Coverage Extension as a Service for Flexible 6G Networks Infrastructure
Author:
Affiliation:
1. CEA-Leti,France
2. Ghent University,IMEC - IDLab,Belgium
3. Univ. of Surrey,5GIC/6GIC,UK
4. VTT,Finland
5. TTI,Spain
6. ATOS,Spain
7. WINGS ICT Solutions,Greece
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10008390/10008474/10008528.pdf?arnumber=10008528
Reference15 articles.
1. Multi-Agent Reinforcement Learning for Adaptive User Association in Dynamic mmWave Networks
2. Machine Learning Enabled Wi-Fi Saturation Sensing for Fair Coexistence in Unlicensed Spectrum
3. Expansive networks: Exploiting spectrum sharing for capacity boost and 6G vision
4. Cost-Efficient and QoS-Aware User Association and 3D Placement of 6G Aerial Mobile Access Points
5. Enhancing the Coexistence of LTE and Wi-Fi in Unlicensed Spectrum Through Convolutional Neural Networks
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1. Cooperative Sensing of Side Lobes Interference for mmWave Blockages Localization and Mapping;2024 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit);2024-06-03
2. Federated Multi-Agent Deep Reinforcement Learning for Dynamic and Flexible 3D Operation of 5G Multi-MAP Networks;2023 IEEE 34th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC);2023-09-05
3. Dual-Attention Deep Reinforcement Learning for Multi-MAP 3D Trajectory Optimization in Dynamic 5G Networks;ICC 2023 - IEEE International Conference on Communications;2023-05-28
4. Enabling Uncoordinated Dynamic Spectrum Sharing Between LTE and NR Networks;IEEE Transactions on Wireless Communications;2023
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