Title :
Achievable and converse bounds over a general channel and general decoding metric
Author :
Elkayam, Nir ; Feder, Meir
Author_Institution :
Dept. of Electr. Eng. Syst., Tel-Aviv Univ., Tel Aviv, Israel
fDate :
April 26 2015-May 1 2015
Abstract :
Achievable and converse bounds for general channels and mismatched decoding are derived. The direct (achievable) bound is derived using random coding and the analysis is tight up to factor 2. The converse is given in term of the achievable bound and the factor between them is given. This gives performance of the best rate-R code with possible mismatched decoding metric over a general channel, up to the factor that is identified. In the matched case we show that the converse equals the minimax meta-converse of Polyanskiy et al. [1].
Keywords :
channel coding; random codes; decoding metric; general channels; general decoding metric; minimax meta-converse; mismatched decoding; random coding; rate-R code; Encoding; Error probability; Maximum likelihood decoding; Measurement; Pairwise error probability;
Conference_Titel :
Information Theory Workshop (ITW), 2015 IEEE
Conference_Location :
Jerusalem
Print_ISBN :
978-1-4799-5524-4
DOI :
10.1109/ITW.2015.7133137