Sarder Fakhrul Abedin

Mid Sweden University

Papers

1

Total Citations

56

H-Index

1

About

Dr. Sarder Fakhrul Abedin is a leading researcher in next-generation wireless networks, with a focus on open radio access networks (O-RAN), network slicing, and the Industrial Internet of Things (IIoT). His most cited work, "Elastic O-RAN Slicing for Industrial Monitoring and Control," introduces a novel framework that combines distributed matching games with deep reinforcement learning to dynamically allocate network resources for critical IIoT applications, such as safety communications and mobile robot control. This approach addresses the shift from static manufacturing to agile, real-time industrial processes. With over 56 citations on this paper alone, Dr. Abedin’s contributions are shaping the future of intelligent, adaptive network architectures. His research not only advances theoretical foundations but also offers practical solutions for ultra-reliable low-latency communications in industrial settings. Dr. Abedin’s work is highly regarded for bridging the gap between algorithmic game theory and machine learning, making him a key figure in the evolution of O-RAN and IIoT systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
56
Total Citations
56
Avg Citations/Paper
🏆 Most Cited Paper
Elastic O-RAN Slicing for Industrial Monitoring and Control: A Distributed Matching Game and Deep Reinforcement Learning Approach
56 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Mid Sweden University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago