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Channel Reconstruction and Path Loss Characterization of Indoor T-Corridors based on Intelligent Reflecting Surface at 300GHz | IEEE Conference Publication | IEEE Xplore

Channel Reconstruction and Path Loss Characterization of Indoor T-Corridors based on Intelligent Reflecting Surface at 300GHz


Abstract:

The unique nature of the high frequencies in the terahertz band (0.1-10 terahertz) makes it impractical to use lower frequency channel models. Therefore, there is an urge...Show More

Abstract:

The unique nature of the high frequencies in the terahertz band (0.1-10 terahertz) makes it impractical to use lower frequency channel models. Therefore, there is an urgent need to develop new channel models to realize the potential of terahertz communications, and a variety of channel measurement methods and measurement environments can accelerate development efforts. Since Intelligent Reflective Surface (IRS) is a potential solution to improve the cost-effectiveness and energy efficiency of sixth generation (6G) wireless communication systems. Therefore, this paper presents a method to implement IRS functionality in a 3D ray-tracing simulator and applies it to a novel indoor T-corridor scenario with no line-of-sight path (NLoS) between the transmitter (Tx) and receiver (Rx). High-resolution 3D measurements are processed at 300 GHz to obtain bidirectional angular delay power spectra as well as delay and angular power distributions, and finally the channel is characterized by path loss. Numerical results show that the incorporation of IRS into wireless communication systems in this scenario can significantly improve the coverage and provide useful insights for optimizing the deployment of IRS in indoor T-corridor scenarios.
Date of Conference: 16-19 August 2024
Date Added to IEEE Xplore: 30 December 2024
ISBN Information:

ISSN Information:

Conference Location: Enshi, China

I. Introduction

Facing the challenge of 6G high-speed transmission re-quirements, the currently adopted frequency bands (e.g., mi-crowave, millimeter wave) can no longer meet the require-ments of wireless communications. The terahertz (THz) band (from 0.1Hz to 10Hz), which provides large bandwidth and realizes up to several terabits per second (Tbqs), has attracted a great deal of attention worldwide[1], [2]. Terahertz waves have numerous advantages, but also some disadvantages that need to be overcome. For example, the high-frequency nature of terahertz waves makes them subject to very severe path losses and molecular absorption losses, resulting in limited communication distances in the THz band[3], [4].Radio frequency planning can be difficult for this reason, especially for non-line-of-sight (NLoS) scenarios. In various indoor corridor environments, the propagation path of terahertz signals is difficult to cover the entire space due to wall corners and excessive obstructions in the way. Therefore, in ultra-high-speed indoor THz communication scenarios, the strong di-rectionality of the terahertz beam causes it to be controlled only at the line-of-sight (LoS) space, while the non-line-of-sight (NLoS) space is hardly covered by terahertz signals[5]. In this context, signal propagation characteristics in various bands of THz frequencies [6], [7] are investigated and studied. Conventional solutions to the coverage problems that arise in terahertz communication systems rely on improving the transmitter and receiver ends of the communication link, for example, there are high power radiation sources, high gain antennas, beam forming designs, adaptive modulation, coding techniques, distance-adaptive waveform design, and bandwidth-adaptive resource allocation [8], [9].

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References

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