Joint TL-SCL-BPPC Decoder for the Double Deep Polar Codes

Joint Source-Channel Coding (JSCC) has emerged as a major trend with the introduction of advanced technologies. High reconstruction quality, low cliff effect, and high spectral efficiency are the main goals behind the development of these techniques. However, traditional approaches have a large comp...

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Bibliographic Details
Published in:Wireless personal communications Vol. 141; no. 3-4; pp. 519 - 542
Main Authors: Babu, Tummala Aravinda, Reddy, Karna Vishnu Vardhana, Reddy, D. Venkat, Rao, M. V. Nageswara, Satyanarayana, T. V. V.
Format: Journal Article
Language:English
Published: New York Springer US 01.04.2025
Springer Nature B.V
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ISSN:0929-6212, 1572-834X
Online Access:Get full text
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Summary:Joint Source-Channel Coding (JSCC) has emerged as a major trend with the introduction of advanced technologies. High reconstruction quality, low cliff effect, and high spectral efficiency are the main goals behind the development of these techniques. However, traditional approaches have a large computation overhead and decoding errors. A novel Double Deep Polar Coding/DECoding (DDP-Codec) for JSCC is presented in this paper. The proposed DDP-Codec encoder structure consists of two cascaded polar codes. Deep polar code is an advanced version of polar codes in which the performance is enhanced with additional layers of encoding /decoding processes. Deep polar codes are used for channel error correction, in which the polar code compresses the source information. For source and channel decoding, the proposed model presents a joint Turbo-Like Successive Cancelation List with Back Propagation Parity Checks (TL-SCL-BPPC) decoder. Internal iterations are carried out independently by the source and channel decoders. The exchange of soft information between joint decoders is performed in an external iteration. In order to obtain the original information, the soft information of the channel polar code generated by the source decoding process using the external iteration of the TL-SCL-BPPC. The performance of the proposed approach is evaluated with various performance metrics and compared with state-of-the-art approaches. By using the proposed approach, the Frame Error Rate (FER), Mean Square Error (MSE), BiLingual Evaluation Understudy (BLEU), and average bits are improved by 0.05%, 0.10%, 0.09%, and 25%, respectively.
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ISSN:0929-6212
1572-834X
DOI:10.1007/s11277-025-11791-7