Age-of-Information Aware Intelligent MAC for Congestion Control in NR-V2X
Author:
Affiliation:
1. Kyungpook National University,School of Computer Science and Engineering,Daegu,Republic of Korea
Funder
National Research Foundation of Korea
Kyungpook National University
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10199107/10199171/10200859.pdf?arnumber=10200859
Reference11 articles.
1. Enhanced Semi-persistent scheduling (e-SPS) for Aperiodic Traffic in NR-V2X
2. Advancements in Vehicular Communication Technologies: C-V2X and NR-V2X Comparison
3. Impact of the Generation Interval on the Performance of Sidelink C-V2X Autonomous Mode
4. Analysis of Distributed Congestion Control in Cellular Vehicle-to-Everything Networks
5. A First Investigation of Congestion Control for LTE-V2X Mode 4
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1. Joint Optimization of Age of Information and Energy Consumption in NR-V2X System Based on Deep Reinforcement Learning;Sensors;2024-07-04
2. AoI-Aware and Persistence-Driven Congestion Control in 5G NR - V2X Sidelink Communications;2024 22nd Mediterranean Communication and Computer Networking Conference (MedComNet);2024-06-11
3. Understanding the impact of persistence and propagation on the Age of Information of broadcast traffic in 5G NR-V2X sidelink communications;Computer Networks;2024-06
4. LAMP: A latency-aware MAC protocol for joint scheduling of CAM and DENM traffic over 5G-NR sidelink;Computer Communications;2024-03
5. Deep reinforcement learning‐based dual‐mode congestion control for cellular V2X environments;Electronics Letters;2023-10
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