TY - JOUR
T1 - On Polar Coding for Side Information Channels
AU - Beilin, Barak
AU - Burshtein, David
N1 - Publisher Copyright:
© 1963-2012 IEEE.
PY - 2021/2
Y1 - 2021/2
N2 - We propose a successive cancellation list (SCL) encoding and decoding scheme for the Gelfand Pinsker (GP) problem based on the known nested polar coding scheme. It applies SCL encoding for the source coding part, and SCL decoding with a properly defined CRC for the channel coding part. The scheme shows improved performance compared to the existing method. A known issue with nested polar codes for binary dirty paper is the existence of frozen channel code bits that are not frozen in the source code. These bits need to be retransmitted in a second phase of the scheme, thus reducing the rate and increasing the required blocklength. We provide an improved bound on the size of this set, and on its scaling with respect to the blocklength, when the Bhattacharyya parameter of the test channel used for source coding is sufficiently large, or the Bhattacharyya parameter of the channel seen at the decoder is sufficiently small. The result is formulated for an arbitrary binary-input memoryless GP problem, since unlike the previous results, it does not require degradedness of the two channels mentioned above. Finally, we present simulation results for binary dirty paper and noisy write once memory codes.
AB - We propose a successive cancellation list (SCL) encoding and decoding scheme for the Gelfand Pinsker (GP) problem based on the known nested polar coding scheme. It applies SCL encoding for the source coding part, and SCL decoding with a properly defined CRC for the channel coding part. The scheme shows improved performance compared to the existing method. A known issue with nested polar codes for binary dirty paper is the existence of frozen channel code bits that are not frozen in the source code. These bits need to be retransmitted in a second phase of the scheme, thus reducing the rate and increasing the required blocklength. We provide an improved bound on the size of this set, and on its scaling with respect to the blocklength, when the Bhattacharyya parameter of the test channel used for source coding is sufficiently large, or the Bhattacharyya parameter of the channel seen at the decoder is sufficiently small. The result is formulated for an arbitrary binary-input memoryless GP problem, since unlike the previous results, it does not require degradedness of the two channels mentioned above. Finally, we present simulation results for binary dirty paper and noisy write once memory codes.
KW - Gelfand Pinsker problem
KW - Polar codes
KW - dirty paper problem
KW - side information channels
UR - http://www.scopus.com/inward/record.url?scp=85100036262&partnerID=8YFLogxK
U2 - 10.1109/TIT.2020.3035658
DO - 10.1109/TIT.2020.3035658
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AN - SCOPUS:85100036262
SN - 0018-9448
VL - 67
SP - 673
EP - 685
JO - IEEE Transactions on Information Theory
JF - IEEE Transactions on Information Theory
IS - 2
M1 - 9247135
ER -