TY - GEN
T1 - Large Deviations of Typical Random Codes
AU - Averbuch, Ran
AU - Merhav, Neri
AU - Fabregas, Albert Guillen I.
N1 - Publisher Copyright: © 2019 IEEE.
PY - 2019/7
Y1 - 2019/7
N2 - This work contains two main contributions concerning the large deviations behavior of randomly chosen fixed composition codes over a discrete memoryless channel (DMC). The first is an exponentially tight expression for the probability of randomly drawing a codebook that performs worse than the typical random coding (TRC) error exponent, which is proved to be exponentially small. The second is lower and upper bounds on the probability of randomly selecting a codebook that outperforms the TRC error exponent, which turn out to be double-exponentially small, suggesting that relatively good codebooks are extremely rare. The key ingredient in the proofs is a new large deviations result of type class enumerators with dependent variables.
AB - This work contains two main contributions concerning the large deviations behavior of randomly chosen fixed composition codes over a discrete memoryless channel (DMC). The first is an exponentially tight expression for the probability of randomly drawing a codebook that performs worse than the typical random coding (TRC) error exponent, which is proved to be exponentially small. The second is lower and upper bounds on the probability of randomly selecting a codebook that outperforms the TRC error exponent, which turn out to be double-exponentially small, suggesting that relatively good codebooks are extremely rare. The key ingredient in the proofs is a new large deviations result of type class enumerators with dependent variables.
UR - http://www.scopus.com/inward/record.url?scp=85073163119&partnerID=8YFLogxK
U2 - 10.1109/ISIT.2019.8849481
DO - 10.1109/ISIT.2019.8849481
M3 - منشور من مؤتمر
T3 - IEEE International Symposium on Information Theory - Proceedings
SP - 2933
EP - 2937
BT - 2019 IEEE International Symposium on Information Theory, ISIT 2019 - Proceedings
T2 - 2019 IEEE International Symposium on Information Theory, ISIT 2019
Y2 - 7 July 2019 through 12 July 2019
ER -