Scholarlink

This paper presents. The rapid evolution of mobile communication has necessitated advanced technologies like 5G New Radio (NR) to support higher data rates, lower latency, and enhanced reliability. This project focuses on modeling and simulating the 5G NR downlink physical layer using MATLAB, in accordance with 3GPP standards. A custom-built link-level simulator was developed to evaluate key performance metrics—Block Error Rate (BLER), Bit Error Rate (BER), and throughput—across various channel conditions. The simulation integrates core physical layer features such as Adaptive Modulation and Coding (AMC), Multiple-Input Multiple-Output (MIMO), and Hybrid Automatic Repeat Request (HARQ). It also incorporates realistic channel models like Additive White Gaussian Noise (AWGN) and Tapped Delay Line (TDL) to assess real-world performance. The methodology involves modelling the complete transmitter-receiver chain, implementing modulation, coding (LDPC/Polar), channel estimation, scheduling, and feedback mechanisms like CQI and PMI. Simulation scenarios were tested under multiple CQI values and retransmission settings. Results demonstrate that higher CQI indices and HARQ significantly reduce BLER and improve throughput, especially under low-SNR conditions. The system achieves performance close to theoretical Shannon limits when AMC and HARQ are enabled. This simulator serves as a valuable tool for academic research and future 5G and 6G development, enabling detailed analysis and optimization of physical layer technologies.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

5G NR Physical Layer Modeling Using MATLAB

  • 会议论文

  • 发表日期：

    2026年

查看全文
  • Prajwalkumar,
  • Mahadevappa,
  • Ujwal Rachoti,
  • Shreyas Malimath,
  • Amith R. Telgar,
  • Suneeta V. Budihal

摘要

This paper presents. The rapid evolution of mobile communication has necessitated advanced technologies like 5G New Radio (NR) to support higher data rates, lower latency, and enhanced reliability. This project focuses on modeling and simulating the 5G NR downlink physical layer using MATLAB, in accordance with 3GPP standards. A custom-built link-level simulator was developed to evaluate key performance metrics—Block Error Rate (BLER), Bit Error Rate (BER), and throughput—across various channel conditions. The simulation integrates core physical layer features such as Adaptive Modulation and Coding (AMC), Multiple-Input Multiple-Output (MIMO), and Hybrid Automatic Repeat Request (HARQ). It also incorporates realistic channel models like Additive White Gaussian Noise (AWGN) and Tapped Delay Line (TDL) to assess real-world performance. The methodology involves modelling the complete transmitter-receiver chain, implementing modulation, coding (LDPC/Polar), channel estimation, scheduling, and feedback mechanisms like CQI and PMI. Simulation scenarios were tested under multiple CQI values and retransmission settings. Results demonstrate that higher CQI indices and HARQ significantly reduce BLER and improve throughput, especially under low-SNR conditions. The system achieves performance close to theoretical Shannon limits when AMC and HARQ are enabled. This simulator serves as a valuable tool for academic research and future 5G and 6G development, enabling detailed analysis and optimization of physical layer technologies.