activity
20102026
most citedCoded Demixing for Unsourced Random Access

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

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Showing 2024Show all

5 papers · 1 filter

cs.CV2024

Camera-Based Localization and Enhanced Normalized Mutual Information

Vishnu Teja Kunde, Jean-Francois Chamberland, Siddharth Agarwal

Robust and fine localization algorithms are crucial for autonomous driving. For the production of such vehicles as a commodity, affordable sensing solutions and reliable localizati…

cs.IT2024

Multi-User SR-LDPC Codes

Jamison R. Ebert, Jean-Francois Chamberland, Krishna R. Narayanan

This article introduces a novel non-orthogonal multiple access (NOMA) scheme for coordinated uplink channels. The scheme builds on the recently proposed sparse-regression low-densi…

cs.IT2024

Coding for the unsourced B-channel with erasures: enhancing the linked loop code

William W. Zheng, Jamison R. Ebert, Stefano Rini +1

In [1], the linked loop code (LLC) is presented as a promising code for the unsourced A-channel with erasures (UACE). The UACE is an unsourced multiple access channel in which acti…

cs.IT2024

Evolution of the 5G New Radio Two-Step Random Access towards 6G Unsourced MAC

Patrick Agostini, Jean-Francois Chamberland, Federico Clazzer +7

This report summarizes some considerations on possible evolutions of grant-free random access in the next generation of the 3GPP wireless cellular standard. The analysis is carried…

cs.IT2024

Multi-User SR-LDPC Codes via Coded Demixing with Applications to Cell-Free Systems

Jamison R. Ebert, Jean-Francois Chamberland, Krishna R. Narayanan

Novel sparse regression LDPC (SR-LDPC) codes exhibit excellent performance over additive white Gaussian noise (AWGN) channels in part due to their natural provision of shaping gain…