Article
Engineering, Electrical & Electronic
Jia Ye, Shuping Dang, Guoqing Ma, Osama Amin, Basem Shihada, Mohamed-Slim Alouini
Summary: This paper analyzes the outage performance of terahertz communication systems using a compound channel model, which incorporates various factors affecting the performance. The proposed model achieves a balance between mathematical tractability and realistic channel representation. Additionally, a maximum likelihood estimation-based approach is designed for channel parameter estimation. The analytical results are presented in closed form and verified through numerical experiments.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2022)
Article
Engineering, Electrical & Electronic
Jinbang Fu, Erik J. J. Jorgensen, Prateek Juyal, Alenka Zajic
Summary: This article proposes a ResNet-based feature concatenated neural network model to predict the scenario type and attribute with PDP as the inputs. The model consists of three blocks for feature extraction, scenario prediction, and attribute prediction. Data augmentation is used to expand the measured dataset for training and evaluation. The proposed model performs well on the expanded dataset with almost 100% accuracy, while the MLP-based model shows degradation on attribute prediction.
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
(2023)
Article
Engineering, Electrical & Electronic
Ziwei Wan, Zhen Gao, Feifei Gao, Marco Di Renzo, Mohamed-Slim Alouini
Summary: In the field of terahertz communication, holographic reconfigurable intelligent surfaces (RIS) can achieve holographic communication with practical hardware architecture and higher performance advantages. Meanwhile, for THz massive MIMO systems, a closed-loop channel estimation (CE) scheme is proposed to effectively estimate channels, and compressive sensing technique is introduced to reduce pilot overhead.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2021)
Article
Engineering, Electrical & Electronic
Kursat Tekbyk, Ali Rza Ekti, Gunes Karabulut Kurt, Ali Gorcin, Serhan Yarkan
Summary: This study proposes a Gamma mixture based channel modeling for the THz band using the expectation-maximization (EM) algorithm, providing a more accurate approach to characterize THz wireless channels. The method is validated using error metrics and statistical tests on measurement data, showing that the mixture of Gamma distributions fits well with the actual data.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2021)
Article
Engineering, Electrical & Electronic
Leyre Azpilicueta, Alper Schultze, Mikel Celaya-Echarri, Fidel A. Rodriguez-Corbo, Costas Constantinou, Raed M. Shubair, Francisco Falcone, Miguel Navarro-Cia
Summary: This article addresses the challenges of modeling scattering and atmospheric absorption in the terahertz frequency band by measuring the dielectric properties of common building and office materials and developing a 3D ray-launching algorithm. The proposed channel model approach has been validated through simulations and measurements, providing valuable knowledge for the development of ultrahigh-speed wireless communication systems.
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
(2023)
Article
Engineering, Electrical & Electronic
Joonas Kokkoniemi, Josep M. Jornet, Vitaly Petrov, Yevgeni Koucheryavy, Markku Juntti
Summary: The challenge of maintaining reliable and high-rate wireless connection in airplanes due to the long distance from satellites and ground base stations is being addressed through research on the feasibility of using the terahertz band for aviation. The study suggests that terahertz links in the aviation sector may achieve speeds ranging from 50-150 Gbps, enabling passengers and staff to access cellular-equivalent data rates during the entire flight.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2021)
Article
Engineering, Electrical & Electronic
Yuanbo Li, Yi Chen, Dong Yan, Ke Guan, Chong Han
Summary: To support intelligent vehicular services, high-speed communications from vehicles to infrastructure (V2I) are needed in vehicular ad-hoc networks (VANET). The Terahertz (THz) band, which has abundant spectrum resources, is considered promising for this purpose. However, channel modeling for THz V2I communications is a challenge. In this paper, ray-tracing techniques are used to analyze the V2I channel at 300 GHz in an urban scenario, and a novel ray-tracing assisted stochastic channel model (RTA-SCM) is proposed.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Mathematics
Benedetta Picano
Summary: This paper models the probabilistic end-to-end delay bound for virtual reality services in the presence of heterogeneous traffic flows using stochastic network calculus principles, showing network performance analysis under different scheduling policies and multiple traffic flows, with confirmed validity of theoretical bounds when considering concurrent traffic flows with heterogeneous quality-of-service constraints.
Article
Engineering, Electrical & Electronic
Nour Kouzayha, Mustafa A. A. Kishk, Hadi Sarieddeen, Mohamed-Slim Alouini, Tareq Y. Y. Al-Naffouri
Summary: This article investigates the application of wireless communication in the Terahertz frequency band and explores the use of both radio frequency (RF) and Terahertz (THz) networks to solve the coverage problem in THz communications. The performance of coexisting RF and THz networks is evaluated using stochastic geometry tools, and tractable analytical expressions for coverage probability and average achievable rate are derived. The results highlight a trade-off between coverage rate and user location in optimizing THz access point deployment for quality of service.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2023)
Article
Computer Science, Information Systems
Demos Serghiou, Mohsen Khalily, Tim W. C. Brown, Rahim Tafazolli
Summary: This paper examines the channel propagation characteristics, measurement capabilities, and modeling techniques for 6G communication applications in the Terahertz band. It provides guidelines and recommendations based on recent measurement campaigns and modeling efforts, and discusses the challenges and limitations of measurement and modeling at such high frequencies. The paper also contemplates the future research outlook towards realizing the vision of 6G.
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS
(2022)
Article
Computer Science, Information Systems
Chao Wang, Young Jin Chun
Summary: The Terahertz band offers abundant spectrum resources for ultra-high data rates, but its adoption has been limited due to poor penetrability and coverage. By combining Terahertz and millimeter-wave nodes in a hybrid network, we can overcome these obstacles and enhance network performance. Our analysis of interference and coverage probability reveals how spatial dependence and clustering settings affect network performance, and numerical simulations demonstrate the importance of optimizing parameters like bias ratio, density, and blockage.
Article
Computer Science, Information Systems
Chong Han, Yiqin Wang, Yuanbo Li, Yi Chen, Naveed A. Abbasi, Thomas Kuerner, Andreas F. Molisch
Summary: This article provides a comprehensive overview of the study of THz wireless channels, including measurement methods, modeling methodologies, channel characteristics, and future research directions.
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS
(2022)
Article
Engineering, Electrical & Electronic
Jiao Wu, Seungnyun Kim, Byonghyo Shim
Summary: To support extremely high data rates in 6G wireless networks, reconfigurable intelligent surface (RIS)-assisted terahertz (THz) communications have gained much attention. The RIS can proactively adjust the wireless propagation environment of THz systems, thereby enhancing the overall throughput significantly. Accurate channel information is of great importance to realize the full potential of RIS-assisted THz systems.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2023)
Article
Computer Science, Information Systems
Priyanka Maity, Suraj Srivastava, Sunaina Khatri, Aditya K. Jagannatham
Summary: This paper proposes a dictionary-learning-based sparse channel estimation scheme for multi-user Terahertz hybrid MIMO systems, incorporating non-idealities such as hardware impairments and beam-squint effect. The scheme utilizes a DL algorithm to determine the best sparsifying dictionary and achieves improved performance compared to the agnostic scheme.
Article
Engineering, Electrical & Electronic
Anwen Liao, Zhen Gao, Dongming Wang, Hua Wang, Hao Yin, Derrick Wing Kwan Ng, Mohamed-Slim Alouini
Summary: This paper investigates terahertz Ultra-Massive (UM)-MIMO-based aeronautical communications and proposes an effective channel estimation and tracking scheme to solve the performance degradation problem caused by the unique triple delay-beam-Doppler squint effects of aeronautical terahertz UM-MIMO channels. By utilizing prior-aided iterative algorithms for angle and Doppler shift estimation, and developing a data-aided decision-directed based channel tracking algorithm, the proposed solution effectively mitigates delay-beam squint and Doppler squint, ensuring accurate path delays and channel gains estimation for improved data transmission.
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
(2021)
