DocumentCode
88097
Title
DARE: DoF-Aided Random Encoding for Network Coding Over Lossy Line Networks
Author
Saxena, Paresh ; Vazquez-Castro, M.A.
Author_Institution
Dept. of Telecommun. & Syst. Eng., Univ. Autonoma de Barcelona, Barcelona, Spain
Volume
19
Issue
8
fYear
2015
fDate
Aug. 2015
Firstpage
1374
Lastpage
1377
Abstract
In this letter, we propose a practical (low delay and low overhead) and simple (low complexity) network coding strategy for real time transmission over lossy line networks. We propose Systematic Random Coding (SRC) as outer code, which is performed at the transmitter node. The inner code is a combination of random coding and repetition coding (over innovative packets only) performed at the intermediate nodes. Our solution, which we term DARE (DoF Aided Random Encoding) minimizes overall processing complexity, delay, and overhead w.r.t. state-of-the art network coding proposals. We derive a theoretical lower bound on the achievable rates of DARE and validate it with simulations. Our simulation results show that DARE guarantees maximum achievable rates (up to 103.36%) higher than those achieved by routing. Furthermore, enabling DARE to be adaptive to the channel conditions allows trade off, whether to encode or not, since by not encoding (e.g., in some cases) up to 50% complexity reduction can be obtained with up to 0.2% loss in the maximum achievable rates.
Keywords
adaptive codes; channel coding; network coding; random codes; telecommunication network routing; transmitters; DARE; DoF-aided random encoding; adaptive encoding; channel encoding; lossy line network routing; network coding strategy; overall processing complexity minimization; repetition coding; systematic random coding; transmitter node; Complexity theory; Decoding; Delays; Encoding; Network coding; Routing; Systematics; Systematic random network coding; data communications; forwards erasure correction;
fLanguage
English
Journal_Title
Communications Letters, IEEE
Publisher
ieee
ISSN
1089-7798
Type
jour
DOI
10.1109/LCOMM.2015.2441054
Filename
7117384
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