Performance Evaluation of Signal-to-Interference Plus Noise Ratio (SINR) with respect to Channel State Information (CSI) Error Variance in Adaptive Modulation in 5G New Radio
Keywords:
Channel state information and adaptive modulation, Error variance, Signal-to-interference plus noise ratioAbstract
The signal-to-noise plus-interference ratio, or SINR, is calculated by dividing the power of a particular signal of interest by the total of the background noise and interference powers. The SINR gives the extent of the interference in the signal; thus, a high SINR indicates the signal is of good quality. Some measurable metrics such as channel state information error variance and adaptive modulation were studied. The proposed algorithm measures the link quality or channel quality using the user’s equipment and matches the information with a link quality indicator within a specified SINR interval. The proposed algorithm was developed and simulated in a mat lab and it was used to modify some parameters (SNR, BER, and Throughput) under tough channel error conditions (at the cell edge). The input variables are the modulation size (QAM 16) and SNR 4dB. The system will adjust to the modulation size that will give the highest SINR. The optimum modulation size (QAM 256) under tough channel error conditions gave the best SNR (25dB) and throughput. The signal-to-interference plus-noise ratio (SINR) performance was constructed utilizing the CQI-MID-spatial filtering model to evaluate interference under challenging channel error conditions. The CQI-MDL-spatial filtering model is so rugged in overcoming interference even at a fluctuating CSI condition. The CQI-MLD-spatial filtering model gives an SINR of 22 dB at a CSI error variance of 0.275, however, the SINR values (6dB, 11.7bB, and 16.5dB) of the other three existing algorithms are lower than the SINR value (22dB) of CQI-MLD-spatial filtering model at the same CSI error variance.
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