Relay-Based Blockage and Antenna Misalignment Mitigation in THz Wireless Communications

Stratidakis, Giorgos; Papasotiriou, Evangelos N.; Konstantinis, Haralampos; Boulogeorgos, Alexandros–Apostolos A.; Alexiou, Angeliki

doi:10.1109/6gsummit49458.2020.9083750

Cited by 41 publications

(36 citation statements)

References 25 publications

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“…In accordance with the behavior observed in Fig. (6), this is a direct consequence of the fact that, in all cases examined, the theoretically expected AP gain that marks the maximum P r [panel (b)] is located at lower AP gain levels than the gain that marks the transition from the infinite to the finite RIS regime [panel (c)]. In other words, the power loss from the AP footprint on the RIS due to the finite (relatively small) RIS size dominates, leading to this more intuitive and typical performance.…”

Section: Impact Of Finite Ris Size: From Pencil Beams To Wide Beams and Full Ris Coveragesupporting

confidence: 91%

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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Section: Impact Of Finite Ris Size: From Pencil Beams To Wide Beams and Full Ris Coveragesupporting

confidence: 91%

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

2021

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“…This characteristic is expected to influence both beamforming design as well as resource allocation and user association. • The large penetration loss in the THz band, which may surpass 40 or even 50 dB (Kokkoniemi et al, 2016;Stratidakis et al, 2019;Petrov et al, 2020;Stratidakis et al, 2020a;Stratidakis et al, 2020b), renders questionable the establishment of the non-LoS links. As a result, blockage avoidance schemes are needed.…”

Section: Notationsmentioning

confidence: 99%

Machine Learning: A Catalyst for THz Wireless Networks

Boulogeorgos

Yaqub²,

Renzo

et al. 2021

Front. Comms. Net.

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With the vision to transform the current wireless network into a cyber-physical intelligent platform capable of supporting bandwidth-hungry and latency-constrained applications, both academia and industry turned their attention to the development of artificial intelligence (AI) enabled terahertz (THz) wireless networks. In this article, we list the applications of THz wireless systems in the beyond fifth generation era and discuss their enabling technologies and fundamental challenges that can be formulated as AI problems. These problems are related to physical, medium/multiple access control, radio resource management, network and transport layer. For each of them, we report the AI approaches, which have been recognized as possible solutions in the technical literature, emphasizing their principles and limitations. Finally, we provide an insightful discussion concerning research gaps and possible future directions.

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“…Since the THz wave is quasi-optical [59], the study in [26] argued that the misalignment fading can be modeled from a pointing error model in freespace optical communications [60]. After this statistical misalignment fading model is proposed, it has been used in many subsequent studies [47,[61][62][63].…”

Section: Misalignment Fadingmentioning

confidence: 99%

THz channel modeling: Consolidating the road to THz communications

Liu

Guo

et al. 2021

China Commun.

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For the sake of meeting the demand of data rates at terabit (Tbit) per second scale in future networks, the terahertz (THz) band is widely accepted as one of the potential key enabling technologies for next generation wireless communication systems. With the progressive development of THz devices, regrading THz communications at system level is increasing crucial and captured the interest of plenty of researchers. Within this scope, THz channel modeling serves as an indispensable and fundamental element. By surveying the latest literature findings, this paper reviews the problem of channel modeling in the THz band, with an emphasis on molecular absorption loss, misalignment fading and multipath fading, which are major influence factors in the THz channel modeling. Then, we focus on simulators and experiments in the THz band, after which we give a brief introduction on applications of THz channel models with respects to capacity, security, and sensing as examples. Finally, we discuss some key issues in the future THz channel modeling.

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Relay-Based Blockage and Antenna Misalignment Mitigation in THz Wireless Communications

Cited by 41 publications

References 25 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

Machine Learning: A Catalyst for THz Wireless Networks

THz channel modeling: Consolidating the road to THz communications

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