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Backscatter

The Experts below are selected from a list of 312 Experts worldwide ranked by ideXlab platform

Dong-in Kim – 1st expert on this subject based on the ideXlab platform

  • Ambient Backscatter assisted wireless powered communications
    IEEE Wireless Communications, 2018
    Co-Authors: Xiao Lu, Dong-in Kim, Dusit Niyato, Hai Jiang, Yong Xiao, Zhu Han

    Abstract:

    Ambient Backscatter communication technology has been introduced recently, and is then quickly becoming a promising choice for self-sustainable communication systems as an external power supply or a dedicated carrier emitter is not required. By leveraging existing RF signal resources, ambient Backscatter technology can support sustainable and independent communications and consequently open up a whole new set of applications that facilitate Internet-of-Things (IoT). In this article, we study an integration of ambient Backscatter with wireless powered communication networks (WPCNs). We first present an overview of Backscatter communication systems with an emphasis on the emerging ambient Backscatter technology. Then we propose a novel hybrid transmitter design by combining the advantages of both ambient Backscatter and wireless powered communications. Furthermore, in the cognitive radio environment, we introduce a multiple access scheme to coordinate the hybrid data transmissions. The performance evaluation shows that the hybrid transmitter outperforms traditional designs. In addition, we discuss some open issues related to the ambient Backscatter networking.

  • Ambient Backscatter Communications: A Contemporary Survey
    IEEE Communications Surveys and Tutorials, 2018
    Co-Authors: Nguyen Van Huynh, Dinh Thai Hoang, Xiao Lu, Dusit Niyato, Ping Wang, Dong-in Kim

    Abstract:

    Recently, ambient Backscatter communications has been introduced as a cutting-edge technology which enables smart devices to communicate by utilizing ambient radio frequency (RF) signals without requiring active RF transmission. This technology is especially effective in addressing communication and energy efficiency problems for low-power communications systems such as sensor networks. It is expected to realize numerous Internet-of-Things (IoT) applications. Therefore, this paper aims to provide a contemporary and comprehensive literature review on fundamentals, applications, challenges, and research efforts/progress of ambient Backscatter communications. In particular, we first present fundamentals of Backscatter communications and briefly review bistatic Backscatter communications systems. Then, the general architecture, advantages, and solutions to address existing issues and limitations of ambient Backscatter communications systems are discussed. Additionally, emerging applications of ambient Backscatter communications are highlighted. Finally, we outline some open issues and future research directions.

  • Novel sparse-coded ambient Backscatter communication for massive iot connectivity
    Energies, 2018
    Co-Authors: Tae Yeong Kim, Dong-in Kim

    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 factor graph. Simulation results validate the potential of the SC-AmBC in terms of connectivity, detection performance and sum throughput.

Xiao Lu – 2nd expert on this subject based on the ideXlab platform

  • ambient Backscatter assisted wireless powered communications
    IEEE Wireless Communications, 2018
    Co-Authors: Xiao Lu, Dusit Niyato, Hai Jiang, Yong Xiao

    Abstract:

    Ambient Backscatter communication technology has been introduced recently, and is quickly becoming a promising choice for self-sustainable communication systems, as an external power supply or a dedicated carrier emitter is not required. By leveraging existing RF signal resources, ambient Backscatter technology can support sustainable and independent communications and consequently open up a whole new set of applications that facilitate Internet of things (IoT). In this article, we study an integration of ambient Backscatter with wireless powered communication networks (WPCNs). We first present an overview of Backscatter communication systems with an emphasis on the emerging ambient Backscatter technology. Then we propose a novel hybrid transmitter design by combining the advantages of both ambient Backscatter and wireless powered communications. Furthermore, in the cognitive radio environment, we introduce a multiple access scheme to coordinate hybrid data transmissions. The performance evaluation shows that the hybrid transmitter outperforms traditional designs. In addition, we discuss open issues related to ambient Backscatter networking.

  • Ambient Backscatter assisted wireless powered communications
    IEEE Wireless Communications, 2018
    Co-Authors: Xiao Lu, Dong-in Kim, Dusit Niyato, Hai Jiang, Yong Xiao, Zhu Han

    Abstract:

    Ambient Backscatter communication technology has been introduced recently, and is then quickly becoming a promising choice for self-sustainable communication systems as an external power supply or a dedicated carrier emitter is not required. By leveraging existing RF signal resources, ambient Backscatter technology can support sustainable and independent communications and consequently open up a whole new set of applications that facilitate Internet-of-Things (IoT). In this article, we study an integration of ambient Backscatter with wireless powered communication networks (WPCNs). We first present an overview of Backscatter communication systems with an emphasis on the emerging ambient Backscatter technology. Then we propose a novel hybrid transmitter design by combining the advantages of both ambient Backscatter and wireless powered communications. Furthermore, in the cognitive radio environment, we introduce a multiple access scheme to coordinate the hybrid data transmissions. The performance evaluation shows that the hybrid transmitter outperforms traditional designs. In addition, we discuss some open issues related to the ambient Backscatter networking.

  • Ambient Backscatter Communications: A Contemporary Survey
    IEEE Communications Surveys and Tutorials, 2018
    Co-Authors: Nguyen Van Huynh, Dinh Thai Hoang, Xiao Lu, Dusit Niyato, Ping Wang, Dong-in Kim

    Abstract:

    Recently, ambient Backscatter communications has been introduced as a cutting-edge technology which enables smart devices to communicate by utilizing ambient radio frequency (RF) signals without requiring active RF transmission. This technology is especially effective in addressing communication and energy efficiency problems for low-power communications systems such as sensor networks. It is expected to realize numerous Internet-of-Things (IoT) applications. Therefore, this paper aims to provide a contemporary and comprehensive literature review on fundamentals, applications, challenges, and research efforts/progress of ambient Backscatter communications. In particular, we first present fundamentals of Backscatter communications and briefly review bistatic Backscatter communications systems. Then, the general architecture, advantages, and solutions to address existing issues and limitations of ambient Backscatter communications systems are discussed. Additionally, emerging applications of ambient Backscatter communications are highlighted. Finally, we outline some open issues and future research directions.

Pengyu Zhang – 3rd expert on this subject based on the ideXlab platform

  • practical Backscatter communication systems for battery free internet of things a tutorial and survey of recent research
    IEEE Signal Processing Magazine, 2018
    Co-Authors: Chenren Xu, Lei Yang, Pengyu Zhang

    Abstract:

    Backscatter presents an emerging ultralow-power wireless communication paradigm. The ability to offer submilliwatt power consumption makes it a competitive core technology for Internet of Things (IoT) applications. In this article, we provide a tutorial of Backscatter communication from the signal processing perspective as well as a survey of the recent research activities in this domain, primarily focusing on bistatic Backscatter systems. We also discuss the unique real-world applications empowered by Backscatter communication and identify open questions in this domain. We believe this article will shed light on the low-power wireless connectivity design toward building and deploying IoT services in the wild.

  • Enabling Practical Backscatter Communication for On-body Sensors
    Proceedings of the 2016 conference on ACM SIGCOMM 2016 Conference – SIGCOMM '16, 2016
    Co-Authors: Pengyu Zhang, Mohammad Rostami, Pan Hu, Deepak Ganesan

    Abstract:

    We introduce inter-technology Backscatter, a novel approach that transforms wireless transmissions from one technology to another, on the air. Specifically, we show for the first time that Bluetooth transmissions can be used to create Wi-Fi and ZigBee-compatible signals using Backscatter communication. Since Bluetooth, Wi-Fi and ZigBee radios are widely available, this approach enables a Backscatter design that works using only commodity devices. We build prototype Backscatter hardware using an FPGA and experiment with various Wi-Fi, Bluetooth and ZigBee devices. Our experiments show we can create 2-11 Mbps Wi-Fi standards-compliant signals by Backscattering Bluetooth transmissions. To show the generality of our approach, we also demonstrate generation of standards-complaint ZigBee signals by Backscattering Bluetooth transmissions. Finally, we build proof-of-concepts for previously infeasible applications including the first contact lens form-factor antenna prototype and an implantable neural recording interface that communicate directly with commodity devices such as smartphones and watches, thus enabling the vision of Internet connected implanted devices.

  • blink a high throughput link layer for Backscatter communication
    International Conference on Mobile Systems Applications and Services, 2012
    Co-Authors: Pengyu Zhang, Jeremy Gummeson, Deepak Ganesan

    Abstract:

    Backscatter communication offers an ultra-low power alternative to active radios in urban sensing deployments – communication is powered by a reader, thereby making it virtually “free”. While Backscatter communication has largely been used for extremely small amounts of data transfer (e.g. a 12 byte EPC identifier from an RFID tag), sensors need to use Backscatter for continuous and high-volume sensor data transfer. To address this need, we describe a novel link layer that exploits unique characteristics of Backscatter communication to optimize throughput. Our system offers several optimizations including 1) understanding of multi-path self-interference characteristics and link metrics that capture these characteristics, 2) design of novel mobility-aware probing techniques that use Backscatter link signatures to determine when to probe the channel, 3) bitrate selection algorithms that use link metrics to determine the optimal bitrate, and 4) channel selection mechanism that optimize throughput while remaining compliant within FCC regulations. Our results show upto 3x increase in goodput over other mechanisms across a wide range of channel conditions, scales, and mobility scenarios.