collaborators

6 papers

cs.IT20202 cited

An Exploration of the Heterogeneous Unsourced MAC

Allen Hao, Stefano Rini, Vamsi Amalladinne +2

The unsourced MAC model was originally introduced to study the communication scenario in which a number of devices with low-complexity and low-energy wish to upload their respectiv…

cs.IT2020

Unsourced Random Access with Coded Compressed Sensing: Integrating AMP and Belief Propagation

Vamsi K. Amalladinne, Asit Kumar Pradhan, Cynthia Rush +2

Sparse regression codes with approximate message passing (AMP) decoding have gained much attention in recent times. The concepts underlying this coding scheme extend to unsourced r…

cs.IT2020

On Approximate Message Passing for Unsourced Access with Coded Compressed Sensing

Vamsi K. Amalladinne, Asit Kumar Pradhan, Cynthia Rush +2

Sparse regression codes with approximate message passing (AMP) decoding have gained much attention in recent times. The concepts underlying this coding scheme extend to unsourced a…

cs.IT2019

Polar Coding and Random Spreading for Unsourced Multiple Access

Asit Kumar Pradhan, Vamsi K. Amalladinne, Krishna R. Narayanan +1

This article presents a novel transmission scheme for the unsourced, uncoordinated Gaussian multiple access problem. The proposed scheme leverages notions from single-user coding,…

cs.IT2019

Factored LT and Factored Raptor Codes for Large-Scale Distributed Matrix Multiplication

Asit Kumar Pradhan, Anoosheh Heidarzadeh, Krishna R. Narayanan

We propose two coding schemes for distributed matrix multiplication in the presence of stragglers. These coding schemes are adaptations of LT codes and Raptor codes to distributed…

cs.IT2019

Sparse IDMA: A Joint Graph-Based Coding Scheme for Unsourced Random Access

Asit Pradhan, Vamsi Amalladinne, Avinash Vem +2

This article introduces a novel communication paradigm for the unsourced, uncoordinated Gaussian multiple access problem. The major components of the envisioned framework are as fo…