3 citations · 3 across the 3 of their papers we have counts for
11 papers
Task-Oriented Candidate-Latent Feedback for Coarse-to-Fine Sensing in Distributed OFDM-ISAC Networks
Shiv Shankar, Radha Krishna Ganti, J Klutto Milleth
Future integrated sensing and communication (ISAC) architectures separate the sensing entity (SE) that acquires measurements from the sensing function (SF) that performs inference,…
Enabling AI-Native Mobility in 6G: A Real-World Dataset for Handover, Beam Management, and Timing Advance
Mannam Veera Narayana, Rohit Singh, Deepa M. R +1
To address the issues of high interruption time and measurement report overhead under user equipment (UE) mobility especially in high speed 5G use cases the use of AI/ML techniques…
Machine Learning Decoder for 5G NR PUCCH Format 0
Anil Kumar Yerrapragada, Jeeva Keshav S, Ankit Gautam +1
5G cellular systems depend on the timely exchange of feedback control information between the user equipment and the base station. Proper decoding of this control information is ne…
UCINet0: A Machine Learning based Receiver for 5G NR PUCCH Format 0
Jeeva Keshav Sattianarayanin, Anil Kumar Yerrapragada, Radha Krishna Ganti
Accurate decoding of Uplink Control Information (UCI) on the Physical Uplink Control Channel (PUCCH) is essential for enabling 5G wireless links. This paper explores an AI/ML-based…
Study on Downlink CSI compression: Are Neural Networks the Only Solution?
K. Sai Praneeth, Anil Kumar Yerrapragada, Achyuth Sagireddi +2
Massive Multi Input Multi Output (MIMO) systems enable higher data rates in the downlink (DL) with spatial multiplexing achieved by forming narrow beams. The higher DL data rates a…
Physical Layer Design for Ambient IoT
Rohit Singh, Anil Kumar Yerrapragada, Radha Krishna Ganti
There is a growing demand for ultra low power and ultra low complexity devices for applications which require maintenance-free and battery-less operation. One way to serve such app…