Title
A Lower Bound on the Expected Distortion of Joint Source-Channel Coding
Abstract
We consider the classic joint source-channel coding problem of transmitting a memoryless source over a memoryless channel. The focus of this work is on the long-standing open problem of finding the rate of convergence of the smallest attainable expected distortion to its asymptotic value, as a function of the blocklength n. Our main result is that in general the convergence rate is not faster than n <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">-1/2</sup> . In particular, we show that for the problem of transmitting i.i.d uniform bits over a binary symmetric channels with Hamming distortion, the smallest attainable distortion (bit error rate) is at least Ω(n <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">-1/2</sup> ) above the asymptotic value, if the “bandwidth expansion ratio” is above 1.
Year
DOI
Venue
2020
10.1109/TIT.2020.2983148
IEEE Transactions on Information Theory
Keywords
DocType
Volume
Joint source-channel coding,finite blocklength,binary symmetric channel (BSC),broadcast channel
Journal
66
Issue
ISSN
Citations 
8
0018-9448
1
PageRank 
References 
Authors
0.37
0
3
Name
Order
Citations
PageRank
Yuval Kochman122626.22
Or Ordentlich212118.37
yury polyanskiy3114187.77