RIS-Assisted Advanced Spatial Modulation Techniques for Ambient Backscattering Communications

Bhowal, Anirban; Aı̈ssa, Sonia; Kshetrimayum, Rakhesh Singh

doi:10.1109/tgcn.2021.3100009

Cited by 23 publications

(8 citation statements)

References 33 publications

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“…It can be observed that it is hard to derive the asymptotic UPEP directly from (29) through VB method and from (64) through EB method. To tackle this issue, we resort to (63) as (66) When the SNR is large, the denominator part 4 sin 2 θ in (66) becomes quite small compared to ρκ.…”

Section: B Eb Methods To Upep Derivationmentioning

confidence: 99%

“…By taking advantage of the information carrying capacity of SM and the reconfigurability of RIS to the environment, [28] studied the potential applications of RIS-SM in relay networks, wireless sensing, and cognitive radio. Besides, the framework of RIS-assisted SM-based ambient backscattering communication was presented in [29], where the tag device can implement ambient backscattering to harness the energy of RF waves in the environment as well as SM techniques. Additionally, [30] proposed the RIS-assisted transceiver-based QSM scheme in which the transmitter and receiver select a set of antenna indexes for transmitting and receiving the real and imaginary parts of the complex signal, respectively.…”

Section: Ar[•]mentioning

confidence: 99%

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Performance Analysis of RIS-Aided Double Spatial Scattering Modulation for mmWave MIMO Systems

Zhu,

Chen,

et al. 2024

IEEE Trans. Wireless Commun.

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In this paper, we propose a novel transmissive reconfigurable intelligent surface (TRIS) transmitter-enabled spatial modulation (SM) multiple-input multiple-output (MIMO) system. In the transmission phase, a column-wise activation strategy is implemented for the TRIS panel, where the specific column elements are activated per time slot. Concurrently, the receiver employs the maximum likelihood detection technique. Based on this, for the transmit signals, we derive the closedform expressions for the upper bounds of the average bit error probability (ABEP) of the proposed scheme from different perspectives, employing both vector-based and element-based approaches. Furthermore, we provide the asymptotic closed-form expressions for the ABEP of the TRIS-SM scheme, as well as the diversity gain. To improve the performance of the proposed TRIS-SM system, we optimize ABEP with a fixed data rate. Additionally, we provide lower bounds to simplify the computational complexity of improved TRIS-SM scheme. The Monte Carlo simulation method is used to validate the theoretical derivations exhaustively. The results demonstrate that the proposed TRIS-SM scheme can achieve better ABEP performance compared to the conventional SM scheme. Furthermore, the improved TRIS-SM scheme outperforms the TRIS-SM scheme in terms of reliability.

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Section: B Eb Methods To Upep Derivationmentioning

confidence: 99%

Section: Ar[•]mentioning

confidence: 99%

Performance Analysis of RIS-Aided Double Spatial Scattering Modulation for mmWave MIMO Systems

Zhu,

Chen,

et al. 2024

IEEE Trans. Wireless Commun.

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“…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. Experimental analysis of the RIS improved ABC system is performed in [64].…”

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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“…The majority of previous studies considered the scenario in which a RIS is utilized to replace relays. Another key situation is that the RIS, in conjunction with the RF signal generator, could be employed as part of the transmitter to assist the source in data transmissions [113]. The idea of employing a RIS as a transmitter was recently tested using a testbed platform [114].…”

Section: Ris-assisted Free Space Optics (Fso) and Hybrid Rf/fso Communicationsmentioning

confidence: 99%

Reconfigurable Intelligent Surfaces for 5G and beyond Wireless Communications: A Comprehensive Survey

2021

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With possible new use cases and demanding requirements of future 5th generation (5G) and beyond cellular networks, the future of mobile communications sounds promising. However, the propagation medium has been considered a randomly acting agent between the transmitter and the receiver. With the advent of the digital age of wireless communications, the received signal quality is degrading due to the uncontrollable interactions of the transmitted radio waves with the surrounding artifacts. This paper presents a comprehensive literature review on reconfigurable intelligent surfaces (RISs) and assisted application areas. With the RIS, the network operators can control radio waves’ scattering, reflection, and refraction characteristics by resolving the harmful properties of environmental wireless propagation. Further, the RIS can effectively control the wavefront, such as amplitude, phase, frequency, and even polarization, without requiring complex encoding, decoding, or radio wave processing techniques. Motivated by technological advances, the metasurfaces, reflectarrays, phase shift, and liquid crystals are potential candidates for implementing RIS. Thus, they can be considered the front runner for realizing the 5G and beyond network. Furthermore, the current research activities in the evolving field of wireless networks operated by RIS are reviewed and discussed thoroughly. Finally, to fully explore the potential of RISs in wireless networks, the fundamental research issues to be addressed have been discussed.

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RIS-Assisted Advanced Spatial Modulation Techniques for Ambient Backscattering Communications

Cited by 23 publications

References 33 publications

Performance Analysis of RIS-Aided Double Spatial Scattering Modulation for mmWave MIMO Systems

Performance Analysis of RIS-Aided Double Spatial Scattering Modulation for mmWave MIMO Systems

Control of Electromagnetic Radiation on Coexisting Smart Radio Environment

Reconfigurable Intelligent Surfaces for 5G and beyond Wireless Communications: A Comprehensive Survey

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