VLDB 2026 Research / reviewers in the wild / expert
Rupendra Nath Mitra
dblp:209/4142
· DBLP profile ↗
2ranked-venue papers
0as first author
2since 2021 · last 2025
0000-0003-4435-302XORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 2 · 2 since 2021
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | AI-Driven Traffic Steering xApp for Open RAN: A Cloud-Native Quantum-Safe ApproachabstractWhile the O-RAN Alliance is gaining momentum in democratizing RAN innovation through multi-vendor interoperability, there remains a gap in empirical performance evaluation of O-RAN applications deployed with future-proof security measures on carrier-grade components. Furthermore, how implementing an advanced security measure impacts the overall O-RAN performance is largely understudied in true cloud-native deployments. This paper presents a comprehensive integration of an O-RAN-specific testbed that utilizes a quantum-safe security technology, an industry-leading O-RAN test emulator, and a carrier-grade Near-Real-Time (near-RT) RIC platform hosting our custom AI-driven Traffic Steering (TS) xApp. Our threefold contribution includes developing an innovative TS xApp for efficient RAN load-balancing on the fly, empirically measuring RAN key performance indicators (KPIs), and assessing the security solution's impact on overall system performance. Results demonstrate that our TS xApp enhances the downlink throughput by 3.88% and improves the median user QoS scores by 2.52%. In particular, the quantum-safe security measure implemented to secure the O-RAN E2 interface in the multi-vendor deployment, adds only 0.818 milliseconds of average latency which remains well below one second, the maximum acceptable threshold for near-RT RIC control loop response time. Rasoul Behravesh, Daniel Coroama, Mastaneh Nikroo, Mohammadamin Gholami, Naresh Agrawala, Rupendra Nath Mitra |
NetSoft | 6 |
| 2025 | Demo xApp: QoS-Based Radio Resource Optimization on Carrier-Grade O-RAN TestbedabstractThis paper demonstrates a QoS-based radio resource optimization (QoS-BRO) xApp developed and deployed on a cloud-based, Open-RAN Alliance (O-RAN) specific testbed. The testbed is designed with carrier-grade RAN Intelligent Controller (RIC) platforms integrated with RAN node. Existing xApps in the recent O-RAN literature are often tested and validated with opensource RIC and RAN simulation components that lack realistic testing scenarios. This demo attempts to narrow the gap between the lab and real RAN scenarios by using Broadcom's productiongrade RIC platform on top of the industry-leading VIAVI RSG. Diverse training/test datasets and RAN scenarios are synthesized to rigorously test the performance of the novel QoS-BRO xApp in the O-RAN context. The result shows that our xApp improves the QoS score by 2.75% with an additional enhancement of downlink throughput by 15.7% in a dense urban RAN scenario. Rasoul Behravesh, Daniel Coroama, Mastaneh Nikroo, Mohammadamin Gholami, Rupendra Nath Mitra |
NetSoft | 5 |