1 citations · 1 across the 7 of their papers we have counts for
10 papers
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…
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…
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…
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…
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…
Novel Round Trip Time Estimation in 5G NR
Rakesh Mundlamuri, Rajeev Gangula, Florian Kaltenberger +1
The fifth generation new radio (5G NR) technology is expected to fulfill reliable and accurate positioning requirements of industry use cases, such as autonomous robots, connected…