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20192022
most citedAn Exploration of the Heterogeneous Unsourced MAC

2 citations · 4 across the 4 of their papers we have counts for

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cs.IT2021

LDPC Codes with Soft Interference Cancellation for Uncoordinated Unsourced Multiple Access

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

This article presents a novel enhancement to the random spreading based coding scheme developed by Pradhan et al.\ for the unsourced multiple access channel. The original coding sc…

cs.IT2021

Approximate Support Recovery using Codes for Unsourced Multiple Access

Michail Gkagkos, Asit Kumar Pradhan, Vamsi Amalladinne +3

We consider the approximate support recovery (ASR) task of inferring the support of a -sparse vector from noisy measurements. We examine the case…

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,…