Adaptive Channel Switching for Connected Vehicles under Extreme Weather Conditions: A Reinforcement Learning Based Approach
Author:
Affiliation:
1. University of South Carolina,Dept. of Computer Science and Engineering,Columbia,South Carolina,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10555566/10555889/10556125.pdf?arnumber=10556125
Reference13 articles.
1. Deep Learning-Based Path Loss Prediction for Fifth-Generation New Radio Vehicle Communications
2. Enhanced Distributed Resource Selection and Power Control for High Frequency NR V2X Sidelink
3. Intelligent 5G Vehicular Networks: An Integration of DSRC and mmWave Communications
4. mmWave on the Road: Investigating the Weather Impact on 60 GHz V2X Communication Channels
5. Investigation of 5G Wireless Communication with Dust and Sand Storms
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