Joint Source-Channel Polarization With Side Information

Jin, Liqiang; Yang, Hongwen

doi:10.1109/access.2017.2788887

Cited by 12 publications

(7 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The existing JSCD schemes with LDPC or turbo codes are not suitable for polar codes. Jin et al [27] proposed a distributed JSCD scheme for tackling general correlated sources encoded by systematic polar codes independently, and proposed a joint source-channel polarization scheme by using a quasi-uniform systematic polar code [26]. A JSCD method for language-based sources with polar encoding was exploited in [46].…”

Section: Polar Code Related Jscd Schemesmentioning

confidence: 99%

Joint Source-Channel Decoding of Polar Codes for HEVC-Based Video Streaming

Lin

Zhang

et al. 2022

ACM Trans. Multimedia Comput. Commun. Appl.

View full text Add to dashboard Cite

Ultra High-Definition (UHD) and Virtual Reality (VR) video streaming over 5G networks are emerging, in which High-Efficiency Video Coding (HEVC) is used as source coding to compress videos more efficiently and polar code is used as channel coding to transmit bitstream reliably over an error-prone channel. In this article, a novel Joint Source-Channel Decoding (JSCD) of polar codes for HEVC-based video streaming is presented to improve the streaming reliability and visual quality. Firstly, a Kernel Density Estimation (KDE) fitting approach is proposed to estimate the positions of error channel decoded bits. Secondly, a modified polar decoder called R-SCFlip is designed to improve the channel decoding accuracy. Finally, to combine the KDE estimator and the R-SCFlip decoder together, the JSCD scheme is implemented in an iterative process. Extensive experimental results reveal that, compared to the conventional methods without JSCD, the error data-frame correction ratios are increased. Averagely, 1.07% and 1.11% Frame Error Ratio (FER) improvements have been achieved for Additive White Gaussian Noise (AWGN) and Rayleigh fading channels, respectively. Meanwhile, the qualities of the recovered videos are significantly improved. For the 2D videos, the average Peak Signal-to-Noise Ratio (PSNR) and Structural SIMilarity (SSIM) gains reach 14% and 34%, respectively. For the 360֯ videos, the average improvements in terms of Weighted-to-Spherically-uniform PSNR (WS-PSNR) and Voronoi-based Video Multimethod Assessment Fusion (VI-VMAF) reach 21% and 7%, respectively.

show abstract

Section: Polar Code Related Jscd Schemesmentioning

confidence: 99%

Joint Source-Channel Decoding of Polar Codes for HEVC-Based Video Streaming

Lin

Zhang

et al. 2022

ACM Trans. Multimedia Comput. Commun. Appl.

View full text Add to dashboard Cite

show abstract

“…Then the codeword is obtained by

where

and

denote the rows of

indexed by

and

, respectively. The generator matrix is given by

where

is a bit-reversal matrix, and D is an invertible bit-swap coding matrix (refer to Section IV.A of [ 11 ] for details). It can be seen that

and

.…”

Section: Qspc and Punctured Qspcmentioning

confidence: 99%

“…The JSCC schemes based on turbo codes, LDPC codes, and polar codes can be found in [ 4 , 5 , 6 , 7 ], and [ 8 , 9 , 10 ], respectively. In particular, the authors of [ 11 ] proposed a class of systematic polar codes (SPCs), called quasi-uniform SPCs (QSPCs), and showed that QSPCs are optimal for the problem of JSCC with side information and outperform classic SPCs [ 12 ].…”

Section: Introductionmentioning

confidence: 99%

Distributed Joint Source-Channel Coding Using Quasi-Uniform Systematic Polar Codes

Jin

Yang

2018

Entropy

Self Cite

View full text Add to dashboard Cite

This paper proposes a distributed joint source-channel coding (DJSCC) scheme using polar-like codes. In the proposed scheme, each distributed source encodes source message with a quasi-uniform systematic polar code (QSPC) or a punctured QSPC, and only transmits parity bits over its independent channel. These systematic codes play the role of both source compression and error protection. For the infinite code-length, we show that the proposed scheme approaches the information-theoretical limit by the technique of joint source-channel polarization with side information. For the finite code-length, the simulation results verify that the proposed scheme outperforms the distributed separate source-channel coding (DSSCC) scheme using polar codes and the DJSCC scheme using classic systematic polar codes.

show abstract

“…For correlated sources, a joint decoding scheme using systematic polar codes is proposed in [11], which exploits the correlation among the sources. In [12], a JSCC scheme using quasi-uniform systematic polar code is proposed by introducing additional bit-swap coding to modify original polar coding. Inspired by the double low-density parity-check (LDPC) codes [13]- [15], a JSCC scheme using double polar (D-Polar) codes is proposed in our previous work [16], in which the source is first compressed by a source polar code, and then the compressed bits are protected by a systematic polar code (SPC).…”

Section: Introductionmentioning

confidence: 99%

Joint Successive Cancellation List Decoding for the Double Polar codes

Yang¹,

Niu²,

Dai³

et al. 2022

Preprint

View full text Add to dashboard Cite

As a new joint source-channel coding scheme, the double polar (D-Polar) codes have been proposed recently. In this letter, a novel joint source-channel decoder, namely the joint successive cancellation list (J-SCL) decoder, is proposed to improve the decoding performance of the D-Polar codes. We merge the trellis of the source polar code and that of the channel polar code to construct a compound trellis. In this compound trellis, the joint source-channel nodes represent both of the information bits and the high-entropy bits. Based on the compound trellis, the J-SCL decoder is designed to recover the source messages by combining the source SCL decoding and channel SCL decoding. The J-SCL decoder doubles the number of the decoding paths at each decoding level and then reserves the L paths with the smallest joint path-metric (JPM). For the JSC node, the JPM is updated considering both the channel decision log-likelihood ratios (LLRs) and the source decision LLRs. Simulation results show that the J-SCL decoder outperforms the turbo-like BP (TL-BP) decoder with lower complexity.

show abstract

Joint Source-Channel Polarization With Side Information

Cited by 12 publications

References 25 publications

Joint Source-Channel Decoding of Polar Codes for HEVC-Based Video Streaming

Joint Source-Channel Decoding of Polar Codes for HEVC-Based Video Streaming

Distributed Joint Source-Channel Coding Using Quasi-Uniform Systematic Polar Codes

Joint Successive Cancellation List Decoding for the Double Polar codes

Contact Info

Product

Resources

About