22 citations · 50 across the 12 of their papers we have counts for
18 papers
Coded Demixing for Unsourced Random Access
Jamison R. Ebert, Vamsi K. Amalladinne, Stefano Rini +2
Unsourced random access (URA) is a recently proposed multiple access paradigm tailored to the uplink channel of machine-type communication networks. By exploiting a strong connecti…
Non-adiabatic dynamics of the entanglement entropy in a symmetry-breaking Haldane insulator
Junjun Xu
We study the non-adiabatic dynamics of a typical symmetry-protected topological phase-the Haldane insulator phase with broken bond-centered inversion. By continuously breaking the…
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…
Multi-Class Unsourced Random Access via Coded Demixing
Vamsi K. Amalladinne, Allen Hao, Stefano Rini +1
Unsourced random access (URA) is a recently proposed communication paradigm attuned to machine-driven data transfers. In the original URA formulation, all the active devices share…
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…
A Hybrid Approach to Coded Compressed Sensing where Coupling Takes Place via the Outer Code
Jamison R. Ebert, Vamsi K. Amalladinne, Jean-Francois Chamberland +1
This article seeks to advance coded compressed sensing (CCS) as a practical scheme for unsourced random access. The original CCS algorithm features a concatenated structure where a…
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…
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…
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,…
An enhanced decoding algorithm for coded compressed sensing
Vamsi K. Amalladinne, Jean-Francois Chamberland, Krishna R. Narayanan
Coded compressed sensing is an algorithmic framework tailored to sparse recovery in very large dimensional spaces. This framework is originally envisioned for the unsourced multipl…
Spatially-Coupled Neural Network Architectures
Arman Hasanzadeh, Nagaraj T. Janakiraman, Vamsi K. Amalladinne +1
In this work, we leverage advances in sparse coding techniques to reduce the number of trainable parameters in a fully connected neural network. While most of the works in literatu…
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…
Asynchronous Neighbor Discovery Using Coupled Compressive Sensing
Vamsi K. Amalladinne, Krishna R. Narayanan, Jean-Francois Chamberland +1
The neighbor discovery paradigm finds wide application in Internet of Things networks, where the number of active devices is orders of magnitude smaller than the total device popul…
A Coded Compressed Sensing Scheme for Uncoordinated Multiple Access
Vamsi K. Amalladinne, Jean-Francois Chamberland, Krishna R. Narayanan
This article introduces a novel communication scheme, termed coded compressed sensing, for unsourced multiple-access communication. The proposed divide-and-conquer approach leverag…
A Coupled Compressive Sensing Scheme for Unsourced Multiple Access
Vamsi K. Amalladinne, Avinash Vem, Dileep Kumar Soma +2
This article introduces a novel paradigm for the unsourced multiple-access communication problem. This divide-and-conquer approach leverages recent advances in compressive sensing…