activity
20242026
collaborators

6 papers

cs.NI2026

Enabling Programmable Inference and ISAC at the 6GR Edge with dApps

Michele Polese, Rajeev Gangula, Tommaso Melodia

The convergence of communication, sensing, and Artificial Intelligence (AI) in the Radio Access Network (RAN) offers compelling economic advantages through shared spectrum and infr…

cs.NI2025

dApps: Enabling Real-Time AI-Based Open RAN Control

Andrea Lacava, Leonardo Bonati, Niloofar Mohamadi +7

Open Radio Access Networks (RANs) leverage disaggregated and programmable RAN functions and open interfaces to enable closed-loop, data-driven radio resource management. This is pe…

eess.SP2025

Bistatic Sensing in 5G NR

Rajeev Gangula, Sakthivel Velumani, Tommaso Melodia

In this work, we propose and evaluate the performance of a 5th generation (5G) New Radio (NR) bistatic Integrated Sensing and Communication (ISaC) system. Unlike the full-duplex mo…

cs.IT2024

5G NR Positioning with OpenAirInterface: Tools and Methodologies

Rakesh Mundlamuri, Rajeev Gangula, Florian Kaltenberger +1

The fifth-generation new radio (5G NR) technology is expected to provide precise and reliable positioning capabilities along with high data rates. The Third Generation Partnership…

cs.NI2024

ORANSlice: An Open-Source 5G Network Slicing Platform for O-RAN

Hai Cheng, Salvatore D'Oro, Rajeev Gangula +7

Network slicing allows Telecom Operators (TOs) to support service provisioning with diverse Service Level Agreements (SLAs). The combination of network slicing and Open Radio Acces…

cs.IT2024

Round Trip Time Estimation Utilizing Cyclic Shift of Uplink Reference Signal

Rajeev Gangula, Tommaso Melodia, Rakesh Mundlamuri +1

In the context of fifth-generation new radio (5G NR) technology, it is not possible to directly obtain an absolute uplink (UL) channel impulse response (CIR) at the base station (g…