5 papers
Robust Representation Learning in Masked Autoencoders
Anika Shrivastava, Renu Rameshan, Samar Agnihotri
Masked Autoencoders (MAEs) achieve impressive performance in image classification tasks, yet the internal representations they learn remain less understood. This work started as an…
Adaptive Local Combining with Decentralized Decoding for Distributed Massive MIMO
Mohd Saif Ali Khan, Karthik RM, Samar Agnihotri
Efficient uplink processing in distributed massive multiple-input multiple-output (D-mMIMO) systems requires both effective local combining and scalable decoding to significantly m…
Energy-and Spectral-Efficiency Trade-off in Distributed Massive-MIMO Networks
Mohd Saif Ali Khan, Karthik RM, Samar Agnihotri
This paper investigates the energy efficiency (EE) and spectral efficiency (SE) trade-off in uplink distributed massive multiple-input multiple-output (D-mMIMO) systems. Unlike con…
Pilot Assignment for Distributed Massive MIMO Based on Channel Estimation Error Minimization
Mohd Saif Ali Khan, Karthik RM, Samar Agnihotri
Pilot contamination remains a major bottleneck in realizing the full potential of distributed massive MIMO systems. We propose two dynamic and scalable pilot assignment schemes des…
Latent Space Characterization of Autoencoder Variants
Anika Shrivastava, Renu Rameshan, Samar Agnihotri
Understanding the latent spaces learned by deep learning models is crucial in exploring how they represent and generate complex data. Autoencoders (AEs) have played a key role in t…