Influence of Noise-Limited Censored Path Loss on Model Fitting and Path Loss-Based Positioning. [PDF]
Sensors (Basel), 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 ...
Karttunen A, Valkama M, Talvitie J.
europepmc +7 more sources
A Deep Neural Network-Based Multi-Frequency Path Loss Prediction Model from 0.8 GHz to 70 GHz. [PDF]
Sensors (Basel), 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.
Nguyen C, Cheema AA.
europepmc +4 more sources
Path Loss Prediction based on Machine Learning Techniques: Principal Component Analysis, Artificial Neural Network and Gaussian Process. [PDF]
Sensors (Basel), 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.
Jo HS, Park C, Lee E, Choi HK, Park J.
europepmc +4 more sources
Comprehensive Design and Propagation Study of a Compact Dual Band Antenna for Healthcare Applications [PDF]
Journal of Sensor and Actuator Networks, 2015 In this paper, a dual band planar inverted F antenna (PIFA) has been investigated for cooperative on- and off-body communications. Free space and on-body performance parameters like return loss, bandwidth, radiation pattern and efficiency of this antenna
Mohammad Monirujjaman Khan +2 more
doaj +4 more sources
Comparative Analysis of Major Machine-Learning-Based Path Loss Models for Enclosed Indoor Channels. [PDF]
Sensors (Basel), 2022 Unlimited access to information and data sharing wherever and at any time for anyone and anything is a fundamental component of fifth-generation (5G) wireless communication and beyond.
Elmezughi MK +3 more
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Modeling In vivo Wireless Path Loss
, 2014 Our long-term research goal is to model the in vivo wireless channel. As a first step towards this goal, in this paper we performed in vivo path loss measurements at 2.4GHz and make a comparison with free space path loss. We calculate the path loss by using the electric field radiated by a Hertzian-Dipole located inside the abdominal cavity.
Liu, Yang +3 more
openaire +3 more sources
A Multiwall Path-Loss Prediction Model Using 433 MHz LoRa-WAN Frequency to Characterize Foliage's Influence in a Malaysian Palm Oil Plantation Environment. [PDF]
Sensors (Basel), 2022 Palm oil is the main cash crop of tropical Asia, and the implementation of LPWAN (low-power wide-area network) technologies for smart agriculture applications in palm oil plantations will benefit the palm oil industry in terms of making more revenue ...
Anzum R +7 more
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Comparative assessment of data obtained using empirical models for path loss predictions in a university campus environment. [PDF]
Data 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.
Popoola SI, Atayero AA, Popoola OA.
europepmc +2 more sources
An Optimization Coverage Strategy for Wireless Sensor Network Nodes Based on Path Loss and False Alarm Probability. [PDF]
Sensors (Basel)In existing coverage challenges within wireless sensor networks, traditional sensor perception models often fail to accurately represent the true transmission characteristics of wireless signals. In more complex application scenarios such as warehousing,
Guo J, Sun Y, Liu T, Li Y, Fei T.
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A Path Loss and Shadowing Model for Multilink Vehicle-to-Vehicle Channels in Urban Intersections. [PDF]
Sensors (Basel), 2018 The non line-of-sight (NLOS) scenario in urban intersections is critical in terms of traffic safety—a scenario where Vehicle-to-Vehicle (V2V) communication really can make a difference by enabling communication and detection of vehicles around ...
Nilsson MG +3 more
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