research
∙
04/12/2023
Scalable Cell-Free Massive MIMO Unsourced Random Access System
Cell-Free Massive MIMO systems aim to expand the coverage area of wirele...
share
research
∙
01/24/2023
PolarAir: A Compressed Sensing Scheme for Over-the-Air Federated Learning
We explore a scheme that enables the training of a deep neural network i...
research
∙
01/05/2023
On Sparse Regression LDPC Codes
Belief propagation applied to iterative decoding and sparse recovery thr...
research
∙
06/03/2022
HashBeam: Enabling Feedback Through Downlink Beamforming in Unsourced Random Access
Unsourced random access (URA) has emerged as a candidate paradigm for ma...
research
∙
05/12/2022
Sparse Random Khatri-Rao Product Codes for Distributed Matrix Multiplication
We introduce two generalizations to the paradigm of using Random Khatri-...
research
∙
03/01/2022
Coded Demixing for Unsourced Random Access
Unsourced random access (URA) is a recently proposed multiple access par...
research
∙
02/24/2022
Noisy Group Testing with Side Information
Group testing has recently attracted significant attention from the rese...
research
∙
02/22/2022
FASURA: A Scheme for Quasi-Static Massive MIMO Unsourced Random Access Channels
This article considers the massive MIMO unsourced random access problem ...
research
∙
12/01/2021
An Enhanced Decoding Algorithm for Coded Compressed Sensing with Applications to Unsourced Random Access
Unsourced random access (URA) has emerged as a pragmatic framework for n...
research
∙
10/19/2021
Scheduling Improves the Performance of Belief Propagation for Noisy Group Testing
This paper considers the noisy group testing problem where among a large...
research
∙
05/28/2021
LDPC Codes with Soft Interference Cancellation for Uncoordinated Unsourced Multiple Access
This article presents a novel enhancement to the random spreading based ...
research
∙
05/05/2021
Coded Compressed Sensing with Successive Cancellation List Decoding for Unsourced Random Access with Massive MIMO
Unsourced random access (URA) is an increasingly popular communication p...
research
∙
04/12/2021
Stochastic Binning and Coded Demixing for Unsourced Random Access
Unsourced random access is a novel communication paradigm designed for h...
research
∙
10/22/2020
A Hybrid Approach to Coded Compressed Sensing where Coupling Takes Place via the Outer Code
This article seeks to advance coded compressed sensing (CCS) as a practi...
research
∙
10/12/2020
BayReL: Bayesian Relational Learning for Multi-omics Data Integration
High-throughput molecular profiling technologies have produced high-dime...
research
∙
10/09/2020
Unsourced Random Access with Coded Compressed Sensing: Integrating AMP and Belief Propagation
Sparse regression codes with approximate message passing (AMP) decoding ...
research
∙
07/06/2020
Two-Stage Adaptive Pooling with RT-qPCR for COVID-19 Screening
We propose two-stage adaptive pooling schemes, 2-STAP and 2-STAMP, for d...
research
∙
04/09/2020
On Accelerated Testing for COVID-19 Using Group Testing
COVID-19 has resulted in a global health crisis that may become even mor...
research
∙
01/11/2020
On Approximate Message Passing for Unsourced Access with Coded Compressed Sensing
Sparse regression codes with approximate message passing (AMP) decoding ...
research
∙
11/04/2019
Polar Coding and Random Spreading for Unsourced Multiple Access
This article presents a novel transmission scheme for the unsourced, unc...
research
∙
10/22/2019
An enhanced decoding algorithm for coded compressed sensing
Coded compressed sensing is an algorithmic framework tailored to sparse ...
research
∙
10/15/2019
Non-adaptive Quantitative Group Testing Using Irregular Sparse Graph Codes
This paper considers the problem of Quantitative Group Testing (QGT) whe...
research
∙
08/26/2019
Variational Graph Recurrent Neural Networks
Representation learning over graph structured data has been mostly studi...
research
∙
08/19/2019
Semi-Implicit Graph Variational Auto-Encoders
Semi-implicit graph variational auto-encoder (SIG-VAE) is proposed to ex...
research
∙
07/25/2019
Factored LT and Factored Raptor Codes for Large-Scale Distributed Matrix Multiplication
We propose two coding schemes for distributed matrix multiplication in t...
research
∙
07/12/2019
Random Khatri-Rao-Product Codes for Numerically-Stable Distributed Matrix Multiplication
We propose a class of codes called random Khatri-Rao-Product (RKRP) code...
research
∙
07/03/2019
Spatially-Coupled Neural Network Architectures
In this work, we leverage advances in sparse coding techniques to reduce...
research
∙
06/12/2019
A Joint Graph Based Coding Scheme for the Unsourced Random Access Gaussian Channel
This article introduces a novel communication paradigm for the unsourced...
research
∙
05/31/2019
Collaborative Decoding of Polynomial Codes for Distributed Computation
We show that polynomial codes (and some related codes) used for distribu...
research
∙
01/22/2019
Sparse Graph Codes for Non-adaptive Quantitative Group Testing
This paper considers the problem of quantitative group testing with a no...
research
∙
11/02/2018
Asynchronous Neighbor Discovery Using Coupled Compressive Sensing
The neighbor discovery paradigm finds wide application in Internet of Th...
research
∙
09/13/2018
A Coupled Compressive Sensing Scheme for Uncoordinated Multiple Access
This article introduces a novel communication scheme for the uncoordinat...
research
∙
05/31/2018