Towards Machine-Learning-Based 5G and Beyond Intelligent Networks: The MARSAL Project Vision-Reference-Cited by-同舟云学术

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Towards Machine-Learning-Based 5G and Beyond Intelligent Networks: The MARSAL Project Vision

Published:2021-09-07 Issue: Volume: Page:
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Container-title:2021 IEEE International Mediterranean Conference on Communications and Networking (MeditCom)
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Author:

Vardakas John S.,Ramantas Kostas,Datsika Eftychia,Payaro Miquel,Pollin Sofie,Vinogradov Evgenii,Varvarigos Manos,Kokkinos Panagiotis,Gonzalez-Sanchez Roberto,Olmos Juan Jose Vegas,Chochliouros Ioannis,Chanclou Philippe,Samarati Pierangela,Flizikowski Adam,Rahman Md Arifur,Verikoukis Christos

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9647430/9647442/09647671.pdf?arnumber=9647671

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. Computational Load Offloading Mechanism in a Converged SDN Control Plane in a 6G Network;2024 14th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP);2024-07-17

2. Cell-Free Massive MIMO in O-RAN: Energy-Aware Joint Orchestration of Cloud, Fronthaul, and Radio Resources;IEEE Journal on Selected Areas in Communications;2024-02

3. Clustering and Beamforming for User-Centric Cell-Free Massive MIMO With Backhaul Capacity Limitation;IEEE Access;2024

4. Seamless Integration of Efficient 6G Wireless Technologies for Communication and Sensing Enabling Ecosystems;IFIP Advances in Information and Communication Technology;2024

5. Cell-free massive multiple-input multiple-output challenges and opportunities: A survey;ICT Express;2023-11

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