Deep Learning-Based Automatic Modulation Format Identification For I2V Visible Light Communication
Author:
Affiliation:
1. Menoufia University,Faculty of Electronic Engineering,Department of Electronics and Electrical Communications Engineering,Menouf,Egypt,32952
2. Khalifa University,Department of Computer and Communication Engineering,Abu Dhabi,UAE
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10510498/10510465/10510466.pdf?arnumber=10510466
Reference29 articles.
1. Vehicular Visible Light Communications: A Survey
2. Visible Light Communication for Vehicular Networking: Performance Study of a V2V System Using a Measured Headlamp Beam Pattern Model
3. Visible Light Communication for Connected Vehicles: How to Achieve the Omnidirectional Coverage?
4. Performance evaluation of vehicular Visible Light Communication based on angle-oriented receiver
5. Enhancement of Vehicular Visible Light Communication Using Spherical Detector and Custom Lens Combinations
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