Passive Network Synchronization Based on Concurrent Observations in Industrial IoT Systems

Jia, Pengyi; Wang, Xianbin

doi:10.1109/jiot.2021.3070242

Cited by 7 publications

(2 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Tags may not synchronize well because of their limited hardware and the passive modulation [74]. Thus, it is important to ensure the highest sensitivity with minimal power consumption, ideally at the µW level [74], [75]. To this end, [76] employs a low-power energy detector synchronization method for Wi-Fi backscattering.…”

Section: E Synchronizationmentioning

confidence: 99%

Signal Detection in Ambient Backscatter Systems: Fundamentals, Methods, and Trends

Zargari,

Hakimi,

Rezaei

et al. 2023

IEEE Access

View full text Add to dashboard Cite

Internet-of-Things (IoT) is rapidly growing in wireless technology, aiming to connect vast numbers of devices to gather and distribute vital information. Despite individual devices having low energy consumption, the cumulative demand results in significant energy usage. Consequently, the concept of ultra-low-power tags gains appeal. Such tags communicate by reflecting rather than generating the radio frequency (RF) signals by themselves. Thus, these backscatter tags can be low-cost and battery-free. The RF signals can be ambient sources such as wireless-fidelity (Wi-Fi), cellular, or television (TV) signals, or the system can generate them externally. Backscatter channel characteristics are different from conventional point-to-point or cooperative relay channels. These systems are also affected by a strong interference link between the RF source and the tag besides the direct and backscattering links, making signal detection challenging. This paper provides an overview of the fundamentals, challenges, and ongoing research in signal detection for AmBC networks. It delves into various detection methods, discussing their advantages and drawbacks. The paper's emphasis on signal detection sets it apart and positions it as a valuable resource for IoT and wireless communication professionals and researchers.

show abstract

Section: E Synchronizationmentioning

confidence: 99%

Signal Detection in Ambient Backscatter Systems: Fundamentals, Methods, and Trends

Zargari,

Hakimi,

Rezaei

et al. 2023

IEEE Access

View full text Add to dashboard Cite

show abstract

“…Hence, for backscatter systems based on different wireless standards, effective strategies and techniques need to be identified to achieve the minimum required synchronization accuracy and desired high sensitivity with µW level power consumption. Moreover, synchronization schemes supporting the coexistence of multiple backscatter devices without mutually interfering must be further investigated [251].…”

Section: ) Synchronizationmentioning

confidence: 99%

Link Budget Analysis for Backscatter-Based Passive IoT

et al. 2022

View full text Add to dashboard Cite

Massive connectivity of billions of communicating devices for fifth-generation (5G) and beyond networks requires the deployment of self-sustaining, maintenance-free, and low-cost communication paradigms. Could passive Internet of Things (IoT) solve these challenges? Passive IoT can be realized with the backscatter communication (BackCom) paradigm, which uses ultra-low power, inexpensive passive tags to support massive connectivity. However, a comprehensive link budget analysis for BackCom networks has not yet been available. It is something that is necessary for practitioners and researchers to evaluate the potential of BackCom. This survey is organized as follows. First, we describe the BackCom configurations, passive IoT design targets, backscatter channel statistics, and the different components and operations of the backscatter tag. Second, we develop the forward link budget and the overall link budget. All the relevant parameters are described in detail. Third, we give numerical and simulation results to get insights on the achievable performance of BackCom networks. Since additive path losses and excess fading can limit the performance of BackCom networks, we examine potential solutions to overcome the resulting limitations, enabling massive IoT networks. We also discuss integrating BackCom with existing wireless technologies. We further highlight some applications and address open issues, challenges, and future research directions.

show abstract