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The evolution of wireless technologies has reached a peak with the deployment of fifth-generation (5G) networks, which bring greater reliability and lower latency to wireless communications. The physical layer governs how data is processed and transferred between devices. Among its major components is the Physical Downlink Shared Channel (PDSCH), which carries user data from the base station to the device. In this paper, we present a simulation-based evaluation of PDSCH performance using MATLAB’s 5G Toolbox. We evaluate PDSCH performance under different signal-to-noise ratio (SNR) levels and compare three precoding techniques—Zero Forcing (ZF), Regularized Zero Forcing (RZF), and Maximum Ratio Transmission (MRT)—to assess their impact on system performance. Key parameters such as bit error rate (BER), block error rate (BLER), and throughput are measured. The results show that the precoding strategy significantly affects transmission quality and efficiency, with RZF achieving a good balance between performance and complexity.

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5G Physical Layer Analysis

  • 会议论文

  • 发表日期：

    2026年

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  • C. Nikita,
  • M. Shashank,
  • A. Kruthika,
  • A. Basayya,
  • T. Amit,
  • Suneeta V. Budihal

摘要

The evolution of wireless technologies has reached a peak with the deployment of fifth-generation (5G) networks, which bring greater reliability and lower latency to wireless communications. The physical layer governs how data is processed and transferred between devices. Among its major components is the Physical Downlink Shared Channel (PDSCH), which carries user data from the base station to the device. In this paper, we present a simulation-based evaluation of PDSCH performance using MATLAB’s 5G Toolbox. We evaluate PDSCH performance under different signal-to-noise ratio (SNR) levels and compare three precoding techniques—Zero Forcing (ZF), Regularized Zero Forcing (RZF), and Maximum Ratio Transmission (MRT)—to assess their impact on system performance. Key parameters such as bit error rate (BER), block error rate (BLER), and throughput are measured. The results show that the precoding strategy significantly affects transmission quality and efficiency, with RZF achieving a good balance between performance and complexity.