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

Block error rate (BLER) vs. signal-to-noise ratio (SNR) curves for 5G New Radio modulation and coding schemes (MCS) under additive white Gaussian noise (AWGN) channel conditions. The dataset, created by Méndez-Monsanto, Lianet and harvested by e-cienciaDatos, includes lookup tables for both unquantized and quantized cases, with index formats aligned to the 3GPP 5G NR TS 38.214 standard and a custom format for simplicity. It was last updated on October 14,我们发现了一个错误。

Use Cases

• Selecting appropriate Modulation and Coding Schemes (MCS) based on required BLER-SNR performance scenarios.
• Designing 5G communication systems and schedulers using standardized lookup tables.
• Implementing physical layer abstraction in link-level simulators (LLS) with pre-computed performance curves.
• Analyzing the performance impact of optimum quantization in O-RAN network contexts.

Strengths

• Curves are generated for MCS belonging to the standardized 3GPP 5G NR TS 38.214 specification.
• Includes performance data for both unquantized and quantized cases, enabling direct comparison.
• Provides lookup tables in two index formats: a custom simplified format and the corresponding 3GPP standard format.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and dataset scale are unknown, which may limit suitability assessment.
• Data is specific to AWGN channel conditions and LDPC coded scenarios, limiting generalizability to other channel models.

Provenance

Source

e-cienciaDatos Harvested Dataverse

Collection Method

Likely generated through simulation of 5G NR MCS under AWGN channel conditions.

Time Range

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Freshness

Last updated 2025-10 我们发现了一个错误。

Geography

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