.png){kind=icon}
返回
Efficient Algorithm for Selecting Secrecy Rate Maximizing Antennas
.png){kind=icon}
PRE
AI
DOI：10.1109/LCOMM.2013.072313.131491.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Antenna selection (AS) is poised to provide solutions to hardware complexity issues while guaranteeing untappable information flow. We investigate the AS problem set up in the context of linear precoder design for secrecy rate maximization of a multiple-input single-output system. The original problem is both non-tractable and nonconvex. We propose a provably convergent iterative procedure that sequentially solves a series of convex programs. The proposed algorithm is then refined to yield a precoder of desired sparsity. Finally, numerical experiments are performed to study the execution of AS algorithm from various different aspects.
Keyword:
Physical layer security
antenna selection
convex optimization
multiple-input single-output (MISO) system
cardinality constraint
beamforming
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
4.4
论文数:
1.3W
被引数:
2.2W
机构
暂无机构信息
引用论文
.png){kind=icon}
A green route to synthesize nitrogen-enriched graphene-like carbon nanosheets from bio-oil for supercapacitors从生物油中合成富氮类石墨烯碳纳米片的绿色途径
PREAI
分享收藏
分享收藏
查看更多内容