximum transmit power constraint of the power station and the minimum harvested energy constraint at the backscatter device were considered.Then,the original non-convex optimization problem was transformed into a convex one which was solved by using Dinkelbach’s method and the variable substitution approach.Furthermore,the analytical solution of the resource allocation problem was obtained based on Lagrange dual theory.Simulation results verify that the proposed algorithm has better EE by comparing it with the existing algorithm under pure backscatter mode and algorithm under the harvested-then-transmit mode.
format Article
id doaj-art-6e0fa64665114bad981e82aa9f930da1
institution Kabale University
issn 1000-436X
language zho
publishDate 2020-10-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-6e0fa64665114bad981e82aa9f930da12025-01-14T07:21:00ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2020-10-014120221059738167Energy efficiency maximization resource allocation algorithm in wireless-powered backscatter communication networkYongjun XUBowen GUQianbin CHENJinzhao LINIn order to alleviate the energy consumption problem caused by the increasing number of Internet of things (IoT) nodes,an energy-efficient (EE) maximization based resource allocation algorithm was proposed for multi-carrier wireless-powered backscatter communication network.Firstly,a multivariable and nonlinear resource allocation model was formulated to jointly optimize transmit power,transmission time,reflection coefficient,and energy-harvesting allocation coefficient,where the maximum transmit power constraint of the power station and the minimum harvested energy constraint at the backscatter device were considered.Then,the original non-convex optimization problem was transformed into a convex one which was solved by using Dinkelbach’s method and the variable substitution approach.Furthermore,the analytical solution of the resource allocation problem was obtained based on Lagrange dual theory.Simulation results verify that the proposed algorithm has better EE by comparing it with the existing algorithm under pure backscatter mode and algorithm under the harvested-then-transmit mode.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2020132/multi-carrier communicationwireless-powered backscatter communicationresource allocation
spellingShingle Yongjun XU
Bowen GU
Qianbin CHEN
Jinzhao LIN
Energy efficiency maximization resource allocation algorithm in wireless-powered backscatter communication network
Tongxin xuebao
multi-carrier communication
wireless-powered backscatter communication
resource allocation
title Energy efficiency maximization resource allocation algorithm in wireless-powered backscatter communication network
title_full Energy efficiency maximization resource allocation algorithm in wireless-powered backscatter communication network
title_fullStr Energy efficiency maximization resource allocation algorithm in wireless-powered backscatter communication network
title_full_unstemmed Energy efficiency maximization resource allocation algorithm in wireless-powered backscatter communication network
title_short Energy efficiency maximization resource allocation algorithm in wireless-powered backscatter communication network
title_sort energy efficiency maximization resource allocation algorithm in wireless powered backscatter communication network
topic multi-carrier communication
wireless-powered backscatter communication
resource allocation
url http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2020132/
work_keys_str_mv AT yongjunxu energyefficiencymaximizationresourceallocationalgorithminwirelesspoweredbackscattercommunicationnetwork
AT bowengu energyefficiencymaximizationresourceallocationalgorithminwirelesspoweredbackscattercommunicationnetwork
AT qianbinchen energyefficiencymaximizationresourceallocationalgorithminwirelesspoweredbackscattercommunicationnetwork
AT jinzhaolin energyefficiencymaximizationresourceallocationalgorithminwirelesspoweredbackscattercommunicationnetwork