Cell-Free Massive MIMO in O-RAN: Energy-Aware Joint Orchestration of Cloud, Fronthaul, and Radio Resources

Author:

Demir Özlem Tuğfe1,Masoudi Meysam2ORCID,Björnson Emil3ORCID,Cavdar Cicek3ORCID

Affiliation:

1. Department of Electrical and Electronics Engineering, TOBB University of Economics and Technology, Ankara, Turkey

2. Global AI Accelerator, Ericsson, Stockholm, Sweden

3. Department of Computer Science, KTH Royal Institute of Technology, Stockholm, Kista, Sweden

Funder

CELTIC-NEXT Project Artificial Intelligence for Green Networks (AI4Green) through Vinnova, Swedish Innovation Agency

Swedish Foundation for Strategic Research

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Multi-Static Target Detection and Power Allocation for Integrated Sensing and Communication in Cell-Free Massive MIMO;IEEE Transactions on Wireless Communications;2024-09

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

3. Downlink Transmissions of UAV-RIS-Assisted Cell-Free Massive MIMO Systems: Location and Trajectory Optimization;Sensors;2024-06-22

4. Dynamic Fronthaul Load Optimization for Uplink Scalable Cell-Free User-Centric Massive MIMO;ICC 2024 - IEEE International Conference on Communications;2024-06-09

5. Energy Reduction in Cell-Free Massive MIMO through Fine-Grained Resource Management;2024 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit);2024-06-03

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