Influence of Noise-Limited Censored Path Loss on Model Fitting and Path Loss-Based Positioning [PDF]
Sensors, 2021 Positioning is considered one of the key features in various novel industry verticals in future radio systems. Since path loss (PL) or received signal strength-based measurements are widely available in the majority of wireless standards, PL-based ...
Aki Karttunen +2 more
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A Deep Neural Network-Based Multi-Frequency Path Loss Prediction Model from 0.8 GHz to 70 GHz [PDF]
Sensors, 2021 Large-scale fading models play an important role in estimating radio coverage, optimizing base station deployments and characterizing the radio environment to quantify the performance of wireless networks.
Chi Nguyen, Adnan Ahmad Cheema
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Explainable Deep-Learning-Based Path Loss Prediction from Path Profiles in Urban Environments
Applied Sciences, 2021 This paper applies a deep learning approach to model the mechanism of path loss based on the path profile in urban propagation environments for 5G cellular communication systems.
Rong-Terng Juang
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Path Loss Modeling for RIS-Assisted Wireless Communication in Tunnel Scenarios [PDF]
SensorsAiming to address the problem of limited transmission distance in applying reconfigurable intelligent surface (RIS) technology, this study leverages a tunnel simulation platform to investigate RIS-assisted wireless communication systems.
Qi Yang +6 more
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Path Loss Prediction Based on Machine Learning Techniques: Principal Component Analysis, Artificial Neural Network, and Gaussian Process [PDF]
Sensors, 2020 Although various linear log-distance path loss models have been developed for wireless sensor networks, advanced models are required to more accurately and flexibly represent the path loss for complex environments.
Han-Shin Jo +4 more
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Path Loss Modeling for Vehicle-to-Vehicle Communications [PDF]
IEEE Transactions on Vehicular Technology, 2011 Vehicle-to-vehicle (V2V) communications have received increasing attention lately, but there is a lack of reported results regarding important quantities such as path loss. This paper presents parameterized path loss models for V2V communications based on extensive sets of measurement data collected mainly under line-of-sight conditions in four ...
Andreas Molisch +2 more
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Comparative assessment of data obtained using empirical models for path loss predictions in a university campus environment [PDF]
Data in Brief, 2018 Empirical models are most widely used for path loss predictions because they are simple, easy to use, and require less computational efficiency when compared to deterministic models.
Segun I. Popoola +2 more
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Characterization of Path Loss and Large-Scale Fading for Rapid Intervention Team Communication in Underground Parking Garages [PDF]
Sensors, 2019 This paper reports the characterization of the 2.45-GHz-ISM-band radio wave propagation channel. Specifically, measurements were performed in an underground parking garage, with the aim of optimizing breadcrumb systems for a Rapid Intervention Team ...
Seppe Van Brandt +4 more
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Deterministic 5G mmWave Large-Scale 3D Path Loss Model for Lagos Island, Nigeria
IEEE Access, 2021 5G millimeter wave (mmWave) application in mobile connectivity to realize high-speed, reliable communication is attributed with high path loss. This paper presents a detailed 3D ray-tracing technique at 28 GHz for Lagos Island to investigate five unique ...
Simon K. Hinga, Aderemi A. Atayero
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Analisis Prediksi Path Loss Teknologi Seluler 5G Pada Sel Micro Urban Wilayah Kota Bandung
Jurnal Elkomika, 2021 ABSTRAK Implementasi teknologi seluler 5G di Indonesia perlu dilakukan kajian dalam beberapa aspek. Analisis nilai path loss pada sistem seluler merupakan pendekatan dalam aspek large scale fading untuk menghitung cakupan layanan.
DWI ARYANTA
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