Muhammad Umer

Orcid: 0009-0001-8751-6100

Affiliations:
  • Stanford University, Stanford, CA, USA


According to our database1, Muhammad Umer authored at least 19 papers between 2023 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

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

LLM-Based Retrieval-Augmented Generation: A Novel Framework for Resource Optimization in 6G and Beyond Wireless Networks.
IEEE Commun. Mag., 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

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

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

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

Transforming ISAC With STAR-RIS: Design, Challenges, and Opportunities.
IEEE Netw., January, 2025

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

Multi-Agent Deep Reinforcement Learning for Energy Efficient RIS-assisted CoMP-NOMA Networks.
Proceedings of the IEEE International Conference on Communications, 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

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


  Loading...