An optimal calibration factor for mutual information effective SINR mapping scheme in 5G NR

被引:0
|
作者
Kim, Hyeongseok [1 ]
Seol, Kwon [2 ]
Kim, Jeongchang [1 ]
机构
[1] Korea Maritime & Ocean Univ, Dept Elect & Commun Engn, Interdisciplinary Major Maritime AI Convergence, Busan, South Korea
[2] LIG Nex1, Radar Res Inst, Yongin, South Korea
基金
新加坡国家研究基金会;
关键词
5G mobile communication; channel estimation; wireless communications; FAST LINK ADAPTATION;
D O I
10.1049/ell2.13159
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
In this letter, an optimal calibration factor for mutual information effective signal-to-interference-plus-noise ratio (SINR) mapping (MIESM) scheme in fifth-generation new radio (5G NR) is provided. By applying the optimal calibration factor to the MIESM scheme, the estimation accuracy of the effective SINR can be improved. The optimal calibration factor minimizes the mean squared error (MSE) of the difference between the estimated effective SINR and the required SNR under additive white Gaussian noise (AWGN) at a block error rate (BLER) of 10%. Simulation results show that the optimized MIESM scheme outperforms the non-optimized MIESM scheme. This letter provides an accuracy of CQI selection according to the equalization scheme in the 5G NR receiver. In addition, an optimization of the MIESM scheme is performed to obtain an accuracy of CQI selection for the 5G NR receiver. As the optimization results, the optimal value of calibration factor is proposed in this letter. image
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页数:4
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