Coverage Analysis of Reconfigurable Intelligent Surface Assisted THz Wireless Systems

Boulogeorgos, Alexandros–Apostolos A.; Alexiou, Angeliki

doi:10.1109/ojvt.2021.3051209

Cited by 61 publications

(44 citation statements)

References 74 publications

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“…where the contribution of the (m, n) RIS element to the total electric field is given by [15], [19]:…”

Section: System Modelmentioning

confidence: 99%

“…change with (m, n) and, therefore, U RIS,t/r depends on the coordinates of each (m, n) element. Last, regarding the phase introduced by the RIS, it should be noted that a RIS design that aims to redirect a beam from the AP to the UE should provide the linear phase gradient given by [15], [19]:…”

Section: System Modelmentioning

confidence: 99%

“…Furthermore, in [18], the optimization of the data rate and energy efficiency of a RIS-aided multi-user downlink multiple input single output (MIMO) system is performed with two algorithms for the values of the RIS reflectors and the transmit power allocation of the access point (AP). In [19], the coverage probability in the form of a closed-form expression is derived for RIS-aided THz wireless systems. In [20] and [21], the optimal position of the RIS is determined with the prospect of maximizing the signal-to-noise-ratio (SNR) at the receiver.…”

Section: Introductionmentioning

confidence: 99%

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Analytical Performance Assessment of Beamforming Efficiency in Reconfigurable Intelligent Surface-Aided Links

2021

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Future wireless networks designed to operate in the millimeter-wave and terahertz bands are expected to be highly assisted by Reconfigurable Intelligent Surfaces (RIS). The role of the RIS will be to mediate possible non-line-of-sight link by redirecting the incident beam from the transmitter to the receiver and possibly modifying its characteristics, in order to optimize the beamforming efficiency and to maximize the signal power at the receiver. Therefore, it is crucial to understand what are the bounds imposed on the received power and how these bounds depend on the system design parameters. In this paper we show that, contrary to typical line-of-sight links, the increase of the transmitter gain does not always guarantee power increase at the receiver, even for an infinitely large RIS, and we explain how the RIS size can further affect the received power. We present an analytical model that captures the performance of the RIS-aided link in the limit of very large RIS, and we demonstrate numerical examples that provide insight on the interplay between the RIS size and the properties of the transmitter beam. INDEX TERMSBeamforming efficiency, beam steering, reconfigurable intelligent surface, THz communications.

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“…where the contribution of the (m, n) RIS element to the total electric field is given by [15], [19]:…”

Section: System Modelmentioning

confidence: 99%

Section: System Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Analytical Performance Assessment of Beamforming Efficiency in Reconfigurable Intelligent Surface-Aided Links

2021

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“…This can be achieved by introducing required phase shifts of the discrete elements in the RIS. In addition, a suf iciently large RIS supporting the aforementioned features can be acquired within miniature footprints at high frequencies, such as the THz band [22,70,71]. RISs have already been considered for improving the coverage performance of THz indoor communications at the sea level, as in [72], where the authors have proposed a suboptimal search scheme for the RIS phase shifts.…”

Section: Recon Igurable Intelligent Surfacesmentioning

confidence: 99%

Terahertz band communications as a new frontier for drone networks

Saeed¹,

Gürbüz²,

Akkaş³

et al. 2021

ITU-J FET

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Terahertz band (0.1-10 THz) communications is one of the candidates for 6G systems due to intrinsic massive bandwidth and data rate support. Having demonstrated the significant potential of THz band at various atmospheric altitudes, in this article, we discuss the prospects of THz communications for drone networks, more specifically, for Drone Sensor Networks (DSNs). For 6G non-terrestrial communication scenarios, drones will not only serve as on-demand base-stations, as supporting alternatives or backhauls for the terrestrial base stations, but they will also provide seamless connectivity for distributed monitoring and surveillance applications, which require an ultra-reliable low latency service for carrying multimedia data. THz band sensing will also provide additional sensing capabilities from the sky to THz-enabled DSNs. Presenting this vision, in this paper, we first discuss possible use cases of THz-enabled drone networks considering communication, sensing and localization aspects. Then, for revealing the capacity potential of THz-enabled drone networks, we provide motivating channel capacity results for communication of drones at different altitudes, under ideal channel conditions with no fading and realistic channel with beam misalignment and multipath fading. We further present major challenges pertaining to employing the THz band for DSNs, addressing physical layer issues, followed with spectrum and interference management, medium access control and higher layers and security, while reviewing some prominent solutions. Finally, we highlight future research directions with Artificial Intelligence (AI)/Machine Learning (ML)-based approaches and mobile edge computing.

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“…Also, IRS can be utilized to enhance the signal coverage when the BS-IRS direct path is blocked. Coverage analyses of IRS-aided communication systems were studied in [11], [12]. The author in [3] suggested that the IRS could costeffectively overcome localized coverage holes such as urban scenarios.…”

mentioning

confidence: 99%

Intelligent Reflecting Surface for Spectral Efficiency Maximization in the Multi-User MISO Communication Systems

Jung

Park

et al. 2021

IEEE Access

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This paper proposes an intelligent reflective surface (IRS) design scheme to improve the spectral efficiency (SE) for downlink multi-user (MU) multiple-input-single-output (MISO) system. IRS composed of low-cost reflecting elements is expected to be used in various scenarios in future wireless communication systems. It can be used even when the direct path is blocked by obstacles. Since the reflecting elements can only adjust the phase, the design of IRS matrix causes a non-convex problem. In this paper, the proposed schemes perform optimization by transforming a non-convex problem into a solvable convex function. Typically, base station-IRS (BS-IRS) channel can be assumed as the line-of-sight (LOS) channel environment. In this case, multi-user system suffers from performance degradation due to the LOS channel rank problem. To alleviate this problem, this paper considers deterministic scattering and sufficient spacing between the reflecting elements of the IRS. The simulation results show that the proposed schemes achieve better SE performance than the randomly generated IRS scheme. In addition, proposed minimum mean square error (MMSE)-based scheme can achieve high performance compared to other schemes even in a low-rank channel environment.INDEX TERMS Intelligent reflecting surface, multi-user MISO, phase shift, spectral efficiency.

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Coverage Analysis of Reconfigurable Intelligent Surface Assisted THz Wireless Systems

Cited by 61 publications

References 74 publications

Analytical Performance Assessment of Beamforming Efficiency in Reconfigurable Intelligent Surface-Aided Links

Analytical Performance Assessment of Beamforming Efficiency in Reconfigurable Intelligent Surface-Aided Links

Terahertz band communications as a new frontier for drone networks

Intelligent Reflecting Surface for Spectral Efficiency Maximization in the Multi-User MISO Communication Systems

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