Learning context-dependent autoencoders for CSI feedback
A Motivating Question: How do we cluster different datasets into different groups? When developing data-driven machine learning models for a... Continue
Generating High Dimensional Wireless Channels using Diffusion Models
Significant advancements in deep neural networks have led to developments in wireless communication. However, these deep learning-based methods require extensive... Continue
Learning Codes for Interference Channels
Interference Channels A two-user interference channel is a canonical model for multiple one-to-one communications, where two transmitters wish to communicate... Continue
Leveraging Deep Learning for Practical Distributed Source Coding
Distributed Source Coding Distributed source coding (DSC) refers to the task of compressing multiple correlated data sources that are encoded... Continue