Identification via Gaussian Multiple Access Channels in the Presence of Feedback

We investigate message identification over a K-sender Gaussian multiple access channel (K-GMAC). Unlike conventional Shannon transmission codes, the size of randomized identification (ID) codes experiences a doubly exponential growth in the code length. Improvements in the ID approach can be attained through additional resources such as quantum entanglement, common randomness (CR), and feedback. It has been demonstrated that an infinite capacity can be attained for a single-user Gaussian channel with noiseless feedback, irrespective of the chosen rate scaling. We establish the capacity region of both the K-sender Gaussian multiple access channel (K-GMAC) and the K-sender state-dependent Gaussian multiple access channel (K-SD-GMAC) when strictly causal noiseless feedback is available.

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Published
2024-11-24
DOI
https://doi.org/10.1109/itw61385.2024.10806939
Primary Topic
Distributed Sensor Networks and Detection Algorithms
Type
article
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Identification via Gaussian Multiple Access Channels in the Presence of Feedback

Holger Boche, Eduard A. Jorswieck, Christian Deppe, Wafa Labidi et al.
Distributed Sensor Networks and Detection Algorithms
article

Identification via Gaussian Multiple Access Channels in the Presence of Feedback

Holger Boche, Eduard A. Jorswieck, Christian Deppe, Wafa Labidi, Yaning Zhao
article en

Abstract

We investigate message identification over a K-sender Gaussian multiple access channel (K-GMAC). Unlike conventional Shannon transmission codes, the size of randomized identification (ID) codes experiences a doubly exponential growth in the code length. Improvements in the ID approach can be attained through additional resources such as quantum entanglement, common randomness (CR), and feedback. It has been demonstrated that an infinite capacity can be attained for a single-user Gaussian channel with noiseless feedback, irrespective of the chosen rate scaling. We establish the capacity region of both the K-sender Gaussian multiple access channel (K-GMAC) and the K-sender state-dependent Gaussian multiple access channel (K-SD-GMAC) when strictly causal noiseless feedback is available.

Technical University of Munich (DE), Technische Universität Braunschweig (DE)
Openalex Percentile: Top 72%
Distributed Sensor Networks and Detection Algorithms
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Identification via Gaussian Multiple Access Channels in the Presence of Feedback — Holger Boche, Eduard A. Jorswieck, et al. · (2024) | TGRS Research Map | TGRS