Statistical Analysis of Radio Propagation Channel in Ruins Environment by Jiao He, Er-Ping Li, Sai-Qiong Zhou, Kun Liao

“…This paper presents a spatial smoothing estimation via rotational invariance technique (SS-ESPRIT) for radio channel characterization of high density ruins. The radio propagations at three typical mobile communication bands (0.9, 1.8, and 2 GHz) are investigated in two different scenarios. …”
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Path Loss Channel Model for Inland River Radio Propagation at 1.4 GHz by Junyi Yu, Wei Chen, Kun Yang, Changzhen Li, Fang Li, Yishui Shui

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Parabolic Equation Accumulated Split Error and Its Correction Method for Tropospheric Radio Propagation by Peipei Wei, Xiaoyan Du, Xinwei Hu, Changyin Jiang

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MapFuse: Complete and Realistic 3D Modelling by Michiel Aernouts, Ben Bellekens, Maarten Weyn

“…Validating a 3D indoor radio propagation model that simulates the signal strength of a wireless device can be a challenging task due to an incomplete or a faulty environment model. …”
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Tropospheric Ducting: A Comprehensive Review and Machine Learning-Based Classification Advancements by Mohammed Banafaa, Ali Hussein Muqaibel

“…We present a comprehensive review of radio propagation in tropospheric ducts, encompassing fundamental concepts, theoretical models, and estimation techniques. …”
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Novel Method for 5G Systems NLOS Channels Parameter Estimation by Vladeta Milenkovic, Stefan Panic, Dragan Denic, Dragan Radenkovic

“…For the development of new 5G systems to operate in mm bands, there is a need for accurate radio propagation modelling at these bands. In this paper novel approach for NLOS channels parameter estimation will be presented. …”
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Butterfly Distribution of Relativistic Electrons Driven by Parallel Propagating Lower Band Whistler Chorus Waves by S. Saito, Y. Miyoshi

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Statistical and Physical Descriptions of Raindrop Size Distributions in Equatorial Malaysia from Disdrometer Observations by Hong Yin Lam, Jafri Din, Siat Ling Jong

“…These results not only offer a better understanding of the microphysical nature of precipitation in this heavy rain region but also provide essential information that may be useful for the scientific community regarding remote sensing and radio propagation.…”
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Quantitative Measurement of Path Loss Model Adaptation Using the Least Squares Method in an Urban DVB-T2 System by Pitak Keawbunsong, Sarun Duangsuwan, Pichaya Supanakoon, Sathaporn Promwong

“…The aim of this paper was to propose quantitative measurement of path loss model adaptation in urban radio propagation for a second-generation, terrestrial digital video broadcasting standard (DVB-T2) system. …”
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Dynamic Beamforming for Three-Dimensional MIMO Technique in LTE-Advanced Networks by Yan Li, Xiaodong Ji, Dong Liang, Yuan Li

“…Three-dimensional MIMO (3D MIMO) is introduced as a promising technique in massive MIMO networks to enhance the cellular performance by deploying antenna elements in both horizontal and vertical dimensions. Radio propagation of user equipments (UE) is considered only in horizontal domain by applying 2D beamforming. …”
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Diffuse Scattering Directive Model Parameterization Method for Construction Materials at mmWave Frequencies by Ming-Hao Ren, Xi Liao, Jihua Zhou, Yang Wang, Yu Shao, Shasha Liao, Jie Zhang

“…The determination for diffuse scattering model parameters is of critical importance to improve the accuracy of prediction and analysis for millimeter-wave radio propagation. In this paper, a reliable parameterization method with a simplified tuning procedure for a diffuse scattering model is proposed and validated based on measurements and ray-tracing simulations. …”
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Design and performance analysis of wireless body area networks in complex indoor e-Health hospital environments for patient remote monitoring by Erik Aguirre, Peio Lopez-Iturri, Leyre Azpilicueta, Carmen Rivarés, José Javier Astrain, Jesús Villadangos, Francisco Falcone

“…Ensuring good performance of the deployed wireless networks in this kind of environment is mandatory and obtaining accurate radio propagation estimations by means of a computationally efficient algorithm is a key issue. …”
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Anomaly Detection in High Mobility MDT Traces Through Self-Supervised Learning by J. M. Sanchez-Martin, C. Gijon, M. Toril, S. Luna-Ramirez, V. Wille

“…For this purpose, Minimization of Drive Test (MDT) functionality provides mobile operators with georeferenced network performance statistics to tune radio propagation models in re-planning tools. However, some samples in MDT traces contain critical location errors due to the user equipment's energy-saving, thus making MDT data filtering vital to guarantee an adequate performance of MDT-driven algorithms. …”
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