TY - GEN
T1 - Identification via Gaussian Multiple Access Channels in the Presence of Feedback
AU - Zhao, Yaning
AU - Labidi, Wafa
AU - Boche, Holger
AU - Jorswieck, Eduard
AU - Deppe, Christian
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85216553146&partnerID=8YFLogxK
U2 - 10.1109/ITW61385.2024.10806939
DO - 10.1109/ITW61385.2024.10806939
M3 - Conference contribution
AN - SCOPUS:85216553146
T3 - 2024 IEEE Information Theory Workshop, ITW 2024
SP - 783
EP - 788
BT - 2024 IEEE Information Theory Workshop, ITW 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2024 IEEE Information Theory Workshop, ITW 2024
Y2 - 24 November 2024 through 28 November 2024
ER -