149 citations · 539 across the 71 of their papers we have counts for
5 papers · 2 filters
Scheduling Improves the Performance of Belief Propagation for Noisy Group Testing
Esmaeil Karimi, Anoosheh Heidarzadeh, Krishna R. Narayanan +1
This paper considers the noisy group testing problem where among a large population of items some are defective. The goal is to identify all defective items by testing groups of it…
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…
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…
Coded Compressed Sensing with Successive Cancellation List Decoding for Unsourced Random Access with Massive MIMO
Vamsi K. Amalladinne, Jean-Francois Chamberland, Krishna R. Narayanan
Unsourced random access (URA) is an increasingly popular communication paradigm attuned to machine driven data transfers in \textit{Internet-of-Things} (IoT) networks. In a typical…
Stochastic Binning and Coded Demixing for Unsourced Random Access
Jamison R. Ebert, Vamsi K. Amalladinne, Stefano Rini +2
Unsourced random access is a novel communication paradigm designed for handling a large number of uncoordinated users that sporadically transmit very short messages. Under this mod…