Performance of Ambient Backscatter Systems Using Reconfigurable Intelligent Surface

Chen, Yunfei

doi:10.1109/lcomm.2021.3083110

Cited by 28 publications

(5 citation statements)

References 14 publications

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“…In addition, the Gauss-Chebyshev parameter is selected as L = 100 to yield a close approximation. 12), (19), (20), (23), and (29) are used to plot the analytical lines. From Figure 2, we notice that the network users experience different outage performances depending on the N = K = M values.…”

Section: Numerical Resultsmentioning

confidence: 99%

Outage probability computation in multi-backscatter systems with multi-modes of operation

2022

Bulletin EEI

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In this article, we study the outage performance of an ambient multi-backscatter system supported by non-orthogonal multiple access (NOMA) downlink transmission, where legacy users receive information either directly from the base station (BS) or from multiple backscatter devices (BDs) as well. Specifically, we characterize the network connections between the BS and network users into three modes of operation. In the first mode, the BS communicates with the users via the BDs by exploiting NOMA. In the second mode, the BS communicates directly with the users by employing selection combining (SC) beamforming. In the third mode, the users receive signals from both the BS and BDs simultaneously, by using maximal ratio combining (MRC) to combine the BS and BDs links at the users. Consequently, we derive the exact outage expressions of each mode and utilize Monte Carlo simulations to validate the individual exact expressions.

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Section: Numerical Resultsmentioning

confidence: 99%

Outage probability computation in multi-backscatter systems with multi-modes of operation

2022

Bulletin EEI

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“…At the reader, the SINR or SNR can be increased by combining the reflected signals coherently. The BER performance of an IRS-enabled AmBC system is analyzed in [144], where IRS is used as a reflector to enhance wireless communication on several different links, including RF source-to-tag and RF sourceto-reader. As part of this study, a ML detector is used as the reader, as well.…”

Section: B Ambc Signal Detection Using Irsmentioning

confidence: 99%

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

Zargari,

Hakimi,

Rezaei

et al. 2023

IEEE Access

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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.

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Section: Radiation Control System Including Repositionable Dynamic Ri...mentioning

confidence: 99%

“…In the existing literature, the RIS technology has been integrated into ambient backscatter communication system for performance improvement [40], [62]- [64]. In [62], the effect of the RIS on the source-to-reader and source-to-tag links of the ABC system is investigated with the bit-error rate (BER) performance indicator. Moreover, reference [63] studies advanced spatial multiplexing techniques of the RIS assisted ABC system by analytically showing that presence of the RIS can improve the spectral and energy efficiency.…”

Section: Radiation Control System Including Repositionable Dynamic Ri...mentioning

confidence: 99%

Control of Electromagnetic Radiation on Coexisting Smart Radio Environment

Şahin

Arslan

Chen

2022

IEEE Open J. Commun. Soc.

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Efficient spectrum utilization is always the fundamental challenge of mobile communication technology toward 6G. Instead of conventional spectral efficiency in bps/Hz, geographical region shall be brought into consideration in bps/Hz/unit-area, which suggests spatial domain technology as a generalization of conventional MIMO to elevate next generation mobile communication technology. Therefore, this paper introduces the formation of smart radio environment considering efficient utilization of radio spectrum in any given geographical area, which can be also viewed as a generalization of cognitive radio technology. By smart management of reconfigurable intelligent surface (RIS) and ambient backscatter communication (ABC) technologies, smart radio environment can be formed in any given area to achieve spectral-spatial efficiency. In this paper, the control of electromagnetic spatial radiation over a region is explored by utilizing repositionable dynamic RIS and harmony of multiple ABC nodes assisted with machine learning (ML) based control mechanism to form spectrum map. Such smart and reconfigurable radio technology demonstrates the superiority of mutual usage of RIS and ABC in terms of shaping the electromagnetic energy in coexisting radio systems. First, the use of multiple RISs is studied to enhance the capacity of secondary use inside the specific area by shaping the electromagnetic energy in the spatial domain. Secondly, a new degree of freedom with repositionable dynamic RIS is introduced. Controlling the time varied shadowing effects by re-positioning the RIS, it is shown that 15% more capacity can be achieved. Finally, the use of multiple coordinated ABCs to protect the region of primary use against the radiation due the secondary uses is investigated. Having coordinated network with repositionable dynamic RIS and multiple ABCs allow us to shape the electromagnetic wave in spatial domain by creating radiation rejection and coverage extension zones. A centralized or distributed mechanism to construct the spectrum map based on ABC sensor is also introduced to instruct existing repositionable dynamic RISs for better coverage. Merging these promising technologies will pave the way for the smart radio environment creating high spectral efficient wireless systems.INDEX TERMS Coexistence, cognitive radio, spatial-spectral efficiency, reconfigurable intelligent surface, ambient backscatter communications, interference management, smart radio environment. I. INTRODUCTIONT HE 5G wireless networks is proposed to enable three imperative service applications which are massive machine type communications (mMTC), enhanced-mobile broadband (eMBB), and ultra reliable and low latency communications (uRLLC). With the recent developments on key 5G technologies such as massive MIMO, polar coding, cloud radio access network (C-RAN), and so on, the theoretical gain is achieved to be validated by the field test [1]. However, as intelligence, autonomy and ubiquity of digital

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Performance of Ambient Backscatter Systems Using Reconfigurable Intelligent Surface

Cited by 28 publications

References 14 publications

Outage probability computation in multi-backscatter systems with multi-modes of operation

Outage probability computation in multi-backscatter systems with multi-modes of operation

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

Control of Electromagnetic Radiation on Coexisting Smart Radio Environment

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