期刊文献+

JOINT LLR-CRC ERROR MITIGATION FOR TWO-WAY ADAPTIVE DENOISE-AND-FORWARD NETWORK CODING

JOINT LLR-CRC ERROR MITIGATION FOR TWO-WAY ADAPTIVE DENOISE-AND-FORWARD NETWORK CODING
下载PDF
导出
摘要 Network Coding (NC) brings correlation between the coded signals from different sources, which makes the system more vulnerable to the decode error at relay. Conventional Cyclic Redundancy Code (CRC) has been implemented for error bit detection. However, its error correction is simply ignored. To fully exploit this feature, this paper proposes a novel joint Log-Likelihood Ratio (LLR) CRC error mitigation for NC two way relay channel. Specific thresholds are designed to estimate the error number of data block and identify those which can be recovered if the number is within the error correction scope of CRC. We examine two modes of the thresholds, one based on the average Bit Error Rate (BER) of source-relay link, while the other based on that of instantaneous one. We provide the full analysis for the Pair-wise Error Probability (PEP) performance of the scheme. A variety of numerical results are presented to reveal the superiority of the proposed scheme to conventional CRC NC under independent Rayleigh fading channels. Moreover, the efficiencies of the proposed thresholds are also validated. Network Coding (NC) brings correlation between the coded signals from different sources which makes the system more vulnerable to the decode error at relay. Conventional Cyclic Redundancy Code (CRC) has been implemented for error bit detection. However, its error correction is simply ignored. To fully exploit this feature, this paper proposes a novel joint Log-Likelihood Ratio (LLR) CRC error mitigation for NC two way relay channel. Specific thresholds are designed to estimate the error number of data block and identify those which can be recovered if the number is within the error correction scope of CRC. We examine two modes of the thresholds, one based on the average Bit Error Rate (BER) of source-relay link, while the other based on that of instantaneous one. We provide the full analysis for the Pair-wise Error Probability (PEP) performance of the scheme. A variety of numerical results are presented to reveal the superiority of the proposed scheme to conventional CRC NC under independent Rayleigh fading channels. Moreover, the efficiencies of the proposed thresholds are also validated.
出处 《Journal of Electronics(China)》 2013年第4期352-361,共10页 电子科学学刊(英文版)
基金 Supported by the National 973 Programs (2013CB329104) the National Natural Science Foundations of China (No. 61071090, No. 61171093) the Postgraduate Innovation Programs of Scientific Research of Jiangsu Province (CXZZ11_0388) Jiangsu Province Natural Science Foundation Key Projects (11KJA510001) National Science and Technology Key Projects (2011ZX03005-004-003) Jiangsu 973 Projects (BK2011027)
关键词 Network Coding (NC) Log-Likelihood Ratio (LLR) Cyclic Redundancy Code (CRC) Denoise-and-forward Pair-wise Error Probability (PEP) CRC错误 网络编码 自适应 转发 降噪 CRC校验码 成对错误概率 瑞利衰落信道
  • 相关文献

参考文献18

  • 1R. Ahlswede, C. Ning, S. Li, et al.. Network infor- mation flow. IEEE Transactions on Information Theory, 46(2000)4, 1204-1216.
  • 2Y. D. Chen, S. Kishore, and J. Li. Wireless diversity through network coding. Proceedings of the 63rd Vehicular Technology Conference (VTC-Spring'06), Melbourne, VIC, Australia, March 7-10, 2006, 1681- 1686.
  • 3Z. G. Ding, T. Wang, and M. G. Peng. On the design of network coding for multiple two-way relaying channels. IEEE Transactions on Wireless Communi- cations, 10(2011)6, 1820-1832.
  • 4R. Louie, Y. Li, and B. Vucetic. Practical physical layer network coding for two-way relay channels: performance anMysis and comparison. IEEE Trans- actions on Wireless Communications, 9(2010)2, 764- 777.
  • 5Y. H. Li, R. Louie, and B. Vucetic. Relay selection with network coding in two-way relay channels. IEEE Transactions on Vehicular Technology, 59(2010)9, 4489-4499.
  • 6Q. Zhou, Y. H. Li, and F. Lau. Decode-and-forward two-way relaying with network coding and oppor- tunistic relay selection. IEEE Transactions on Com- munications, 58(2010)11, 3070-3076.
  • 7I. Maric, A. Goldsmith, and M. Medard. Analog network coding in the high-SNR regime. Proceedings of the IEEE Wireless Network Coding Conference (WiNC'10), Boston, MA, USA, June 21, 2010, 1-6.
  • 8S. L. Zhang, S. C. Liew, and P. P. Lam. Hot topic: physical-layer network coding. Proceedings of the 12th Annual International Conference on Mobile Computing and Networks (MobiCom'06), Los AngelesCA, USA, September 5-8, 2006, 358-365.
  • 9J. N. Laneman, T. Hunter, and G. W. Wornell. Co- operative diversity in wireless networks: efficient protocols and outage behavior. IEEE Transactions on Information Theory, 50(2004)1, 3062-3080.
  • 10K. W. Guan and K. Liu. Mitigating error propagation for wireless network coding. IEEE Transactions on Wireless Communications, 11(2012) 10, 3632-3643.

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部