activity
20102026
most citedCoded Demixing for Unsourced Random Access

22 citations · 102 across the 45 of their papers we have counts for

collaborators
Showing 2018Show all

5 papers · 1 filter

eess.SP2018

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…

eess.SP2018★ 14 cited

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…

cs.IT2018

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…

cs.IT2018★ 5 cited

A Systematic Approach to Incremental Redundancy over Erasure Channels

Anoosheh Heidarzadeh, Jean-Francois Chamberland, Parimal Parag +1

As sensing and instrumentation play an increasingly important role in systems controlled over wired and wireless networks, the need to better understand delay-sensitive communicati…

cs.IT2018★ 2 cited

Rate Selection and Power Adaptation using Maximal Ratio Combining for the Random Access Gaussian Channel

Arman Hasanzadeh, Jean-Francois Chamberland, Krishna Narayanan

With the emergence of machine-driven communi- cation, there is a renewed interest in the design of random multiple access schemes for networks with large number of active devices.…