首页> 外文会议>IEEE International Symposium on Turbo Codes Iterative Information Processing >Iterative Double-Loop Hierarchical Decoding with Soft-Aided Bit-Wise H-SODEM in WPNC Networks
【24h】

Iterative Double-Loop Hierarchical Decoding with Soft-Aided Bit-Wise H-SODEM in WPNC Networks

机译:WPNC网络中具有软辅助位智H-SODEM的迭代双环路分层解码

获取原文

摘要

This paper addresses Wireless Physical Layer Network (WPNC) coding using Isomorphic Layered Network Coded Modulation (NCM) in hierarchical MAC stage with Hierarchical Decode and Forward (HDF) strategy. We focus on using binary component codes in bit-wise mapped higher-order hierarchical constellations and on the way how to improve the outer code iterative decoding. Soft bit-wise hierarchical decoding metric exhibits two important properties. (1) Unlike the single-user case, the hierarchical metric is many-to-one function of message symbols and even for perfect a priori soft-information, it contains hierarchical self-dispersion. (2) The bit-wise mapping itself creates a complicated nonlinear block-like inter-bit structure binding and the bit-wise observation model cannot be any longer described by single-letter entities. It also strongly depends on the source constellation bit mapping, actual bit-wise a priori PMFs, and also on the actual relative channel parametrization. We derive bit-wise soft-aided Hierarchical Soft-Output Demodulator (H-SODEM). We show how to cope with self-dispersion in specific cases. We analyze the bit error rate properties of the dual-loop soft-aided bit-wise hierarchical decoding in 2-source H-MAC HDF scenario and show significant performance improvement w.r.t. classical uniform a priori case.
机译:本文介绍了在分层MAC阶段采用分层解码和转发(HDF)策略在同构分层网络编码调制(NCM)中使用无线同质层网络(WPNC)编码的方法。我们专注于在按位映射的高阶分层星座图中使用二进制成分代码,以及如何改进外部代码迭代解码的方式。软按位分层解码度量具有两个重要的属性。 (1)与单用户情况不同,分层度量是消息符号的多对一功能,即使对于完美的先验软信息,它也包含分层的自我分散。 (2)逐位映射本身会创建复杂的非线性块状位间结构绑定,并且逐位观察模型无法再由单个字母实体描述。它还强烈取决于源星座图位映射,实际的按位先验PMF,以及实际的相对信道参数化。我们推导了按位软辅助分层软输出解调器(H-SODEM)。我们展示了在特定情况下如何应对自我分散。我们分析了2源H-MAC HDF场景中双环软辅助按位分层解码的误码率属性,并显示出显着的性能改进。经典制服先验案。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号