Energy-Efficient Prefix Code Based Backscatter Communication for Wirelessly Powered Networks

Zhang, Yufan; Li, Ertao; Chi, Kaikai; Tian, Xianzhong

doi:10.1109/lwc.2018.2872538

Cited by 12 publications

(10 citation statements)

References 5 publications

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“…Reference [104] thus developed an energy-efficient and easyimplementation coding scheme used for WPN-BCs. An energy consumption minimization problem is formulated to derive the codebook, where only the blocks with the number of energyconsuming bits being equal to or greater than an encoding threshold, are encoded, thereby leading to a smaller codebook size.…”

Section: µCode [109]mentioning

confidence: 99%

Large-Scale Wireless-Powered Networks With Backscatter Communications—A Comprehensive Survey

Rezaei

Tellambura

Herath

2020

IEEE Open J. Commun. Soc.

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Massive and ubiquitous deployment of devices in networks of fifth generation (5G) and beyond wireless has necessitated the development of ultra-low-power wireless communication paradigms. Recently, wireless-powered networks with backscatter communications (WPN-BCs) has been emerged as a most prominent technology for enabling large-scale selfsustainable wireless networks with the capabilities of RF energy harvesting (EH) and of extreme low power consumption. Therefore, we provide a comprehensive literature review on the fundamentals, challenges and the on-going research efforts in the domain of WPN-BCs. Our emphasis is on large-scale networks. In particular, we discuss signal processing aspects, network design issues and efficient communication techniques. Moreover, we review emerging technologies for WPN-BCs to bring about the best use of resources. Some applications of this innovative technology are also highlighted. Finally, we address some open research problems and future research directions.

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Section: µCode [109]mentioning

confidence: 99%

Large-Scale Wireless-Powered Networks With Backscatter Communications—A Comprehensive Survey

Rezaei

Tellambura

Herath

2020

IEEE Open J. Commun. Soc.

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“…Authors in [115] designed energy efficient prefix codes for AmBC. The code assists BackCom to take advantage of energy disparity between transmitted and received bits 0 and 1.…”

Section: E Modulation and Codingmentioning

confidence: 99%

“…Nevertheless, properly obtaining the global state information is non-trivial due to the dynamic nature of the UAV. Therefore, authors in [120] BackCom assisted passive wireless Use load modulation at the sensor Achieved high network reliability sensor network nodes to transmit data and longer life time for sensors [110] Enable PAM in AmBC Use a microcontroller to switch Received data using low between various states at the tag complexity receiver [111] Enable OFDM-like BackCom Model modulation as multiplication Successfully decoded operation transmitted data [112] Enable OFDM-like BackCom Use four circuits operating different Successfully decoded frequencies to design 4-QAM transmitted data [113] Enable Non-coherent AmBC Leverage the spectrum structure Less complex and low-powered of OFDM symbols to transmit data receiver was used for decoding signals [114] Enable Non-coherent AmBC Develop an optimal decision policy Achieved higher BER over OOK for decoding Manchester encoded data from tags [115] EE coding in AmBC Developed EE prefix codes Could encode and decode data in BackCom with a codebook successfully [116] Higher order modulation Design a tag that can enable QAM Improved the throughput in underwater BackCom at the underwater tag of underwater BackCom the UAV. In the problem formulation, they also considered BackCom device scheduling, power reflection coefficients and fairness.…”

Section: F Technology-assisted and Intelligent Techniquesmentioning

confidence: 99%

Backscatter Wireless Communications and Sensing in Green Internet of Things

Toro

Leung

2022

IEEE Trans. on Green Commun. Netw.

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Internet of Things (IoT) is a key technology for enabling ubiquitous applications that interconnect with cyberphysical systems in various environments. However, its large scale adoption is strongly impeded by the limited energy available for most IoT devices that are battery-powered, and further challenged by the growing demands to pack increasing functionalities into IoT devices while shrinking their sizes. To address these problems, researchers have developed techniques for energy harvesting, wireless power transfer, and minimizing power consumption in the sensing, communication and computation components of IoT nodes, as found in many surveys. In contrast, this paper surveys Backscatter Communication (BackCom), a recently emerged technique that enables green IoT through joint wireless communication and sensing and potentially allows IoT devices to operate without batteries. The operating principle of BackCom-based green IoT, its architecture and evolution are presented. Also state-of-the-art applications such as healthcare, agriculture, human activity recognition, transportation and mobile IoT are reviewed together with the operational and security challenges faced by these applications and potential solution techniques to address these challenges while ensuring a high energy efficiency. Lastly, some future applications of BackCombased green IoT are discussed.

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“…BER analysis of the AmBC system showed better performance over on-off keying (OOK) modulation. Authors in [115] designed energy efficient prefix codes for AmBC. The code assists BackCom to take advantage of energy disparity between transmitted and received bits 0 and 1.…”

Section: E Modulation and Codingmentioning

confidence: 99%

“…Content may change prior to final publication. Citation information: DOI 10.1109/TGCN.2021.3095792, IEEE Transactions on Green Communications and Networking BackCom assisted passive wireless Use load modulation at the sensor Achieved high network reliability sensor network nodes to transmit data and longer life time for sensors [110] Enable PAM in AmBC Use a microcontroller to switch Received data using low between various states at the tag complexity receiver [111] Enable OFDM-like BackCom Model modulation as multiplication Successfully decoded operation transmitted data [112] Enable OFDM-like BackCom Use four circuits operating different Successfully decoded frequencies to design 4-QAM transmitted data [113] Enable Non-coherent AmBC Leverage the spectrum structure Less complex and low-powered of OFDM symbols to transmit data receiver was used for decoding signals [114] Enable Non-coherent AmBC Develop an optimal decision policy Achieved higher BER over OOK for decoding Manchester encoded data from tags [115] EE coding in AmBC Developed EE prefix codes Could encode and decode data in BackCom with a codebook successfully [116] Higher order modulation Design a tag that can enable QAM Improved the throughput in underwater BackCom at the underwater tag of underwater BackCom the UAV. In the problem formulation, they also considered BackCom device scheduling, power reflection coefficients and fairness.…”

Section: F Technology-assisted and Intelligent Techniquesmentioning

confidence: 99%