Suppr超能文献

具有噪声反馈的中继信道的反馈方法及其安全性分析

Feedback Approach for the Relay Channel with Noisy Feedback and Its Security Analysis.

作者信息

Hu Rong, Zhang Haonan, Yang Huan

机构信息

School of Intelligence Technology, Geely University of China, Chengdu 610000, China.

School of Information Science and Technology, Southwest JiaoTong University, Chengdu 610031, China.

出版信息

Entropy (Basel). 2024 Jul 30;26(8):651. doi: 10.3390/e26080651.

Abstract

Relay channels capture the essence of several important communication scenarios such as sensor network and satellite communication. In this paper, first, we propose an efficient coding scheme for an additive white Gaussian noise (AWGN) relay channel in the presence of AWGN feedback, which generalizes the conventional scheme for the AWGN relay channel with noiseless feedback by introducing a lattice-based strategy to eliminate the impact of the feedback channel noise on the performance of the original scheme. Next, we further extend the proposed scheme to the multi-input single-output (MISO) fading relay channel (FRC) with noisy feedback. The key to this extension is to use a pre-coding strategy to transform the MISO channel into a single-input single-output (SISO) channel and applying a two-dimensional lattice coding strategy to deal with the feedback fading channel noise. Finally, we analyze the security performance of our proposed scheme in several cases, and the results of this paper are further illustrated by numerical examples.

摘要

中继信道抓住了诸如传感器网络和卫星通信等几个重要通信场景的本质。在本文中,首先,我们针对存在加性高斯白噪声(AWGN)反馈的AWGN中继信道提出了一种高效编码方案,该方案通过引入基于格的策略来消除反馈信道噪声对原方案性能的影响,从而推广了具有无噪声反馈的AWGN中继信道的传统方案。接下来,我们将所提出的方案进一步扩展到具有噪声反馈的多输入单输出(MISO)衰落中继信道(FRC)。这种扩展的关键是使用预编码策略将MISO信道转换为单输入单输出(SISO)信道,并应用二维格编码策略来处理反馈衰落信道噪声。最后,我们分析了所提方案在几种情况下的安全性能,本文的结果通过数值示例进一步说明。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3cb4/11353475/877f4acef11a/entropy-26-00651-g0A1.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验