Spatio-Temporal Coherence of mmWave/THz Channel Characteristics and Their Forecasting Using Video Frame Prediction Techniques

Editorial Material Multidisciplinary Sciences

Signal processing for RIS-assisted millimeter-wave/terahertz communications

Wei Wang et al.

Summary: The model-free and learning-based configuration of RIS is a new signal processing paradigm designed to address the challenges of incorporating RIS in millimeter wave/Terahertz communications.

NATIONAL SCIENCE REVIEW (2023)

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Article Mathematics

Optimizing Service Areas in 6G mmWave/THz Systems with Dual Blockage and Micromobility

Elizaveta Golos et al.

Summary: The modern 5G millimeter wave (mmWave) and future terahertz (THz) radio access technologies heavily use beamforming and face similar challenges with non-elastic traffic and blockage phenomena. Multiconnectivity is effective in improving service reliability by dynamically handing over sessions between the two technologies. This article investigates association strategies in collocated mmWave/THz deployments and evaluates the impact of antenna arrays. Results show that accepting sessions to THz base stations is preferable with multiconnectivity, but extending THz base station coverage has minimal performance impact.

MATHEMATICS (2023)

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Article Engineering, Electrical & Electronic

User Association and Multi-Connectivity Strategies in Joint Terahertz and Millimeter Wave 6G Systems

Eduard Sopin et al.

Summary: This paper analyzes and compares user association schemes and multi-connectivity strategies for joint 6G THz/mmWave deployments, and develops a unified analytically tractable framework. The results show the impact of blockage phenomenon and the benefits of THz/mmWave multi-connectivity.

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2022)

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Article Computer Science, Information Systems

Pointing Error Modeling of mmWave to THz High-Directional Antenna Arrays

Mohammad Taghi Dabiri et al.

Summary: This letter provides an analytical framework for quantifying and evaluating pointing errors in high-frequency millimeter wave and terahertz communication links. The channel of a point-to-point communication link between unstable transmitter (Tx) and receiver (Rx) is characterized, and the probability density function (PDF) and cumulative distribution functions (CDF) of the pointing error are derived as a function of the antennas' pattern. The accuracy of the analytical expressions is verified through Monte-Carlo simulations, and the system performance is studied.

IEEE WIRELESS COMMUNICATIONS LETTERS (2022)

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Proceedings Paper Computer Science, Information Systems

A Multi-Task Learning Model for Super Resolution of Wireless Channel Characteristics

Xiping Wang et al.

Summary: This paper proposes a novel super resolution model for generating channel characteristics data, utilizing multi-task learning and residual connections in convolutional neural networks. Experimental results demonstrate that the proposed model achieves excellent performances in mean absolute error and standard deviation of error, outperforming other state-of-the-art deep learning models. Ablation study further proves the necessity of multi-task learning and techniques in model design. The contribution of this paper lies in its potential to reduce the workload of simulation or measurement, thus assisting channel modeling, network optimization, positioning, and other wireless channel characteristics related work.

2022 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM 2022) (2022)

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Article Computer Science, Information Systems

A Tutorial on Mathematical Modeling of 5G/6G Millimeter Wave and Terahertz Cellular Systems

Dmitri Moltchanov et al.

Summary: This tutorial introduces a versatile mathematical methodology for assessing performance reliability improvement algorithms for mmWave and THz systems. The methodology takes into account the specifics of the radio interface and the service process at mmWave/THz base stations, and is capable of evaluating system performance with multi-connectivity operation and different service requirements.

IEEE COMMUNICATIONS SURVEYS AND TUTORIALS (2022)

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Article Geography, Physical

Convolutional neural network and long short-term memory models for ice-jam predictions

Fatemehalsadat Madaeni et al.

Summary: Ice jams in cold regions can cause severe floods and property damage. This research successfully applies deep learning and machine learning methods to predict ice jam formation, with the deep learning models achieving better performance, especially the CNN-LSTM model.

CRYOSPHERE (2022)

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Article Computer Science, Information Systems

Data-Driven Beam Tracking for Mobile Millimeter-Wave Communication Systems Without Channel Estimation

Yuan Ma et al.

Summary: Fast beam tracking is crucial for ensuring the reliability of millimeter-wave communication during user mobility. A data-driven approach is proposed to optimize beamforming vectors based on real-time measurement data rather than prior knowledge. Numerical analysis demonstrates that this method can achieve reliable tracking performance in a shorter time compared to traditional schemes.

IEEE WIRELESS COMMUNICATIONS LETTERS (2021)

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Article Engineering, Electrical & Electronic