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07/04/2023
SliceOps: Explainable MLOps for Streamlined Automation-Native 6G Networks
Sixth-generation (6G) network slicing is the backbone of future communic...
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07/03/2023
A Multi-Agent Deep Reinforcement Learning Approach for RAN Resource Allocation in O-RAN
Artificial intelligence (AI) and Machine Learning (ML) are considered as...
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03/27/2023
Explanation-Guided Deep Reinforcement Learning for Trustworthy 6G RAN Slicing
The complexity of emerging sixth-generation (6G) wireless networks has s...
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11/07/2022
A Federated DRL Approach for Smart Micro-Grid Energy Control with Distributed Energy Resources
The prevalence of the Internet of things (IoT) and smart meters devices ...
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11/06/2022
On the Specialization of FDRL Agents for Scalable and Distributed 6G RAN Slicing Orchestration
Network slicing enables multiple virtual networks to be instantiated and...
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01/22/2022
A Collaborative Statistical Actor-Critic Learning Approach for 6G Network Slicing Control
Artificial intelligence (AI)-driven zero-touch massive network slicing i...
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01/22/2022
Actor-Critic-Based Learning for Zero-touch Joint Resource and Energy Control in Network Slicing
To harness the full potential of beyond 5G (B5G) communication systems, ...
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01/17/2021
Zero-touch Continuous Network Slicing Control via Scalable Actor-Critic Learning
Artificial intelligence (AI)-driven zero-touch network slicing is envisa...
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01/17/2021
