BLER-SNR Curves for 5G NR MCS under AWGN Channel with Optimum Quantization

The objective of this project is to provide a comprehensive set of block error rate (BLER) vs. signal-to-noise ratio (SNR) curves under additive white Gaussian noise (AWGN) channel conditions for 5G new radio (NR) modulation and coding schemes (MCS) belonging to the 3GPP 5G NR TS 38.214 standard, with low-density parity check (LDPC) coded scenario according to TS 38.212. To enhance practical relevance in the context of O-RAN networks, this project also introduces the effect of optimum quantization and compares the results without quantization, showing that despite system degradation, the performance remains very close to the unquantized case.
This comprehensive dataset offers valuable insights to support the selection of the most appropriate MCS depending on the required BLER-SNR scenario, serving as a guide in the design of 5G communication systems, for the scheduler, and as lookup tables for the physical layer (PHY) abstraction in link-level simulators (LLS).

These datasets include the BLER-SNR lookup tables under AWGN channel for both the coded unquantized and quantized cases.
Two index formats are used: 1) customized index format different from 3GPP standard for simplicity and ease of use, defined in the published paper, 2) corresponding index format according to 3GPP 5G NR TS 38.214 standard.