TY - GEN
T1 - Capacity of Frequency-based Channels
T2 - 2024 IEEE International Symposium on Information Theory, ISIT 2024
AU - Gerzon, Yuval
AU - Shomorony, Ilan
AU - Weinberger, Nir
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - We consider a molecular channel, in which messages are encoded to the frequency of objects (or concentration of molecules) in a pool, and whose output during reading time is a noisy version of the input frequencies, as obtained by sampling with replacement from the pool. We tightly characterize the capacity of this channel using upper and lower bounds, when the number of objects in the pool of objects is constrained. We apply this result to the DNA storage channel in the short-molecule regime, and show that even though the capacity of this channel is technically zero, it can still achieve a large information density.
AB - We consider a molecular channel, in which messages are encoded to the frequency of objects (or concentration of molecules) in a pool, and whose output during reading time is a noisy version of the input frequencies, as obtained by sampling with replacement from the pool. We tightly characterize the capacity of this channel using upper and lower bounds, when the number of objects in the pool of objects is constrained. We apply this result to the DNA storage channel in the short-molecule regime, and show that even though the capacity of this channel is technically zero, it can still achieve a large information density.
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U2 - 10.1109/ISIT57864.2024.10619307
DO - 10.1109/ISIT57864.2024.10619307
M3 - Conference contribution
AN - SCOPUS:85202831634
T3 - IEEE International Symposium on Information Theory - Proceedings
SP - 681
EP - 686
BT - 2024 IEEE International Symposium on Information Theory, ISIT 2024 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 7 July 2024 through 12 July 2024
ER -