DocumentCode
1760632
Title
Achievable Rates for Noisy Channels With Synchronization Errors
Author
Rahmati, Mehdi ; Duman, Tolga M.
Author_Institution
Sch. of Electr., Comput. & Energy Eng. (ECEE), Arizona State Univ., Tempe, AZ, USA
Volume
62
Issue
11
fYear
2014
fDate
Nov. 2014
Firstpage
3854
Lastpage
3863
Abstract
We develop several lower bounds on the capacity of binary input symmetric output channels with synchronization errors, which also suffer from other types of impairments such as substitutions, erasures, additive white Gaussian noise (AWGN), etc. More precisely, we show that if a channel suffering from synchronization errors as well as other type of impairments can be decomposed into a cascade of two component channels where the first one is another channel with synchronization errors and the second one is a memoryless channel (with no synchronization errors), a lower bound on the capacity of the original channel in terms of the capacity of the component synchronization error channel can be derived. A primary application of our results is that we can employ any lower bound derived on the capacity of the component synchronization error channel to find lower bounds on the capacity of the (original) noisy channel with synchronization errors. We apply the general ideas to several specific classes of channels such as synchronization error channels with erasures and substitutions, with symmetric q-ary outputs and with AWGN explicitly, and obtain easy-to-compute bounds. We illustrate that, with our approach, it is possible to derive tighter capacity lower bounds compared to the currently available bounds in the literature for certain classes of channels, e.g., deletion/substitution channels and deletion/AWGN channels (for certain signal-to-noise ratio (SNR) ranges).
Keywords
AWGN channels; error statistics; synchronisation; AWGN; additive white Gaussian noise; binary input symmetric output channels; component synchronization error channel; memoryless channel; noisy channels; symmetric q-ary outputs; AWGN channels; Channel models; Educational institutions; Entropy; Memoryless systems; Noise measurement; Synchronization; Synchronization errors; achievable rates; channel capacity; insertion/deletion channels;
fLanguage
English
Journal_Title
Communications, IEEE Transactions on
Publisher
ieee
ISSN
0090-6778
Type
jour
DOI
10.1109/TCOMM.2014.2361330
Filename
6915855
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