Evaluation of SNR Estimation Errors on Amplify-and-Forward Relaying Performance

被引：0

作者：

Shi, Rui ^{[1
,2
]}

Chen, Yunfei ^{[3
]}

Long, Min ^{[4
]}

Feng, Wei ^{[1
,5
]}

Ge, Ning ^{[1
,5
]}

Lu, Jianhua ^{[1
,5
]}

机构：

[1] Tsinghua Univ, Tsinghua Natl Lab Informat Sci & Technol, Beijing 100084, Peoples R China

[2] Tsinghua Univ, Sch Aerosp Engn, Beijing 100084, Peoples R China

[3] Univ Warwick, Sch Engn, Coventry CV4 7AL, W Midlands, England

[4] Changsha Univ Sci & Technol, Dept Comp & Commun Engn, Changsha Shi, Hunan Sheng, Peoples R China

[5] Tsinghua Univ, Dept Elect Engn, Beijing 100084, Peoples R China

来源：

2016 23RD INTERNATIONAL CONFERENCE ON TELECOMMUNICATIONS (ICT) | 2016年

关键词：

Amplify-and-forward; outage probability; SNR estimation; CHANNEL ESTIMATION; SYSTEMS; DIVERSITY; NETWORKS;

D O I：

10.1109/ICT.2016.7500375

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Previous works on amplify-and-forward relaying assume either perfect signal-to-noise ratio or imperfect channel gain but perfect noise power. In this work, the effect of signal-to-noise ratio estimation error that assumes imperfect channel gain as well as imperfect noise power is investigated for Rayleigh fading channels. The maximum likelihood estimators are used to obtain the channel gain and noise power estimates. Both probability density function and cumulative distribution function of the end-to-end SNR with estimation errors are derived, based on which exact expression for the outage probability is obtained. Simulation results are provided to verify the analysis.

引用

页数：5

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