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Optimal Resource Allocation Policies for Multi-User Backscatter Communication Systems

This paper considers a backscatter communication (BackCom) system including a reader and N tags, where each tag receives excitation signals transmitted by the reader and concurrently backscatters information to the reader in time-division-multiple-access (TDMA) mode. In this system, we aim to maximi...

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Detalles Bibliográficos
Autores principales: Lyu, Bin, Yang, Zhen, Gui, Guan, Feng, Youhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5190997/
https://www.ncbi.nlm.nih.gov/pubmed/27916825
http://dx.doi.org/10.3390/s16122016
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author Lyu, Bin
Yang, Zhen
Gui, Guan
Feng, Youhong
author_facet Lyu, Bin
Yang, Zhen
Gui, Guan
Feng, Youhong
author_sort Lyu, Bin
collection PubMed
description This paper considers a backscatter communication (BackCom) system including a reader and N tags, where each tag receives excitation signals transmitted by the reader and concurrently backscatters information to the reader in time-division-multiple-access (TDMA) mode. In this system, we aim to maximize the total system goodput by jointly optimizing reader transmission power, time allocation, and reflection ratio for the cases of passive and semi-passive tags. For each case, an optimization problem is formulated, which is non-convex and can be solved by being decomposed into at most N feasible sub-problems based on the priority of allocated reader transmission power. First, for the passive tags case, by solving the convex sub-problems sequentially and comparing their maximum total goodput, we derive the optimal resource allocation policy. Then, for the semi-passive tags case, we find a close-to-optimal solution, since each sub-problem can be reformulated as a biconvex problem, which is solved by a proposed block coordinate descent (BCD)-based optimization algorithm. Finally, simulation results demonstrate the superiority of the proposed resource allocation policies.
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spelling pubmed-51909972017-01-03 Optimal Resource Allocation Policies for Multi-User Backscatter Communication Systems Lyu, Bin Yang, Zhen Gui, Guan Feng, Youhong Sensors (Basel) Article This paper considers a backscatter communication (BackCom) system including a reader and N tags, where each tag receives excitation signals transmitted by the reader and concurrently backscatters information to the reader in time-division-multiple-access (TDMA) mode. In this system, we aim to maximize the total system goodput by jointly optimizing reader transmission power, time allocation, and reflection ratio for the cases of passive and semi-passive tags. For each case, an optimization problem is formulated, which is non-convex and can be solved by being decomposed into at most N feasible sub-problems based on the priority of allocated reader transmission power. First, for the passive tags case, by solving the convex sub-problems sequentially and comparing their maximum total goodput, we derive the optimal resource allocation policy. Then, for the semi-passive tags case, we find a close-to-optimal solution, since each sub-problem can be reformulated as a biconvex problem, which is solved by a proposed block coordinate descent (BCD)-based optimization algorithm. Finally, simulation results demonstrate the superiority of the proposed resource allocation policies. MDPI 2016-11-29 /pmc/articles/PMC5190997/ /pubmed/27916825 http://dx.doi.org/10.3390/s16122016 Text en © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Lyu, Bin
Yang, Zhen
Gui, Guan
Feng, Youhong
Optimal Resource Allocation Policies for Multi-User Backscatter Communication Systems
title Optimal Resource Allocation Policies for Multi-User Backscatter Communication Systems
title_full Optimal Resource Allocation Policies for Multi-User Backscatter Communication Systems
title_fullStr Optimal Resource Allocation Policies for Multi-User Backscatter Communication Systems
title_full_unstemmed Optimal Resource Allocation Policies for Multi-User Backscatter Communication Systems
title_short Optimal Resource Allocation Policies for Multi-User Backscatter Communication Systems
title_sort optimal resource allocation policies for multi-user backscatter communication systems
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5190997/
https://www.ncbi.nlm.nih.gov/pubmed/27916825
http://dx.doi.org/10.3390/s16122016
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