3.4k citations · 6.5k across the 45 of their papers we have counts for
8 papers · 1 filter
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…
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…
Precoder Implementation and Optimization in 5G NR Massive MIMO Radio
Kalyani Bhukya, Shahid Aamir Sheikh, Radha Krishna Ganti
The evolution of 5G New Radio (NR) has brought significant improvements in signal strength and service quality for users. By integrating Multiple Input Multiple Output (MIMO) syste…
A Machine Learning based Hybrid Receiver for 5G NR PRACH
Rohit Singh, Anil Kumar Yerrapragada, Radha Krishna Ganti
Random Access is a critical procedure using which a User Equipment (UE) identifies itself to a Base Station (BS). Random Access starts with the UE transmitting a random preamble on…
On the Application of Deep Learning for Precise Indoor Positioning in 6G
Sai Prasanth Kotturi, Anil Kumar Yerrapragada, Sai Prasad +1
Accurate localization in indoor environments is a challenge due to the Non Line of Sight (NLoS) nature of the signaling. In this paper, we explore the use of AI/ML techniques for p…
QR Approximation for Massive MIMO Fronthaul Compression
Aswathylakshmi P, Radha Krishna Ganti
Massive MIMO's immense potential to serve large number of users at fast data rates also comes with the caveat of requiring tremendous processing power. This favours a centralized r…