Emerging Terahertz Technologies for Integrated Sensing and Communication

Abstract submission deadline

closed (30 April 2024)

Manuscript submission deadline

closed (31 July 2024)

Viewed by

9214

Topic Information

Dear Colleagues,

The terahertz (THz) band is envisioned as one of the key technologies in supporting 6G smart lives in the future, where the biophysical world and digital world will be integrated with an intelligent connection between everything. Its characteristics, such as small device size, strong sensing ability, ultra-high data rate up to Tbit/s, and high security at the physical layer, demonstrate its potential for the integration of sensing and communication (ISAC). By unitizing software and/or hardware resources (waveform, spectrum, antenna, system, etc.), THz ISAC has shown its unique superiority in improving communication efficiency and perceptual sensitivity (positioning enhancement, posture recognition, etc.) with low resource consumption. This proposed Topic aims to capture the latest advances in terahertz techniques for the integration of sensing and communication. Review and original research articles on theoretical methods, applicative techniques, as well as new advanced methodologies for relevant scenarios, are very welcome. We hope that, by reading this Topic, that readers will understand how the terahertz band can be applied in sensing, communication and other fields.

The potential topics include, but are not limited to: Terahertz ISAC system designs; Transceivers and components for terahertz systems; New device technologies, architectures, and demonstrators for terahertz ISAC systems; Terahertz antenna systems and arrays; Ultra-massive MIMO architectures and control algorithms; Waveform design and beamforming for terahertz ISAC; THz imaging, positioning/localization, and THz spectroscopy; Ultra-broadband digital signal processing architectures and algorithms; Terahertz channel propagation and models; Health risks and evaluation for terahertz illumination; AI-assisted terahertz ISAC system design and application.

Prof. Dr. Jianjun Ma
Dr. Xiue Bao
Dr. Bin Li
Dr. Suman Mukherjee
Topic Editors

Keywords

Participating Journals

Journal Name	Impact Factor	CiteScore	Launched Year	First Decision (median)	APC
Applied Sciences applsci	2.5	5.3	2011	18.4 Days	CHF 2400
Electronics electronics	2.6	5.3	2012	16.4 Days	CHF 2400
Photonics photonics	2.1	2.6	2014	14.9 Days	CHF 2400
Remote Sensing remotesensing	4.2	8.3	2009	23.9 Days	CHF 2700
Technologies technologies	4.2	6.7	2013	21.1 Days	CHF 1600

Preprints.org is a multidisciplinary platform offering a preprint service designed to facilitate the early sharing of your research. It supports and empowers your research journey from the very beginning.

MDPI Topics is collaborating with Preprints.org and has established a direct connection between MDPI journals and the platform. Authors are encouraged to take advantage of this opportunity by posting their preprints at Preprints.org prior to publication:

1. Share your research immediately: disseminate your ideas prior to publication and establish priority for your work.
2. Safeguard your intellectual contribution: Protect your ideas with a time-stamped preprint that serves as proof of your research timeline.
3. Boost visibility and impact: Increase the reach and influence of your research by making it accessible to a global audience.
4. Gain early feedback: Receive valuable input and insights from peers before submitting to a journal.
5. Ensure broad indexing: Web of Science (Preprint Citation Index), Google Scholar, Crossref, SHARE, PrePubMed, Scilit and Europe PMC.

Published Papers (5 papers)

Order results

Content type Publication Date

Result details

Normal Extended Compact

Journals

All Applied Sciences Electronics Photonics Remote Sensing Technologies

Show export options expand_more Show export options expand_less

Select all

Export citation of selected articles as:

Plain Text BibTeX BibTeX (without abstracts) Endnote Endnote (without abstracts) Tab-delimited RIS

Error

Oops... you haven't selected anything for export.

Ok

clear

14 pages, 549 KiB  

Open AccessCommunication

Joint Constant-Modulus Waveform and RIS Phase Shift Design for Terahertz Dual-Function MIMO Radar and Communication System

by Rui Yang, Hong Jiang and Liangdong Qu

Remote Sens. 2024, 16(16), 3083; https://doi.org/10.3390/rs16163083 - 21 Aug 2024

Cited by 1 | Viewed by 1331

Abstract

This paper considers a terahertz (THz) dual-function multi-input multi-output (MIMO) radar and communication system with the assistance of a reconfigurable intelligent surface (RIS) and jointly designs the constant modulus (CM) waveform and RIS phase shifts. A weighted optimization scheme is presented, to minimize [...] Read more.

This paper considers a terahertz (THz) dual-function multi-input multi-output (MIMO) radar and communication system with the assistance of a reconfigurable intelligent surface (RIS) and jointly designs the constant modulus (CM) waveform and RIS phase shifts. A weighted optimization scheme is presented, to minimize the weighted sum of three objectives, including communication multi-user interference (MUI) energy, the negative of multi-target illumination power and the MIMO radar waveform similarity error under a CM constraint. For the formulated non-convex problem, a novel alternating coordinate descent (ACD) algorithm is introduced, to transform it into two subproblems for waveform and phase shift design. Unlike the existing optimization algorithms that solve each subproblem by iteratively approximating the optimal solution with iteration stepsize selection, the ACD algorithm can alternately solve each subproblem by dividing it into multiple simpler problems, to achieve closed-form solutions. Our numerical simulations demonstrate the superiorities of the ACD algorithm over the existing methods. In addition, the impacts of the weighting coefficients, RIS and channel conditions on the radar communication performance of the THz system are analyzed. Full article

(This article belongs to the Topic Emerging Terahertz Technologies for Integrated Sensing and Communication)

►▼ Show Figures

Figure 1

12 pages, 4819 KiB  

Open AccessArticle

High-Speed Surface Property Recognition with a 140 GHz Frequency

by Jiacheng Liu, Da Li, Guohao Liu, Yige Qiao, Menghan Wei, Chengyu Zhang and Jianjun Ma

Appl. Sci. 2024, 14(10), 4321; https://doi.org/10.3390/app14104321 - 20 May 2024

Cited by 3 | Viewed by 982

Abstract

In the field of integrated sensing and communication, there is a growing need for advanced environmental perception. The terahertz (THz) frequency band, significant for ultra-high-speed data connections, shows promise in environmental sensing, particularly in detecting surface textures crucial for autonomous systems’ decision-making. However, [...] Read more.

In the field of integrated sensing and communication, there is a growing need for advanced environmental perception. The terahertz (THz) frequency band, significant for ultra-high-speed data connections, shows promise in environmental sensing, particularly in detecting surface textures crucial for autonomous systems’ decision-making. However, traditional numerical methods for parameter estimation in these environments struggle with accuracy, speed, and stability, especially in high-speed scenarios like vehicle-to-everything communications. This study introduces a deep learning approach for identifying surface roughness using a 140-GHz setup tailored for such conditions. A high-speed data acquisition system was developed to mimic real-world scenarios, and a diverse set of rough surface samples was prepared for realistic high-speed datasets to train the models. The model was trained and validated in three challenging scenarios: random occlusions, sparse data, and narrow-angle observations. The results demonstrate the method’s effectiveness in high-speed conditions, suggesting terahertz frequencies’ potential in future sensing and communication applications. Full article

(This article belongs to the Topic Emerging Terahertz Technologies for Integrated Sensing and Communication)

►▼ Show Figures

Figure 1

17 pages, 3600 KiB  

Open AccessArticle

Real Aperture Continuous Terahertz Imaging System and Spectral Refinement Method

by Kailiang Xue, Wenna Zhang, Zhaoba Wang, Yong Jin, Xin Guo and Youxing Chen

Photonics 2023, 10(9), 1020; https://doi.org/10.3390/photonics10091020 - 6 Sep 2023

Cited by 2 | Viewed by 1642

Abstract

In order to meet the increasing demand of non-destructive testing (NDT) in engineering practice, a continuous terahertz NDT platform based on linear scanning has been developed, with a center frequency of 154 GHz and a bandwidth of 56 GHz. This system combines frequency [...] Read more.

In order to meet the increasing demand of non-destructive testing (NDT) in engineering practice, a continuous terahertz NDT platform based on linear scanning has been developed, with a center frequency of 154 GHz and a bandwidth of 56 GHz. This system combines frequency modulation continuous wave (FMCW) radar technology with a continuous scanning structure, as well as a data acquisition platform to provide a non-contact detection method; this is highly efficient and compensates for the shortcomings of traditional methods such as microwave, X-ray, ultrasonic, and others in safety inspection and special detection. In addition, a signal processing method of spectral refinement and correction is proposed in this paper for accurate thickness measurement. The results show that the method has a high accuracy for ABS, PVC, and ceramic matrix composites. By extracting the characteristic parameters, the detection and imaging of prefabricated defects, such as debonding and bubbles in composite materials, have been successfully achieved. This helps to evaluate the internal state of the inspected object more intuitively and further meets the requirements of industrial NDT. Full article

(This article belongs to the Topic Emerging Terahertz Technologies for Integrated Sensing and Communication)

►▼ Show Figures

Figure 1

18 pages, 3608 KiB  

Open AccessFeature PaperArticle

Evaluation of the Efficiency of Generation of Terahertz Surface Plasmon Polaritons by the End-Fire Coupling Technique

by Vasily Valerievich Gerasimov, Alexey Konstantinovich Nikitin, Alexey Georgievich Lemzyakov and Ivan Aleksandrovich Azarov

Photonics 2023, 10(8), 917; https://doi.org/10.3390/photonics10080917 - 9 Aug 2023

Cited by 3 | Viewed by 1436

Abstract

One of the most important problems in the plasmonics of the terahertz (THz) range, which is actively developing now, is the efficient generation of surface plasmon polaritons (SPPs). The simplest and most promising technological technique of photon excitation of THz SPPs is through [...] Read more.

One of the most important problems in the plasmonics of the terahertz (THz) range, which is actively developing now, is the efficient generation of surface plasmon polaritons (SPPs). The simplest and most promising technological technique of photon excitation of THz SPPs is through diffraction of radiation on the edge of the conducting surface of the sample (the end-fire coupling technique). In this paper, we experimentally evaluated the efficiency of the generation of monochromatic THz SPPs (λ₀ = 141 μm) by this method with a sample in the form of a cylindrical segment, the convex surface of which has a gold layer coated by zinc sulfide (ZnS) with thickness d = 0–2 µm. Such configuration of the surface supporting the SPPs not only shields the detector from parasitic bulk waves arising during diffraction but also enables one to change the distribution of the SPP field in the air by varying the coating layer thickness d. On an uncoated gold surface, the SPP generation efficiency was η ≈ 20%. In the presence of a ZnS layer on the gold, the SPP generation efficiency gradually increased with d, reached the maximum (η_max ≈ 60%) at d ≈ 1 μm, and then gradually decreased. Theoretical analysis showed that the efficiency of the SPP generation can be raised up to 80% due to the selection of an optimal SPP field profile via variation of the thickness of the dielectric layer on the metal surface, as well as with optimal incidence of the focused radiation on the edge of the sample. Full article

(This article belongs to the Topic Emerging Terahertz Technologies for Integrated Sensing and Communication)

►▼ Show Figures

Figure 1

13 pages, 5883 KiB  

Open AccessArticle

A Compact Hybrid G-band Heterodyne Receiver Integrated with Millimeter Microwave Integrated Circuits and Schottky Diode-Based Circuits

by Kun Huang, Liang Zhang, Ruoxue Li, Yaoling Tian, Yue He, Jun Jiang, Xianjin Deng and Wei Su

Electronics 2023, 12(13), 2806; https://doi.org/10.3390/electronics12132806 - 25 Jun 2023

Cited by 3 | Viewed by 1526

Abstract

This paper presents a compact hybrid G-band (170–260 GHz) heterodyne receiver module incorporating both Millimeter Microwave Integrated Circuits (MMICs) and a Schottky diode-based circuit. An on-chip sextupler and a Low Noise Amplifier (LNA), along with a diode-based Sub-Harmonic Mixer (SHM), are integrated into [...] Read more.

This paper presents a compact hybrid G-band (170–260 GHz) heterodyne receiver module incorporating both Millimeter Microwave Integrated Circuits (MMICs) and a Schottky diode-based circuit. An on-chip sextupler and a Low Noise Amplifier (LNA), along with a diode-based Sub-Harmonic Mixer (SHM), are integrated into the demonstrated singular module, which is carefully designed and arranged with the co-simulations in electromagnetic and thermal domain. Through this methodology, a terahertz receiver module is fabricated with a volume of only 27 × 20 × 20 mm³. The measured results indicate that the double-sideband conversion gain of the receiver is 10.5–17.5 dB from 195 GHz to 230 GHz, while the noise temperature is 1009–1158 K. As a result, this terahertz receiver provides recorded miniaturized hardware applicable for terahertz Integration of Sensing and Communication (ISAC) systems. Full article

(This article belongs to the Topic Emerging Terahertz Technologies for Integrated Sensing and Communication)

►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less

Select all

Export citation of selected articles as:

Plain Text BibTeX BibTeX (without abstracts) Endnote Endnote (without abstracts) Tab-delimited RIS

 

Error

Oops... you haven't selected anything for export.

Ok

clear

Displaying articles 1-5