Mohamed Sana

Orcid: 0000-0001-5644-5840

According to our database1, Mohamed Sana authored at least 25 papers between 2019 and 2024.

Collaborative distances:

Timeline

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Bibliography

2024
Relative Representations of Latent Spaces enable Efficient Semantic Channel Equalization.
CoRR, 2024

Latent Space Alignment for Semantic Channel Equalization.
CoRR, 2024

Sociality Regime in User-Centric Clustering for Energy-Efficient Cell-free MIMO Networks.
Proceedings of the 35th IEEE International Symposium on Personal, 2024

Analyzing and Enhancing Queue Sampling for Energy-Efficient Remote Control of Bandits.
Proceedings of the IEEE International Mediterranean Conference on Communications and Networking, 2024

Goal-Oriented and Semantic Communication in 6G AI-Native Networks: The 6G-GOALS Approach.
Proceedings of the Joint European Conference on Networks and Communications & 6G Summit, 2024

Distributed Intelligent Integrated Sensing and Communications: The 6G-DISAC Approach.
Proceedings of the Joint European Conference on Networks and Communications & 6G Summit, 2024

Early Acceptance Matching Game for User-Centric Clustering in Scalable Cell-free MIMO Networks.
Proceedings of the Joint European Conference on Networks and Communications & 6G Summit, 2024

Cooperative Sensing of Side Lobes Interference for mmWave Blockages Localization and Mapping.
Proceedings of the Joint European Conference on Networks and Communications & 6G Summit, 2024

Pragmatic Goal-Oriented Communications Under Semantic-Effectiveness Channel Errors.
Proceedings of the 21st IEEE Consumer Communications & Networking Conference, 2024

2023
Sensing of Side Lobes Interference for Blockage Prediction in Dense mmWave Networks.
Proceedings of the 34th IEEE Annual International Symposium on Personal, 2023

Federated Multi-Agent Deep Reinforcement Learning for Dynamic and Flexible 3D Operation of 5G Multi-MAP Networks.
Proceedings of the 34th IEEE Annual International Symposium on Personal, 2023

Soft Partitioning of Latent Space for Semantic Channel Equalization.
Proceedings of the 19th International Symposium on Wireless Communication Systems, 2023

Learning Hierarchical Resource Allocation and Multi-agent Coordination of 5G mobile IAB Nodes.
Proceedings of the IEEE International Conference on Communications, 2023

Dual-Attention Deep Reinforcement Learning for Multi-MAP 3D Trajectory Optimization in Dynamic 5G Networks.
Proceedings of the IEEE International Conference on Communications, 2023

Semantic Channel Equalizer: Modelling Language Mismatch in Multi-User Semantic Communications.
Proceedings of the IEEE Global Communications Conference, 2023

2022
Coverage Extension as a Service for Flexible 6G Networks Infrastructure.
Proceedings of the IEEE Globecom 2022 Workshops, 2022

Cost-Efficient and QoS-Aware User Association and 3D Placement of 6G Aerial Mobile Access Points.
Proceedings of the 2022 Joint European Conference on Networks and Communications & 6G Summit, 2022

Learning Semantics: An Opportunity for Effective 6G Communications.
Proceedings of the 19th IEEE Annual Consumer Communications & Networking Conference, 2022

2021
Distributed Learning for 5G and Beyond Network Management and Orchestration. (Apprentissage distribué pour la gestion et l'orchestration des réseaux 5G et au-delà).
PhD thesis, 2021

Transferable and Distributed User Association Policies for 5G and Beyond Networks.
Proceedings of the 32nd IEEE Annual International Symposium on Personal, 2021

Energy Efficient Edge Computing: When Lyapunov Meets Distributed Reinforcement Learning.
Proceedings of the IEEE International Conference on Communications Workshops, 2021

2020
Multi-Agent Reinforcement Learning for Adaptive User Association in Dynamic mmWave Networks.
IEEE Trans. Wirel. Commun., 2020

Multi-Agent Deep Reinforcement Learning For Distributed Handover Management In Dense MmWave Networks.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Comparison of Multi-channel Ranging Algorithms for Narrowband LPWA Network Localization.
Proceedings of the Ubiquitous Networking - 5th International Symposium, 2019

Multi-Agent Deep Reinforcement Learning Based User Association for Dense mmWave Networks.
Proceedings of the 2019 IEEE Global Communications Conference, 2019


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