Papers

2

Total Citations

4

H-Index

1

About

Arif Dataesatu is at the forefront of next-generation communication systems, specializing in resource management for cybernetic avatars (CAs) within dynamic local 5G environments. His research directly supports Japan’s Moonshot Goal 1 project, which envisions a society where CAs extend human physical and cognitive capabilities, enabling seamless remote work and social participation. Dataesatu’s major contributions lie in developing multi-layer resource allocation strategies that ensure fair and efficient distribution of network resources—critical for maintaining real-time, high-fidelity interactions between humans and their avatars. His 2024 paper on multi-layer resource management has garnered 3 citations, while his 2025 work on fair allocation with dynamic service area management adds a crucial layer of equity to these systems. By tackling the challenges of latency, bandwidth, and service continuity in local 5G networks, Dataesatu is laying the groundwork for a future where cybernetic avatars become a practical, everyday tool for overcoming physical and spatial limitations. His work is essential reading for researchers in wireless communications, robotics, and human augmentation.

Research Focus

Key Achievements

1
H-Index
2
Papers
4
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Multi-Layer Resource Management Strategies for Cybernetic Avatars in Dynamic Local 5G Environments
3 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: National Institute of Information and Communications Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago