Abstract:
This paper introduces an accurate and efficient urban area 5th Generation millimeter wave path loss model using 3D Convolutional Neural Network (CNN). In this paper, we d...Show MoreMetadata
Abstract:
This paper introduces an accurate and efficient urban area 5th Generation millimeter wave path loss model using 3D Convolutional Neural Network (CNN). In this paper, we describe how to create a 3D image that is mainly used as an input for a 3D-CNN, and what are the model structures and hyperparameters used. The proposed path loss prediction model achieved a final Root Mean Square Error (RMSE) of 5.84 dBm.
Date of Conference: 12-15 January 2022
Date Added to IEEE Xplore: 26 January 2022
ISBN Information:
Print on Demand(PoD) ISSN: 1976-7684