61 citations · 108 across the 15 of their papers we have counts for
16 papers
Orthogonal Time Frequency Multiplexing (OTFDM): A Novel Waveform Targeted for IMT-2030
Koteswara Rao Gudimitla, Sibgath Ali Khan M, Kiran Kuchi
The rapid evolution of the International Mobile Telecommunications (IMT) landscape has prompted the International Telecommunications Union Working Party 5D (ITU WP5D) to outline th…
Spectral Temporal Graph Neural Network for massive MIMO CSI Prediction
Sharan Mourya, Pavan Reddy, SaiDhiraj Amuru +1
In the realm of 5G communication systems, the accuracy of Channel State Information (CSI) prediction is vital for optimizing performance. This letter introduces a pioneering approa…
Meeting IMT 2030 Performance Targets: The Potential of OTFDM Waveform and Structural MIMO Technologies
Spandan Bisoyi, Murali Mohan Pasupuleti, Kiran Kuchi +5
The white paper focuses on several candidate technologies that could play a crucial role in the development of 6G systems. Two of the key technologies explored in detail are Orthog…
Graph Neural Networks-Based User Pairing in Wireless Communication Systems
Sharan Mourya, Pavan Reddy, SaiDhiraj Amuru +1
Recently, deep neural networks have emerged as a solution to solve NP-hard wireless resource allocation problems in real-time. However, multi-layer perceptron (MLP) and convolution…
Multi-Task Learning for Multi-User CSI Feedback
Sharan Mourya, SaiDhiraj Amuru, Kiran Kumar Kuchi
Deep learning-based massive MIMO CSI feedback has received a lot of attention in recent years. Now, there exists a plethora of CSI feedback models mostly based on auto-encoders (AE…
Optimizing the Placement and Beamforming of RIS in Cellular Networks: A System-Level Modeling Perspective
Pavan Reddy M., SaiDhiraj Amuru, Kiran Kuchi
In this letter, we present in detail the system-level modeling of reconfigurable intelligent surface (RIS)-assisted cellular systems by considering a 3-dimensional channel model be…