...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Nano communication networks >Low-weight error-prevention codes for electromagnetic nanonetworks in the Terahertz Band
【24h】

Low-weight error-prevention codes for electromagnetic nanonetworks in the Terahertz Band

机译：太赫兹频带中电磁纳米网络的轻量级错误预防代码

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

In this paper, a novel error control strategy for electromagnetic nanonetworks, based on the utilization of low-weight channel codes and aimed at the prevention of channel errors, is proposed. In particular, it is first analytically shown that both the molecular absorption noise and the multi-user interference in nanonetworks can be mitigated by reducing the channel code weight, which results into a lower channel error probability. Then, the relation between the channel code weight and the code word length is analyzed for the case of utilizing constant weight codes. Finally, the performance of the proposed strategy is analytically and numerically investigated in terms of the achievable information rate after coding and the Codeword Error Rate (CER). Two different receiver architectures are considered, namely, an ideal soft-receiver and a hard receiver. An accurate Terahertz Band channel model and novel stochastic models for the molecular absorption noise and the multi-user interference, validated with COMSOL, are utilized. The results show that low-weight channel codes can be used to reduce the CER without compromising the achievable information rate or even increasing it, especially for the hard-receiver architecture. Moreover, it is shown that there is an optimal code weight, for which the information rate is maximized.
机译：在本文中，基于低权信道码的使用，提出了一种新颖的电磁纳米网络差错控制策略，旨在防止信道差错。特别地，首先分析地显示，可以通过减小信道码权重来减轻纳米网络中的分子吸收噪声和多用户干扰，这导致较低的信道错误概率。然后，对于利用恒定权重码的情况，分析信道码权重和码字长度之间的关系。最后，根据编码后可获得的信息率和码字错误率（CER），对所提出策略的性能进行了分析和数值研究。考虑了两种不同的接收机架构，即理想的软接收机和硬接收机。利用COMSOL验证的精确的太赫兹带通道模型和分子吸收噪声和多用户干扰的新型随机模型。结果表明，低权重信道代码可用于降低CER，而不会损害可达到的信息速率，甚至不会提高信息速率，特别是对于硬接收器体系结构而言。此外，示出了存在最优的码权重，为此，信息率被最大化。

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