Muhammad Ahmed Mohsin

Orcid: 0009-0005-2766-0345

According to our database1, Muhammad Ahmed Mohsin authored at least 36 papers between 2023 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Transformer-Based Sparse CSI Estimation for Non-Stationary Channels.
CoRR, November, 2025

AI Enabled 6G for Semantic Metaverse: Prospects, Challenges and Solutions for Future Wireless VR.
IEEE Wirel. Commun., October, 2025

Net-Zero 6G from Earth to Orbit: Sustainable Design of Integrated Terrestrial and Non-Terrestrial Networks.
CoRR, October, 2025

6G Twin: Hybrid Gaussian Radio Fields for Channel Estimation and Non-Linear Precoder Design for Radio Access Networks.
CoRR, September, 2025

Channel Prediction under Network Distribution Shift Using Continual Learning-based Loss Regularization.
CoRR, September, 2025

Conditional Prior-based Non-stationary Channel Estimation Using Accelerated Diffusion Models.
CoRR, September, 2025

Reconfigurable Holographic Surfaces and Near Field Communication for Non-Terrestrial Networks: Potential and Challenges.
CoRR, September, 2025

Towards 6G Intelligence: The Role of Generative AI in Future Wireless Networks.
CoRR, August, 2025

Neural Gaussian Radio Fields for Channel Estimation.
CoRR, August, 2025

TeraRIS NOMA-MIMO Communications for 6G and Beyond Industrial Networks.
CoRR, August, 2025

Machine Learning-Driven Performance Analysis of Compressed Communication in Aerial-RIS Networks for Future 6G Networks.
CoRR, August, 2025

Meta-Reinforcement Learning for Fast and Data-Efficient Spectrum Allocation in Dynamic Wireless Networks.
CoRR, July, 2025

Intelligent Spectrum Sharing in Integrated TN-NTNs: A Hierarchical Deep Reinforcement Learning Approach.
IEEE Wirel. Commun., June, 2025

Continual Learning for Wireless Channel Prediction.
CoRR, June, 2025

Quantum Fisher-Preconditioned Reinforcement Learning: From Single-Qubit Control to Rayleigh-Fading Link Adaptation.
CoRR, June, 2025

Meta-Thinking in LLMs via Multi-Agent Reinforcement Learning: A Survey.
CoRR, April, 2025

Resource Allocation for RIS-Assisted CoMP-NOMA Networks using Reinforcement Learning.
CoRR, April, 2025

Reconfigurable Intelligent Surface-Assisted Aerial Nonterrestrial Networks: An Intelligent Synergy With Deep Reinforcement Learning.
IEEE Veh. Technol. Mag., March, 2025

Artificial Intelligence, Ambient Backscatter Communication and Non-Terrestrial Networks: A 6G Commixture.
IEEE Internet Things Mag., March, 2025

Vision Transformer Based Semantic Communications for Next Generation Wireless Networks.
CoRR, March, 2025

Computation Offloading Strategies in Integrated Terrestrial and Non-Terrestrial Networks.
CoRR, February, 2025

Task and Perception-aware Distributed Source Coding for Correlated Speech under Bandwidth-constrained Channels.
CoRR, January, 2025

Deep Reinforcement Learning Optimized Intelligent Resource Allocation in Active RIS-Integrated TN-NTN Networks.
Proceedings of the 2025 IEEE Wireless Communications and Networking Conference (WCNC), 2025

On Energy-Efficient Passive Beamforming Design of RIS-Assisted CoMP-NOMA Networks.
Proceedings of the IEEE International Conference on Communications, 2025

Vision Transformer Based Semantic Communications for Next Generation Wireless Networks.
Proceedings of the IEEE International Conference on Communications, 2025

Optimum Power Allocation for Low Rank Wi-Fi Channels: A Comparison with Deep RL Framework.
Proceedings of the IEEE International Conference on Communications, 2025

Retrieval Augmented Generation with Multi-Modal LLM Framework for Wireless Environments.
Proceedings of the IEEE International Conference on Communications, 2025

Transformer-based Distributed Machine Learning for Downlink Channel Estimation in RIS-Aided Networks.
Proceedings of the IEEE International Conference on Acoustics, 2025

Optimum Power-Subcarrier Allocation and Time-Sharing in Multicarrier NOMA Uplink.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Successive Interference Cancellation-aided Diffusion Models for Joint Channel Estimation and Data Detection in Low Rank Channel Scenarios.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024
Analysis of STAR-RIS-Assisted Downlink CoMP-NOMA Multi-Cell Networks Under Nakagami-m Fading.
IEEE Commun. Lett., May, 2024

Deep Reinforcement Learning for Trajectory and Phase Shift Optimization of Aerial RIS in CoMP-NOMA Networks.
Proceedings of the 2024 IEEE Global Communications Conference, 2024

Optimal Power Allocation and Time Sharing in Low Rank Multi-Carrier Wi-Fi Channels.
Proceedings of the IEEE Globecom Workshops 2024, 2024

2023
PyramidTabNet: Transformer-Based Table Recognition in Image-Based Documents.
Proceedings of the Document Analysis and Recognition - ICDAR 2023, 2023

Performance Analysis of STAR-RIS Enhanced CoMP-NOMA Multi-Cell Networks.
Proceedings of the IEEE Globecom Workshops 2023, 2023

Zero-Shot Learning via GANs and SAGANs: A Performance Analysis.
Proceedings of the International Conference on Frontiers of Information Technology, 2023


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