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反向散射辅助无线供电通信网络中的最优时间分配

Optimal Time Allocation in Backscatter Assisted Wireless Powered Communication Networks.

作者信息

Lyu Bin, Yang Zhen, Gui Guan, Sari Hikmet

机构信息

Key Laboratory of Ministry of Education in Broadband Wireless Communication and Sensor Network Technology, Nanjing University of Posts and Telecommunications, Nanjing 210003, China.

出版信息

Sensors (Basel). 2017 Jun 1;17(6):1258. doi: 10.3390/s17061258.

DOI:10.3390/s17061258
PMID:28587171
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5492155/
Abstract

This paper proposes a wireless powered communication network (WPCN) assisted by backscatter communication (BackCom). This model consists of a power station, an information receiver and multiple users that can work in either BackCom mode or harvest-then-transmit (HTT) mode. The time block is mainly divided into two parts corresponding to the data backscattering and transmission periods, respectively. The users first backscatter data to the information receiver in time division multiple access (TDMA) during the data backscattering period. When one user works in the BackCom mode, the other users harvest energy from the power station. During the data transmission period, two schemes, i.e., non-orthogonal multiple access (NOMA) and TDMA, are considered. To maximize the system throughput, the optimal time allocation policies are obtained. Simulation results demonstrate the superiority of the proposed model.

摘要

本文提出了一种由反向散射通信(BackCom)辅助的无线供电通信网络(WPCN)。该模型由一个发电站、一个信息接收器和多个用户组成,这些用户可以在反向散射通信模式或先收集再传输(HTT)模式下工作。时间块主要分为两部分,分别对应数据反向散射和传输周期。在数据反向散射周期内,用户首先通过时分多址(TDMA)将数据反向散射到信息接收器。当一个用户工作在反向散射通信模式时,其他用户从发电站收集能量。在数据传输周期内,考虑了两种方案,即非正交多址(NOMA)和TDMA。为了最大化系统吞吐量,获得了最优时间分配策略。仿真结果证明了所提模型的优越性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e313/5492155/e3d23aff93a8/sensors-17-01258-g006a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e313/5492155/c1b63a234dd2/sensors-17-01258-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e313/5492155/f5f1c5c6b7cf/sensors-17-01258-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e313/5492155/23eed936d658/sensors-17-01258-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e313/5492155/7c61b5119c01/sensors-17-01258-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e313/5492155/172d6a3b27e0/sensors-17-01258-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e313/5492155/e3d23aff93a8/sensors-17-01258-g006a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e313/5492155/c1b63a234dd2/sensors-17-01258-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e313/5492155/f5f1c5c6b7cf/sensors-17-01258-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e313/5492155/23eed936d658/sensors-17-01258-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e313/5492155/7c61b5119c01/sensors-17-01258-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e313/5492155/172d6a3b27e0/sensors-17-01258-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e313/5492155/e3d23aff93a8/sensors-17-01258-g006a.jpg

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