Partitioned Successive-Cancellation List Decoding Of Polar Codes

Successive-cancellation list (SCL) decoding is an algorithm that provides very good error-correction performance for polar codes. However, its hardware implementation requires a large amount of memory, mainly to store intermediate results. In this paper, a partitioned SCL algorithm is proposed to reduce the large memory requirements of the conventional SCL algorithm. The decoder tree is broken into partitions that are decoded separately. We show that with careful selection of list sizes and number of partitions, the proposed algorithm can outperform conventional SCL while requiring less memory.


Published in:
2016 Ieee International Conference On Acoustics, Speech And Signal Processing Proceedings, 957-960
Presented at:
IEEE International Conference on Acoustics, Speech, and Signal Processing, Shanghai, PEOPLES R CHINA, MAR 20-25, 2016
Year:
2016
Publisher:
New York, Ieee
ISSN:
1520-6149
ISBN:
978-1-4799-9988-0
Keywords:
Laboratories:




 Record created 2017-01-24, last modified 2019-12-05


Rate this document:

Rate this document:
1
2
3
 
(Not yet reviewed)