Reducing the Complexity of LDPC Decoding Algorithms: An Optimization-Oriented Approach
Författare
Summary, in English
framework for reducing the computational complexity of LDPC
decoders. Subject to specified performance constraints and
adaptive to environment conditions, the proposed framework
leverages the adjustable performance-complexity tradeoffs of
the decoder to deliver satisfying performance with minimum
computational complexity. More specifically, two constraint scenarios
are studied: the “good-enough” performance and “as good-
as-possible performance”. Moreover, we also investigate the
effects of different degrees of freedom in performance-complexity
tradeoff adjustments. The effectiveness of the proposed method
has been verified by simulating a set of LDPC codes used in IEEE
802.11 and IEEE 802.16 standards. Computational complexity
reductions of up to 35% have been observed.
Avdelning/ar
Publiceringsår
2015
Språk
Engelska
Publikation/Tidskrift/Serie
2014 IEEE 25th Annual International Symposium on Personal, Indoor, and Mobile Radio Communication (PIMRC)
Fulltext
- Available as PDF - 594 kB
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Dokumenttyp
Konferensbidrag
Förlag
IEEE - Institute of Electrical and Electronics Engineers Inc.
Ämne
- Telecommunications
- Other Electrical Engineering, Electronic Engineering, Information Engineering
Nyckelord
- Reduced complexity
- LDPC codes
- forced convergence
Conference name
IEEE 25th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 2014
Conference date
2014-09-02 - 2014-09-05
Conference place
Washington DC, United States
Status
Published
Projekt
- EIT_DARE Digitally-Assisted Radio Evolution
Forskningsgrupp
- Integrated Electronic Systems
- Communications Engineering
- Digital ASIC
- Radio Systems
ISBN/ISSN/Övrigt
- ISBN: 978-1-4799-4912-0