The results show that our trained MLP-trained models can simultaneously sense multiple indoor human radio-blockage directions at an average F1 score of 0.84 and ...
The results show that our trained MLP-trained models can simultaneously sense multiple indoor human radio- blockage directions at an average F1 score of 0.84 ...
Jun 1, 2023 · Millimeter wave (mmWave) beamforming is a vital component of the fifth generation (5G) new radio (NR) and beyond wireless communication ...
The results show that our trained MLP-trained models can simultaneously sense multiple indoor human radio-blockage directions at an average F1 score of 0.84 and ...
A multi layer perceptron (MLP) framework is designed to analyze the HuMRaBD dataset and the results show that trained MLP-trained models can simultaneously ...
Current device-free WiFi sensing approaches use vendor-specific channel state information to obtain fine-grained human blockage predictions. Our novelty in this ...
Learning Human-Blockage Direction Prediction from Indoor mmWave Radio Measurements. P. Susarla, M. Jokinen, N. Tervo, M. Leinonen, M. López, M. Juntti, ...
Publications · Learning Human-Blockage Direction Prediction from Indoor mmWave Radio Measurements ...
mmWave radio-blockage MLP prediction for no human, static...
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We evaluate the trained MLP model performance by comparing the blockage direction predictions against the ground truth in the form of a classification report ...
Dec 18, 2024 · This paper introduces a novel method for predicting blockages in millimeter-wave (mmWave) communication systems towards enabling reliable ...