Channel Capacity Optimization Using Reconfigurable Intelligent Surfaces in Indoor mmWave Environments

Perović, Nemanja Stefan; Renzo, Marco Di; Flanagan, Mark F.

doi:10.1109/icc40277.2020.9148781

Cited by 140 publications

(85 citation statements)

References 9 publications

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“…Power control for physical layer broadcasting in an RISbased network is investigated in [25]. Rate maximization in RIS-based indoor millimeter-waves systems is addressed in [26] by adjusting the RIS and the transmitter phase shifts.…”

Section: Introductionmentioning

confidence: 99%

On the Optimal Number of Reflecting Elements for Reconfigurable Intelligent Surfaces

Zappone

Renzo

et al. 2021

IEEE Wireless Commun. Lett.

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This work considers a point-to-point link where a reconfigurable intelligent surface assists the communication between a transmitter and a receiver. The system rate, energy efficiency, and their trade-off are optimized by tuning the number of reflecting elements to be activated and the phase shifts that they apply. Unlike most previous works, the considered resource allocation problem explicitly accounts, at the design stage, for the time and energy that are necessary for channel estimation and for reporting the optimal configuration of the phase shifts to the reconfigurable intelligent surface. Numerical results confirm the optimality of the proposed methods and show the potential gains of reconfigurable intelligent surfaces.

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Section: Introductionmentioning

confidence: 99%

On the Optimal Number of Reflecting Elements for Reconfigurable Intelligent Surfaces

Zappone

Renzo

et al. 2021

IEEE Wireless Commun. Lett.

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“…As discussed in previous text, RISs have been leveraged for enhancing the performance of various emerging technologies, such as FSO, UAV, and VLC networks [21], [22], [27], [28]. Moreover, RISs have bee applied for improving the performance of multiple-input multiple/single-output (MIMO/MISO) networks [20], [29], [30] and millimeter wave (mmWave) communications [31], [32]. Furthermore, dual-hop mixed RF-UWOC systems have been employed in applications like ocean monitoring [4].…”

mentioning

confidence: 99%

On the Performance of RIS-Assisted Dual-Hop Mixed RF-UWOC Systems

Yang

Costa

et al. 2021

IEEE Trans. Cogn. Commun. Netw.

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In this paper, we investigate the performance of a reconfigurable intelligent surface (RIS)-assisted dual-hop mixed radio-frequency underwater wireless optical communication (RF-UWOC) system. An RIS is an emerging and low-cost technology that aims to enhance the strength of the received signal, thus improving the system performance. In the considered system setup, a ground source does not have a reliable direct link to a given marine buoy and communicates with it through an RIS installed on a building. In particular, the buoy acts as a relay that sends the signal to an underwater destination. In this context, analytical expressions for the outage probability (OP), average bit error rate (ABER), and average channel capacity (ACC) are derived assuming fixed-gain amplify-and-forward (AF) and decode-and-forward (DF) relaying protocols at the marine buoy. Moreover, asymptotic analyses of the OP and ABER are carried out in order to gain further insights from the analytical frameworks. In particular, the system diversity order is derived and it is shown to depend on the RF link parameters and on the detection schemes of the UWOC link. Finally, it is demonstrated that RIS-assisted systems can effectively improve the performance of mixed dual-hop RF-UWOC systems. Index Terms-Underwater wireless optical communications, reconfigurable intelligent surface, relaying systems, mixed dualhop transmission schemes. I. INTRODUCTION U NDERWATER wireless optical communication (UWOC) is a promising technique for beyond fifth-generation (B5G) wireless networks because it provides higher data rates and better confidentiality than traditional underwater wireless communication systems [1], [2]. In UWOC, however, the scattering and absorption of the optical signal caused by various components in the seawater may have an adverse effect on the transmission of the optical signal, and these issues need to be properly evaluated. Along the years, mixed dualhop transmissions assuming radio-frequency (RF) and UWOC links have been widely investigated. Specifically, the secrecy performance of mixed RF-UWOC systems was investigated in [3]. In [4], mixed RF-UWOC relaying networks with both decode-and-forward (DF) and amplify-and-forward (AF) capabilities were analyzed. In [5], the authors proposed a unified

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“…Additionally, it is seen that the ergodic spectral efficiency is an increasing function of ρ, N and Q. By looking at (25), we see that Q can be canceled out due to the fact that sin(π/Q) ≈ π/Q when Q is large enough (e.g., Q ≥ 16). Therefore, when Q is sufficiently large, further increasing the number of quantization levels, Q, does not have any noticeable impact on the systems' performance.…”

Section: B Upper and Lower-bounds For The Ergodic Spectral Efficiencymentioning

confidence: 91%

“…Then, by using E [γ], which is given by ( 9), a possible upper-bound for the ergodic capacity of the LIS-assisted system can be given by (25). As it is tight for high SNR scenarios, it can be assumed as a good approximation.…”

Section: B Upper and Lower-bounds For The Ergodic Spectral Efficiencymentioning

confidence: 99%

“…However, LISassisted systems present some potential advantages over traditional relaying techniques such as full-duplex communications, reduced power consumption, and hardware cost for low and high-frequency bands (since there is no need for power amplifiers) [7,9,11]- [13,19]. According to several works [20]- [25], LIS technology can do something new for mmWave frequencies and above such as (i) adding extra propagation paths to sparse channels, (ii) replacing the need for large antenna arrays since they are complicated to build and (iii) working as relay since conventional relays might not be available.…”

Section: Introductionmentioning

confidence: 99%

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Large Intelligent Surfaces With Discrete Set of Phase-Shifts Communicating Through Double-Rayleigh Fading Channels

et al. 2021

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Despite many studies already published on large intelligent surfaces (LIS), there are still some gaps in mathematical models in the face of possible scenarios. In this work, we evaluate the performance of a single-input single-output (SISO) system in which an LIS acts as a controllable scatterer. We consider that the direct link between the transmitting and receiving devices is non-existent due to a blockage. Quantization phase errors at the LIS are considered since a high precision configuration of the reflection phases is not always feasible. We derive exact closed-form expressions for the spectral efficiencies, outage probabilities, and average symbol error rate (SER) of different modulations schemes. We assume a more comprehensive scenario in which b bits are dedicated to the phase adjustment of the LIS' elements. Based on Monte Carlo simulations, we prove the excellent accuracy of our approach and investigate the behavior of the power scaling law and the power required to reach a specific capacity, depending on the number of reflecting elements. We show that an LIS with approximately fifty elements and four dedicated bits for phase quantization outperforms the conventional system without LIS.INDEX TERMS Large Intelligent Surface, outage probability, quantization phase errors, spectral efficiency, symbol error rate.

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Channel Capacity Optimization Using Reconfigurable Intelligent Surfaces in Indoor mmWave Environments

Cited by 140 publications

References 9 publications

On the Optimal Number of Reflecting Elements for Reconfigurable Intelligent Surfaces

On the Optimal Number of Reflecting Elements for Reconfigurable Intelligent Surfaces

On the Performance of RIS-Assisted Dual-Hop Mixed RF-UWOC Systems

Large Intelligent Surfaces With Discrete Set of Phase-Shifts Communicating Through Double-Rayleigh Fading Channels

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