Technical Program

Paper Detail

Paper IDW.3.2
Paper Title On Approximate Message Passing for Unsourced Access with Coded Compressed Sensing
Authors Vamsi Amalladinne, Asit Kumar Pradhan, Texas A&M University, College Station, United States; Cynthia Rush, Columbia University, United States; Jean-Francois Chamberland, Krishna Narayanan, Texas A&M University, College Station, United States
Session W.3: Random Access I
Presentation Lecture
Track Wireless Communications
Manuscript  Click here to download the manuscript
Virtual Presentation  Click here to watch in the Virtual Symposium
Abstract 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 access with coded compressed sensing (CCS), as first pointed out by Fengler, Jung, and Caire. More specifically, their approach uses a concatenated coding framework with an inner AMP decoder followed by an outer tree decoder. In the original implementation, these two components work independently of each other, with the tree decoder acting on the static output of the AMP decoder. This article introduces a novel framework where the inner AMP decoder and the outer tree decoder operate in tandem, dynamically passing information back and forth to take full advantage of the underlying CCS structure. The enhanced architecture exhibits significant performance benefit over a range of system parameters.

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2021 IEEE International Symposium on Information Theory

11-16 July 2021 | Melbourne, Victoria, Australia

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