DocumentCode
1982722
Title
Complexity reduction of blind decoding schemes using CRC splitting
Author
Eriksson, Johan ; Moosavi, Reza ; Larsson, Erik G.
Author_Institution
Dept. of Electr. Eng. (ISY), Linkoping Univ., Linkoping, Sweden
fYear
2012
fDate
3-7 Dec. 2012
Firstpage
3731
Lastpage
3736
Abstract
Blind decoding, used on control channels of some multi-user wireless access systems, is a technique for achieving adaptive modulation and coding. The idea is to adapt the modulation and coding scheme to the channel quality but instead of signaling the parameters used explicitly, the receiver blindly tries a number of fixed parameter combinations until a successful decoding attempt is detected, with the help of a cyclic redundancy check. In this paper we suggest a new method for reducing the complexity and energy consumption associated with such blind decoding schemes. Our idea is to use a mini-CRC injected early in the data stream to determine if the current decoding attempt is using the correct modulation and coding parameters. We analyze and exemplify the complexity gain of this approach and also investigate the impact of the rearrangement of the CRC scheme in terms of the probability of undetected error. The presented results for the complexity gain are promising and the impact on the error detection capability turns out to be small if any.
Keywords
adaptive codes; adaptive modulation; channel coding; communication complexity; cyclic redundancy check codes; decoding; energy consumption; error statistics; wireless channels; CRC splitting; adaptive coding; adaptive modulation; blind decoding scheme; channel quality; coding parameters; complexity gain; complexity reduction; control channels; cyclic redundancy check; data stream; energy consumption reduction; error detection capability; miniCRC; modulation parameters; multiuser wireless access systems; undetected error probability; Adaptive coding and modulation; Blind decoding; CRC splitting; Code detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Global Communications Conference (GLOBECOM), 2012 IEEE
Conference_Location
Anaheim, CA
ISSN
1930-529X
Print_ISBN
978-1-4673-0920-2
Electronic_ISBN
1930-529X
Type
conf
DOI
10.1109/GLOCOM.2012.6503697
Filename
6503697
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