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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Ionospheric Nowcasting Over Italy Through Data Assimilation: A Synergy Between IRI UP and IONORING by Alessio Pignalberi, Claudio Cesaroni, Marco Pietrella, Michael Pezzopane, Luca Spogli, Carlo Marcocci, Emanuele Pica

“…This approach involves updating the IRI F2‐layer peak electron density description through ionospheric indices, to finally produce real‐time maps over Italy of the ordinary critical frequency of the F2‐layer, foF2, which is crucial for radio‐propagation applications. The IRI UP–IONORING method performance has been evaluated against different climatological and nowcasting models, and under different Space Weather conditions, by showing promising outcomes which encourages its inclusion in the portfolio of ionospheric real‐time products available over Italy. …”
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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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Empirical Models of foF2 and hmF2 Reconstituted by Global Ionosonde and Reanalysis Data and COSMIC Observations by Fuqing Huang, Haibing Ruan, Jiuhou Lei, Jiahao Zhong, Xinan Yue, Guozhu Li, Yiding Chen, Jianhui He, Na Li, Xiaoli Luan, Chao Xiong, Xiankang Dou

“…Abstract The F2‐peak plasma frequency (foF2) and the height of the F2 peak (hmF2) are two of the most important parameters for any ionospheric model, as well as radio propagation studies and applications. In this study, we have developed empirical models to capture the most significant variations of foF2 and hmF2. …”
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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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