most citedVIVoNet: Visually-represented, Intent-based, Voice-assisted Networking

17 citations · 22 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SP2026

Automated Spectrum Sensing and Analysis Framework

Rahil Gandotra, Ruoyu Sun, Mark Poletti +2

Spectrum sensing and analysis is crucial for a variety of reasons, including regulatory compliance, interference detection and mitigation, and spectrum resource planning and optimi…

eess.SP2026

AI-Driven Spectrum Occupancy Prediction Using Real-World Spectrum Measurements

Jiayu Mao, Ruoyu Sun, Mark Poletti +3

Spectrum occupancy prediction is a critical enabler for real-time and proactive dynamic spectrum sharing (DSS), as it can provide short-term channel availability information to sup…

eess.SP2026

LarS-Net: A Large-Scale Framework for Network-Level Spectrum Sensing

Hao Guo, Ruoyu Sun, Amir Hossein Fahim Raouf +3

As the demand of wireless communication continues to rise, the radio spectrum (a finite resource) requires increasingly efficient utilization. This trend is driving the evolution f…

cs.NI2019★ 5 cited

Trend-Based Networking Driven by Big Data Telemetry for SDN and Traditional Networks

Ankur Jain, Arohi Gupta, Ashutosh Gupta +5

Organizations face a challenge of accurately analyzing network data and providing automated action based on the observed trend. This trend-based analytics is beneficial to minimize…

cs.NI2019★ 17 cited

VIVoNet: Visually-represented, Intent-based, Voice-assisted Networking

Amar Chaudhari, Amrita Asthana, Atharva Kaluskar +5

Networks have become considerably large, complex and dynamic. The configuration, operation, monitoring, and troubleshooting of networks is a cumbersome and time-consuming task for…