TY - GEN
T1 - Deterministic identification over fading channels
AU - Salariseddigh, Mohammad J.
AU - Pereg, Uzi
AU - Boche, Holger
AU - Deppe, Christian
N1 - Publisher Copyright:
©2021 IEEE
PY - 2021/4/11
Y1 - 2021/4/11
N2 - Deterministic identification (DI) is addressed for Gaussian channels with fast and slow fading, where channel side information is available at the decoder. In particular, it is established that the number of messages scales as 2n log(n)R , where n is the block length and R is the coding rate. Lower and upper bounds on the DI capacity are developed in this scale for fast and slow fading. Consequently, the DI capacity is infinite in the exponential scale and zero in the double-exponential scale, regardless of the channel noise.
AB - Deterministic identification (DI) is addressed for Gaussian channels with fast and slow fading, where channel side information is available at the decoder. In particular, it is established that the number of messages scales as 2n log(n)R , where n is the block length and R is the coding rate. Lower and upper bounds on the DI capacity are developed in this scale for fast and slow fading. Consequently, the DI capacity is infinite in the exponential scale and zero in the double-exponential scale, regardless of the channel noise.
KW - Channel side information
KW - Deterministic codes
KW - Fading channels
KW - Identification without randomization
KW - Super exponential growth
UR - http://www.scopus.com/inward/record.url?scp=85110934262&partnerID=8YFLogxK
U2 - 10.1109/ITW46852.2021.9457587
DO - 10.1109/ITW46852.2021.9457587
M3 - Conference contribution
AN - SCOPUS:85110934262
T3 - 2020 IEEE Information Theory Workshop, ITW 2020
BT - 2020 IEEE Information Theory Workshop, ITW 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 IEEE Information Theory Workshop, ITW 2020
Y2 - 11 April 2021 through 15 April 2021
ER -