61 citations · 67 across the 7 of their papers we have counts for
7 papers
Contextual Quantum Neural Networks for Stock Price Prediction
Sharan Mourya, Hannes Leipold, Bibhas Adhikari
In this paper, we apply quantum machine learning (QML) to predict the stock prices of multiple assets using a contextual quantum neural network. Our approach captures recent trends…
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…
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…
A Comparison of Encoding Techniques for an Analog Quantum Emulation Device
Sharan Mourya
Quantum computers can outperform classical computers in certain tasks. However, there are still many challenges to the current quantum computers such as decoherence and fault toler…
A Reduced-Complexity Maximum-Likelihood Detection with a sub-optimal BER Requirement
Sharan Mourya, Amit Kumar Dutta
Maximum likelihood (ML) detection is an optimal signal detection scheme, which is often difficult to implement due to its high computational complexity, especially in a multiple-in…
A Spatially Separable Attention Mechanism for massive MIMO CSI Feedback
Sharan Mourya, SaiDhiraj Amuru, Kiran Kumar Kuchi
Channel State Information (CSI) Feedback plays a crucial role in achieving higher gains through beamforming. However, for a massive MIMO system, this feedback overhead is huge and…