Team Learning-Based Resource Allocation for Open Radio Access Network (O-RAN)

Author:

Zhang Han1,Zhou Hao1,Erol-Kantarci Melike1

Affiliation:

1. University of Ottawa,School of Electrical Engineering and Computer Science

Funder

Canada Research Chairs

Publisher

IEEE

Reference17 articles.

1. Handover Control in Wireless Systems via Asynchronous Multiuser Deep Reinforcement Learning

2. AI-Based Autonomous Control, Management, and Orchestration in 5G: From Standards to Algorithms

3. Learning from Peers: Transfer Reinforcement Learning for Joint Radio and Cache Resource Allocation in 5G Network Slicing;zhou,2021

4. Joint Power Allocation and Channel Assignment for NOMA With Deep Reinforcement Learning

5. Intelligence and learning in O-RAN for data-driven nextG cellular networks;bonati,2020

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1. QACM: QoS-Aware xApp Conflict Mitigation in Open RAN;IEEE Transactions on Green Communications and Networking;2024-09

2. Enhancing Vehicular Networks With Hierarchical O-RAN Slicing and Federated DRL;IEEE Transactions on Green Communications and Networking;2024-09

3. Heuristic Algorithms for RIS-Assisted Wireless Networks: Exploring Heuristic-Aided Machine Learning;IEEE Wireless Communications;2024-08

4. Pre-Emptive Conflict Detection Architecture for O-RAN Service Management and Orchestration;2024 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT);2024-07-04

5. UGEN: UAV and GAN-Aided Ensemble Network for Post-Disaster Survivor Detection Through ORAN;IEEE Transactions on Vehicular Technology;2024-07

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