Title :
Boosting output distributions in finite blocklength channel coding converse bounds
Author_Institution :
Sch. of Electr., Comput. & Energy Eng., Arizona State Univ., Tempe, AZ, USA
fDate :
April 26 2015-May 1 2015
Abstract :
Point-to-point channel coding is studied in the finite blocklength regime. Many existing converse bounds involve an optimization over a distribution on the channel output. This paper provides a method for generating good, if not optimal, output distributions. In particular, given any candidate output distribution, a “boosting” procedure is given that constructs a new distribution which improves the converse bound derived from the divergence spectrum. For discrete memoryless channels, it is shown that using the i.i.d. capacity-achieving output distribution as an initial guess in this procedure results in an output distribution that is good enough to derive the third-order coding rate for most channels. The finite blocklengths bounds are then applied to the Z channel.
Keywords :
channel coding; Z channel; boosting output distributions; boosting procedure; capacity-achieving output distribution; discrete memoryless channels; divergence spectrum; finite blocklength channel coding converse bounds; finite blocklength regime; point-to-point channel coding; third-order coding rate; Approximation methods; Boosting; Channel coding; Memoryless systems; Optimization; Testing;
Conference_Titel :
Information Theory Workshop (ITW), 2015 IEEE
Conference_Location :
Jerusalem
Print_ISBN :
978-1-4799-5524-4
DOI :
10.1109/ITW.2015.7133158