Ambient Backscatter Communications for Future Ultra-Low-Power Machine Type Communications: Challenges, Solutions, Opportunities, and Future Research Trends

Ruifeng Duan; Xiyu Wang; Huseyin Yigitler; Muhammad Sheikh; Riku Jäntti; Zhu Han

doi:10.1109/MCOM.001.1900464

Ambient Backscatter Communications for Future Ultra-Low-Power Machine Type Communications: Challenges, Solutions, Opportunities, and Future Research Trends

Ruifeng Duan, Xiyu Wang, Huseyin Yigitler, Muhammad Sheikh, Riku Jäntti, Zhu Han

Communication Engineering

Research output: Contribution to journal › Article › Scientific › peer-review

40 Citations (Scopus)

6 Downloads (Pure)

Abstract

The widespread applications of massive MTC are limited by energy availability, spectrum congestion, and device costs. The emerging AmBC not only addresses these bottlenecks but also opens opportunities for new applications. This article aims to explore AmBC-enhanced future ultra-low-power MTC. In this context, we present the development trends in AmBC prototype designs and discuss potential applications, highlight the specific features of the AmBC technology, and review AmBC receiver designs. Finally, we investigate and outline the future research challenges and trends from the practical aspects of AmBC systems.

Original language	English
Article number	8999426
Pages (from-to)	42-47
Number of pages	6
Journal	IEEE Communications Magazine
Volume	58
Issue number	2
DOIs	https://doi.org/10.1109/MCOM.001.1900464
Publication status	Published - 14 Feb 2020
MoE publication type	A1 Journal article-refereed

Keywords

Internet of Things
Wireless sensor networks
Low power electronics
Ambient networks

Access to Document

10.1109/MCOM.001.1900464

AmBC_magazine_final_submissionFinal published version, 402 KB

OpenUrl availability

Full text

Adaptive ambient backscatter Communications for ultra-low power Systems
Jäntti, R., Badihi Olyaei, B., Ruttik, K., Menta, E., Wang, X. & Sheikh, M.
01/09/2018 → 31/08/2021
Project: Academy of Finland: Other research funding
AIMHIS: Collaborative Research: Ambient Re-Scatter inspired Machine Type Communications for Heterogeneous IoT Systems
Jäntti, R. & Duan, R.
12/04/2017 → 31/12/2019
Project: Academy of Finland: Other research funding

Cite this

@article{10fde15d7d70438a8c0b714d49d5173c,

title = "Ambient Backscatter Communications for Future Ultra-Low-Power Machine Type Communications: Challenges, Solutions, Opportunities, and Future Research Trends",

abstract = "The widespread applications of massive MTC are limited by energy availability, spectrum congestion, and device costs. The emerging AmBC not only addresses these bottlenecks but also opens opportunities for new applications. This article aims to explore AmBC-enhanced future ultra-low-power MTC. In this context, we present the development trends in AmBC prototype designs and discuss potential applications, highlight the specific features of the AmBC technology, and review AmBC receiver designs. Finally, we investigate and outline the future research challenges and trends from the practical aspects of AmBC systems.",

keywords = "Internet of Things, Wireless sensor networks, Low power electronics, Ambient networks",

author = "Ruifeng Duan and Xiyu Wang and Huseyin Yigitler and Muhammad Sheikh and Riku J{\"a}ntti and Zhu Han",

year = "2020",

month = feb,

day = "14",

doi = "10.1109/MCOM.001.1900464",

language = "English",

volume = "58",

pages = "42--47",

journal = "IEEE Communications Magazine ",

issn = "0163-6804",

publisher = "IEEE",

number = "2",

}

Ambient Backscatter Communications for Future Ultra-Low-Power Machine Type Communications: Challenges, Solutions, Opportunities, and Future Research Trends. / Duan, Ruifeng; Wang, Xiyu ; Yigitler, Huseyin et al.
In: IEEE Communications Magazine , Vol. 58, No. 2, 8999426, 14.02.2020, p. 42-47.

Research output: Contribution to journal › Article › Scientific › peer-review

TY - JOUR

T1 - Ambient Backscatter Communications for Future Ultra-Low-Power Machine Type Communications: Challenges, Solutions, Opportunities, and Future Research Trends

AU - Duan, Ruifeng

AU - Wang, Xiyu

AU - Yigitler, Huseyin

AU - Sheikh, Muhammad

AU - Jäntti, Riku

AU - Han, Zhu

PY - 2020/2/14

Y1 - 2020/2/14

N2 - The widespread applications of massive MTC are limited by energy availability, spectrum congestion, and device costs. The emerging AmBC not only addresses these bottlenecks but also opens opportunities for new applications. This article aims to explore AmBC-enhanced future ultra-low-power MTC. In this context, we present the development trends in AmBC prototype designs and discuss potential applications, highlight the specific features of the AmBC technology, and review AmBC receiver designs. Finally, we investigate and outline the future research challenges and trends from the practical aspects of AmBC systems.

AB - The widespread applications of massive MTC are limited by energy availability, spectrum congestion, and device costs. The emerging AmBC not only addresses these bottlenecks but also opens opportunities for new applications. This article aims to explore AmBC-enhanced future ultra-low-power MTC. In this context, we present the development trends in AmBC prototype designs and discuss potential applications, highlight the specific features of the AmBC technology, and review AmBC receiver designs. Finally, we investigate and outline the future research challenges and trends from the practical aspects of AmBC systems.

KW - Internet of Things

KW - Wireless sensor networks

KW - Low power electronics

KW - Ambient networks

U2 - 10.1109/MCOM.001.1900464

DO - 10.1109/MCOM.001.1900464

M3 - Article

SN - 0163-6804

VL - 58

SP - 42

EP - 47

JO - IEEE Communications Magazine

JF - IEEE Communications Magazine

IS - 2

M1 - 8999426

ER -

Ambient Backscatter Communications for Future Ultra-Low-Power Machine Type Communications: Challenges, Solutions, Opportunities, and Future Research Trends

Abstract

Keywords

Access to Document

OpenUrl availability

Fingerprint

Projects

Adaptive ambient backscatter Communications for ultra-low power Systems

AIMHIS: Collaborative Research: Ambient Re-Scatter inspired Machine Type Communications for Heterogeneous IoT Systems

Cite this