Stochastic multipath channel modeling and power delay profile analysis for terahertz-band communication

Hossain, Zahed; Mollica, Carley N.; Jornet, Josep Miquel

doi:10.1145/3109453.3109473

Cited by 12 publications

(6 citation statements)

References 16 publications

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“…Statistical modeling can also be used to study the effect of blockage, which is significant at higher frequencies. For instance, NLoS THz channel modeling is conducted in a generic stochastic approach in [84], by assuming rectangular geometry and accounting for variable densities of reflecting objects (single reflection components) and blocking obstacles. THz signals are more sensitive to blockages than mmWave signals.…”

Section: B Statistical Thz Channel Modelingmentioning

confidence: 99%

An Overview of Signal Processing Techniques for Terahertz Communications

2021

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Terahertz (THz)-band communications are a key enabler for future-generation wireless communication systems that promise to integrate a wide range of data-demanding applications. Recent advancements in photonic, electronic, and plasmonic technologies are closing the gap in THz transceiver design. Consequently, prospect THz signal generation, modulation, and radiation methods are converging, and the corresponding channel model, noise, and hardware-impairment notions are emerging. Such progress paves the way for well-grounded research into THz-specific signal processing techniques for wireless communications. This tutorial overviews these techniques with an emphasis on ultra-massive multiple-input multiple-output (UM-MIMO) systems and reconfigurable intelligent surfaces, which are vital to overcoming the distance problem at very high frequencies. We focus on the classical problems of waveform design and modulation, beamforming and precoding, index modulation, channel estimation, channel coding, and data detection. We also motivate signal processing techniques for THz sensing and localization.

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Section: B Statistical Thz Channel Modelingmentioning

confidence: 99%

An Overview of Signal Processing Techniques for Terahertz Communications

2021

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“…Except for the recent measurements at the sub-THz frequencies [52], the rest of the THz channel modeling work is driven by ray tracing [82]- [84] or statistical channel modeling [50], [85]- [91]. In particular, a statistical model for THz channel based on a universal stochastic spatiotemporal model has been introduced in [86] for indoor channels ranging from 275 GHz to 325 GHz.…”

Section: E Channel Modelsmentioning

confidence: 99%

Millimeter-wave and Terahertz Spectrum for 6G Wireless

Tripathi¹,

Sabu²,

Gupta³

et al. 2021

Preprint

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With the standardization of 5G, commercial millimeter wave (mmWave) communications has become a reality despite all the concerns about the unfavorable propagation characteristics of these frequencies. Even though the 5G systems are still being rolled out, it is argued that their gigabits per second rates may fall short in supporting many emerging applications, such as 3D gaming and extended reality. Such applications will require several hundreds of gigabits per second to several terabits per second data rates with low latency and high reliability, which are expected to be the design goals of the next generation 6G communications systems. Given the potential of terahertz (THz) communications systems to provide such data rates over short distances, they are widely regarded to be the next frontier for the wireless communications research. The primary goal of this chapter is to equip readers with sufficient background about the mmWave and THz bands so that they are able to both appreciate the necessity of using these bands for commercial communications in the current wireless landscape and to reason the key design considerations for the communications systems operating in these bands. Towards this goal, this chapter provides a unified treatment of these bands with particular emphasis on their propagation characteristics, channel models, design and implementation considerations, and potential applications to 6G wireless. A brief summary of the current standardization activities related to the use of these bands for commercial communications applications is also provided.

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“…In [45], a new two-path channel model was proposed in the 275-400 GHz band, which is composed of the LoS path and one reflected path. In addition, the work in [82] presented an analytical model for a THz multipath channel, which analytically derives the number of multipath components and the probability of the LoS.…”

Section: Multipath 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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Stochastic multipath channel modeling and power delay profile analysis for terahertz-band communication

Cited by 12 publications

References 16 publications

An Overview of Signal Processing Techniques for Terahertz Communications

An Overview of Signal Processing Techniques for Terahertz Communications

Millimeter-wave and Terahertz Spectrum for 6G Wireless

THz channel modeling: Consolidating the road to THz communications

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