Ambient Backscatter Communications: A Contemporary Survey

Huynh, Nguyễn Văn; Hoang, Dinh Thai; Lu, Xiao; Niyato, Dusit; Wang, Ping; Kim, Dong In

doi:10.1109/comst.2018.2841964

Cited by 635 publications

(375 citation statements)

References 145 publications

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“…. , ζ V } switches between V distinct values to implement the desired tag modulation [2]. Since we assume semipassive tags, entire excitation power q k at T k is used for BSC.…”

Section: B Adopted Bsc Channel Model and Tag Modelsmentioning

confidence: 99%

“…Backscatter communication (BSC) technology, involving the low power tags as the information sources that do not require costly and bulkier conventional radio frequency (RF) chain components like local oscillators, mixers, and converters [2], has recently emerged as a very reliable solution for enabling the sustainable pervasive computing demand in Internet of Things (IoT) [3]. Thus, with these resourceconstrained tags relying on the reflection-based alternative modulations [4] using only passive elements like envelope detectors, comparators, and impedance controllers, this BSC technology can also help in the ubiquitous deployment of lowcost wireless devices in 5G networks.…”

Section: Introductionmentioning

confidence: 99%

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Multi-Tag Backscattering to MIMO Reader: Channel Estimation and Throughput Fairness

Mishra

Larsson

2019

IEEE Trans. Wireless Commun.

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Green low power networking with the least requirement of dedicated radio resources is need of the hour which has led to the upsurge of backscatter communication (BSC) technology. However, this inherent potential of BSC is challenged by hardware constraints of the underlying tags. We address this timely concern by investigating the practical efficacy of multiple-input-multiple-output (MIMO) technology in overcoming the fundamental limitations of BSC. Specifically, we first introduce a novel least-squares based channel estimation (CE) protocol for multi-tag BSC settings that takes care of both the unintended ambient reflections and the inability of tags in performing estimation by themselves. Then using it, a nontrivial low-complexity algorithm is proposed to obtain the optimal transceiver designs for the multiantenna reader to maximize the minimum value of the lower-bounded backscattered throughput among the single-antenna semi-passive tags. Additional analytical insights on both individually and jointlyoptimal precoding vector and detector matrix at the reader are provided by exploring the asymptotically-optimal transceiver designs. Lastly detailed numerical investigation is carried out to validate the theoretical results and quantify the practically realizable throughput fairness. Specifically, more than seven-fold increase in the common-backscattered-throughput among tags as achieved by the proposed designs over the relevant benchmarks corroborates their practical significance.

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“…. , ζ V } switches between V distinct values to implement the desired tag modulation [2]. Since we assume semipassive tags, entire excitation power q k at T k is used for BSC.…”

Section: B Adopted Bsc Channel Model and Tag Modelsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Multi-Tag Backscattering to MIMO Reader: Channel Estimation and Throughput Fairness

Mishra

Larsson

2019

IEEE Trans. Wireless Commun.

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“…The backscatter mechanism enables backscatter transmitters (BTs) to have a simple structure consisting of no active radio frequency (RF) component, which is strongly favored by the Internet-of-things (IoT) application scenarios where many power-limited devices need to be connected. There are three configurations of backscatter communication systems, namely, monostatic backscatter (where the carrier emitter and receiver are co-located), bistatic backscatter (where the carrier emitter and receiver are geographically separated) and ambient backscatter (where ambient RF signals are used as carriers) [1]. For conventional monostatic backscatter techniques such as radio frequency identification (RFID), the transmitter can only passively transmit to the reader when being inquired [2], which limits the application scenarios of this technology.…”

Section: A Background and Motivationmentioning

confidence: 99%

Coverage Probability Analysis Under Clustered Ambient Backscatter Nodes

Han

Minn

2019

IEEE Wireless Commun. Lett.

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In this paper, we consider a new large-scale communication scheme where randomly distributed AmBC nodes are involved as secondary users to primary transmitter (PT) and primary receiver (PR) pairs. The secondary communication between a backscatter transmitter (BT) and a backscatter receiver (BR) is conducted by the BT's reflecting its corresponding PT's signal with different antenna impedances, which introduces additional double fading channels and potential inter-symbol-interference to the primary communications. Thus, at a typical PR, the backscatter signals are regarded as either decodable signals or interference. Assuming the locations of PTs form a Poisson point process and the locations of BTs form a Poisson cluster process, we derive the SINR and SIR based coverage probabilities for two network configuration scenarios. Numerical results on the coverage probabilities indicate the possibility to involve a large amount of AmBC nodes in existing wireless networks.

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“…AirComp can compute a class of nomographic functions (e.g., arithmetic mean, weighted sum, geometric mean and Euclidean norm) by coherent and simultaneous transmissions of sensors, and by exploiting the superposition property of the wireless channel [3]. an existing radio frequency (RF) signal, this technology can support low-power sensor-type devices [4].…”

Section: Introductionmentioning

confidence: 99%

Mobility-Assisted Over-the-Air Computation for Backscatter Sensor Networks

Farajzadeh

Erçetin

Yanıkömeroğlu

2020

IEEE Wireless Commun. Lett.

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Future intelligent systems will consist of a massive number of battery-less sensors, where quick and accurate aggregation of sensor data will be of paramount importance. Over-the-air computation (AirComp) is a promising technology wherein sensors concurrently transmit their measurements over the wireless channel, and a reader receives the noisy version of a function of measurements due to the superposition property.A key challenge in AirComp is the accurate power alignment of individual transmissions, addressed previously by using conventional precoding methods. In this paper, we investigate a UAVenabled backscatter communication framework, wherein UAV acts both as a power emitter and reader. The mobility of the reader is leveraged to replace the complicated precoding at sensors, where UAV first collects sum channel gains in the first flyover, and then, use these to estimate the actual aggregated sensor data in the second flyover. Our results demonstrate improvements of up to 10 dB in MSE compared to that of a benchmark case where UAV is incognizant of sum channel gains.

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Ambient Backscatter Communications: A Contemporary Survey

Cited by 635 publications

References 145 publications

Multi-Tag Backscattering to MIMO Reader: Channel Estimation and Throughput Fairness

Multi-Tag Backscattering to MIMO Reader: Channel Estimation and Throughput Fairness

Coverage Probability Analysis Under Clustered Ambient Backscatter Nodes

Mobility-Assisted Over-the-Air Computation for Backscatter Sensor Networks

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