Ushasi Ghosh

University of California San Diego

Papers

1

Total Citations

8

H-Index

1

About

Ushasi Ghosh is a rising researcher at the forefront of next-generation cellular networks, specializing in real-time Radio Access Network (RAN) intelligence and edge computing. Her work addresses the critical challenge of enabling diverse, latency-sensitive applications—from interactive media streaming to robot control—by optimizing wireless resources through application-layer awareness. Her most cited paper, "Demo: EdgeRIC: Delivering Realtime RAN Intelligence" (2023, 8 citations), introduces a framework that brings dynamic, closed-loop control to the RAN edge, allowing operators to meet strict throughput, latency, and reliability requirements. This contribution is pivotal for the evolution of 5G-Advanced and 6G systems, where network slicing and ultra-reliable low-latency communication (URLLC) are paramount. Ghosh’s research bridges the gap between theoretical network optimization and practical deployment, demonstrating tangible improvements in real-time application performance. As a young scholar, her work has already garnered attention within the wireless communications community, positioning her as a key voice in the push toward more intelligent, responsive cellular infrastructures. Her achievements highlight a promising trajectory in shaping how future networks will serve demanding, real-world applications.

Research Focus

Key Achievements

1
H-Index
1
Papers
8
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Demo: EdgeRIC: Delivering Realtime RAN Intelligence
8 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: University of California San Diego

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago