Adaptive C-V2X Sidelink Communications for Vehicular Applications Beyond Safety Messages
Author:
Affiliation:
1. University of California,Department of Electrical and Computer Engineering,San Diego
2. University of Louisville,Department of Computer Science and Engineering
Funder
Qualcomm
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9860273/9860350/09860580.pdf?arnumber=9860580
Reference11 articles.
1. A Vision of C-V2X: Technologies, Field Testing, and Challenges With Chinese Development
2. Dedicated Short-Range Communications (DSRC) Standards in the United States
3. Wave: A tutorial
4. High performance V2X enabled roadside unit with edge computing,2022
5. Adaptive Computation Partitioning and Offloading in Real-Time Sustainable Vehicular Edge Computing
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1. Multi-Modal Data and Model Reduction for Enabling Edge Fusion in Connected Vehicle Environments;IEEE Transactions on Vehicular Technology;2024-08
2. From Empirical Measurements to Augmented Data Rates: A Machine Learning Approach for MCS Adaptation in Sidelink Communication;2023 IEEE 98th Vehicular Technology Conference (VTC2023-Fall);2023-10-10
3. Uncertainty-aware Task Offloading for Multi-vehicle Perception Fusion over Vehicular Edge Computing;IEEE Transactions on Vehicular Technology;2023
4. Utilizing Reinforcement Learning for Adaptive Sensor Data Sharing over C-V2X Communications;IEEE Transactions on Vehicular Technology;2023
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