A Low Complexity Encoding Algorithm for Systematic Polar Codes

Arıkan has shown that systematic polar codes (SPC) outperform non-SPC (NSPC). However, the performance gain comes at the price of elevated encoding complexity, i.e., compared with NSPC, the available encoding methods for SPC require higher memory and computation. In this letter, we propose an effici...

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Veröffentlicht in:IEEE communications letters Jg. 20; H. 7; S. 1277 - 1280
Hauptverfasser: Chen, Guo Tai, Zhang, Zhaoyang, Zhong, Caijun, Zhang, Liang
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 01.07.2016
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Algorithms
Complexity
Complexity theory
Computation
Decoding
Electronic mail
Encoding
encoding algorithm
Gain
Indexes
Mathematical models
Memory management
parallel encoding
Polar codes
systematic polar codes
Systematics
ISSN:1089-7798, 1558-2558
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Zusammenfassung:Arıkan has shown that systematic polar codes (SPC) outperform non-SPC (NSPC). However, the performance gain comes at the price of elevated encoding complexity, i.e., compared with NSPC, the available encoding methods for SPC require higher memory and computation. In this letter, we propose an efficient encoding algorithm requiring only N bits of memory and having (N/2)log 2 N XOR operations. Moreover, the auxiliary variables in the algorithm can share the memory to reduce extra memory requirement. Furthermore, a parallel 2-bit encoding algorithm is also presented to improve the encoding throughput. Remarkably, we show that parallel encoding can be implemented with the same number of XOR operations and memory bits. Finally, the proposed encoding algorithm can be directly used for NSPC with the same complexity.
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ISSN:1089-7798
1558-2558
DOI:10.1109/LCOMM.2016.2560169