Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/101740
| Title: | Weighted zigzag decodable fountain codes for unequal error protection | Authors: | Zhang, Y Zhao, Y Lau, FCM Zhang, B Zhu, Z Yu, H |
Issue Date: | Oct-2022 | Source: | IET Communications, Oct. 2022, v. 16, no. 17, p. 2082-2090 | Abstract: | By combining bit-shift and exclusive-or operations, a weighted zigzag decodable fountain code is proposed to achieve an unequal error protection property. In the proposed scheme, the input symbols of different importance levels are first pre-coded into variable nodes using low-density parity-check codes. Then, bit-shift operations prior to exclusive-or are performed on the non-uniformly selected variable nodes to generate encoded symbols. An analysis of the erasure probabilities based on the and-or tree is further introduced. Simulation results show that by appropriately choosing the maximum bit-shift amount, the proposed weighted zigzag decodable fountain codes can successfully recover the more important input symbols prior to the less important ones. | Publisher: | Institution of Engineering and Technology | Journal: | IET communications | ISSN: | 1751-8628 | EISSN: | 1751-8636 | DOI: | 10.1049/cmu2.12462 | Rights: | © 2022 The Authors. IET Communications published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology. This is an open access article under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits use, distribution and reproduction in any medium, provided the original work is properly cited. The following publication Zhang, Y., Zhao, Y., Lau, F. C., Zhang, B., Zhu, Z., & Yu, H. (2022). Weighted zigzag decodable fountain codes for unequal error protection. IET Communications, 16(17), 2082-2090 is available at https://doi.org/10.1049/cmu2.12462. |
| Appears in Collections: | Journal/Magazine Article |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| IET Communications - 2022 - Zhang.pdf | 1.38 MB | Adobe PDF | View/Open |
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