TY - GEN
T1 - Deterministic K-Identification for Binary Symmetric Channel
AU - Dabbabi, Ons
AU - Salariseddigh, Mohammad Javad
AU - Deppe, Christian
AU - Boche, Holger
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Deterministic K-Identification (DKI) for the binary symmetric channel (BSC) is developed. A full characterization of the DKI capacity for such a channel, with and without the Hamming weight constraint, is established. As a key finding, we find that for deterministic encoding the number of identifiable messages K may grow exponentially with the codeword length n, i.e., K = 2κn, where κ is the target identification rate. Furthermore, the eligible region for κ as a function of the channel statistics, i.e., the crossover probability, is determined.
AB - Deterministic K-Identification (DKI) for the binary symmetric channel (BSC) is developed. A full characterization of the DKI capacity for such a channel, with and without the Hamming weight constraint, is established. As a key finding, we find that for deterministic encoding the number of identifiable messages K may grow exponentially with the codeword length n, i.e., K = 2κn, where κ is the target identification rate. Furthermore, the eligible region for κ as a function of the channel statistics, i.e., the crossover probability, is determined.
UR - https://www.scopus.com/pages/publications/85187375097
U2 - 10.1109/GLOBECOM54140.2023.10437449
DO - 10.1109/GLOBECOM54140.2023.10437449
M3 - Conference contribution
AN - SCOPUS:85187375097
T3 - Proceedings - IEEE Global Communications Conference, GLOBECOM
SP - 4381
EP - 4386
BT - GLOBECOM 2023 - 2023 IEEE Global Communications Conference
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 IEEE Global Communications Conference, GLOBECOM 2023
Y2 - 4 December 2023 through 8 December 2023
ER -