Intelligent QoS Agent Design for QoS Monitoring and Provisioning in 6G Network
Author:
Affiliation:
1. University of New Mexico,Department of Electrical and Computer Engineering,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10278505/10278554/10279078.pdf?arnumber=10279078
Reference21 articles.
1. Citywide Cellular Traffic Prediction Based on Densely Connected Convolutional Neural Networks
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1. Unveiling the Future: A Comparative Analysis of LSTM and SP-LSTM for Network Traffic Prediction in 6G Networks;ICC 2024 - IEEE International Conference on Communications;2024-06-09
2. Reinforcement Learning-Driven Adaptive Traffic Routing Role Delegation for Enhanced SDN Network Performance;2024 IEEE World AI IoT Congress (AIIoT);2024-05-29
3. SE-DO: Navigating the 6G Frontier with Scalable and Efficient DevOps for Intelligent Agents Optimization;2024 IEEE 14th Annual Computing and Communication Workshop and Conference (CCWC);2024-01-08
4. Service-Driven Dynamic Qos On-Demand Routing Algorithm;2024
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