Next Article in Journal
An Online Measurement Method for Insulator Creepage Distance on Transmission Lines
Previous Article in Journal
Review of Electromagnetic Vibration in Electrical Machines
Article Menu
Issue 7 (July) cover image

Export Article

Open AccessArticle
Energies 2018, 11(7), 1780; https://doi.org/10.3390/en11071780

Novel Sparse-Coded Ambient Backscatter Communication for Massive IoT Connectivity

School of Information and Communication Engineering, Sungkyunkwan University, Suwon 440-746, Korea
*
Author to whom correspondence should be addressed.
Received: 8 June 2018 / Revised: 30 June 2018 / Accepted: 5 July 2018 / Published: 6 July 2018
Full-Text   |   PDF [785 KB, uploaded 6 July 2018]   |  

Abstract

Low-power ambient backscatter communication (AmBC) relying on radio-frequency (RF) energy harvesting is an energy-efficient solution for batteryless Internet of Things (IoT). However, ambient backscatter signals are severely faded by dyadic backscatter channel (DBC), limiting connectivity in conventional orthogonal time-division-based AmBC (TD-AmBC). In order to support massive connectivity in AmBC, we propose sparse-coded AmBC (SC-AmBC) based on non-orthogonal signaling. Sparse code utilizes inherent sparsity of AmBC where power supplies of RF tags rely on ambient RF energy harvesting. Consequently, sparse-coded backscatter modulation algorithm (SC-BMA) can enable non-orthogonal multiple access (NOMA) as well as M-ary modulation for concurrent backscatter transmissions, providing additional diversity gain. These sparse codewords from multiple tags can be efficiently detected at access point (AP) using iterative message passing algorithm (MPA). To overcome DBC along with intersymbol interference (ISI), we propose dyadic channel estimation algorithm (D-CEA) and dyadic MPA (D-MPA) exploiting weighted-sum of the ISI for information exchange in the factor graph. Simulation results validate the potential of the SC-AmBC in terms of connectivity, detection performance and sum throughput. View Full-Text
Keywords: RF energy harvesting; ambient backscatter communication (AmBC); sparse code multiple access (SCMA); dyadic backscatter channel (DBC); iterative decoder RF energy harvesting; ambient backscatter communication (AmBC); sparse code multiple access (SCMA); dyadic backscatter channel (DBC); iterative decoder
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Kim, T.Y.; Kim, D.I. Novel Sparse-Coded Ambient Backscatter Communication for Massive IoT Connectivity. Energies 2018, 11, 1780.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Energies EISSN 1996-1073 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top