Research on energy-efficient physical-layer secure transmission mechanism in decode-and-forward cooperative networks

Dong WANG; Yong-cheng LI; Bo BAI; Man-xi WANG

doi:10.11959/j.issn.1000-436x.2017011

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Research on energy-efficient physical-layer secure transmission mechanism in decode-and-forward cooperative networks

Papers | 更新时间：2024-06-05

- Research on energy-efficient physical-layer secure transmission mechanism in decode-and-forward cooperative networks
- Journal on Communications Vol. 38, Issue 1, Pages: 89-96(2017)
- 作者机构：
  
  1. 电子信息系统复杂电磁环境效应国家重点实验室，河南洛阳 471003
  2. 清华大学电子工程系，北京100084
  3. 新星技术研究所，安徽合肥 230031
  4. 北京邮电大学网络与交换技术国家重点实验室，北京 100876
- 作者简介：
- 基金信息：
  
  The Open Project Foundation of CEMEE State Key Laboratory(CEMEE2015K0204B)
- DOI：10.11959/j.issn.1000-436x.2017011
  CLC： TN918.91
- Online First：2017-01，
  
  Published：25 January 2017
- 稿件说明：
移动端阅览
Dong WANG, Yong-cheng LI, Bo BAI, et al. Research on energy-efficient physical-layer secure transmission mechanism in decode-and-forward cooperative networks[J]. Journal on Communications, 2017, 38(1): 89-96.
DOI：

Dong WANG, Yong-cheng LI, Bo BAI, et al. Research on energy-efficient physical-layer secure transmission mechanism in decode-and-forward cooperative networks[J]. Journal on Communications, 2017, 38(1): 89-96. DOI： 10.11959/j.issn.1000-436x.2017011.

摘要

针对物理层安全信息传输过程中的功率和能量制约，研究解码转发中继网络中的能量高效利用问题，基于分式规划和DC(difference of convex functions)规划理论，提出一种迭代的发送功率分配算法。该算法在满足节点峰值功率约束和系统最小保密速率要求下，联合进行源和中继的功率分配，实现高能效的物理层安全传输。仿真结果表明，与传统的最大化保密速率相比，该安全能效最大化算法能显著提高系统的能量利用效率。

Abstract

The maximization problem of secure energy efficiency (EE) in decode-and-forward relay networks was investigated considering the power and energy constraints in physical-layer secure transmission.An iterative algorithm for power allocation was proposed based on fractional programming and DC (difference of convex functions) programming.This algorithm jointly allocated power for source and relay nodes to achieve energy-efficient secure transmission

subject to the peak power constraint of each node and the minimum secrecy rate requirement of the system.Simulation results demonstrate that the propose algorithm can improve the secure EE significantly compared with the conventional secrecy rate maximization strategy.

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references

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