Pseudo Ray-Tracing: Deep Leaning Assisted Outdoor mm-Wave Path Loss Prediction
Author:
Affiliation:
1. Department of Computer Science and Technology, University of Cambridge, Cambridge, U.K.
2. Ranplan Wireless Network Design, Luton, U.K.
3. Research and Development Department, Ranplan Wireless, Cambridge, U.K.
Funder
European Commission through the Horizon 2020 Framework Programme
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/5962382/9852353/09774859.pdf?arnumber=9774859
Reference13 articles.
1. An empirical study on using CNNs for fast radio signal prediction;ozyegen;arXiv 2006 09245,2021
2. A Generalized Channel Dataset Generator for 5G New Radio Systems Based on Ray-Tracing
3. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
4. Adam: A method for stochastic optimization;kingma;arXiv 1412 6980,2014
5. Determination of Neural Network Parameters for Path Loss Prediction in Very High Frequency Wireless Channel
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