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This paper presents a simulation-based study of standalone 5G networks focusing on such key performance metrics as latency, throughput, and packet loss. Three network configurations-Small Cells, Massive MIMO, and Beamforming-are considered for evaluating their impact on network performance. Three types of traffic-Voice, Video, and IoT, with different data requirements-are also considered in this study. The simulation models the real-world scenario using a 3.5 GHz carrier frequency and 100 MHz bandwidth with different modulation schemes (QPSK, 16 QAM, 64 QAM) and coding rates (0.5, 0.7, 0.9). The performance metrics are calculated through a combination of signal-tonoise ratio, resource block allocation, and transport block size. The results are visualized by line and bar plots, emphasizing the efficiency and trade-offs of different configurations under diverse traffic scenarios. This work explains the main issues of making 5G networks more dependable and efficient based on the upsurge in demand of high-speed-low-latency in modern applications.

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Evaluating 5G Network Performance: A Simulation Study of Beamforming, Massive MIMO, and Small Cells

  • 会议论文

  • 发表日期：

    2026年

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  • Narayan Irkal,
  • Sanjana Ambore,
  • Praveen Bachalapur,
  • Nihar Kulkarni,
  • Mohammed Azharuddin Adhoni,
  • Suneeta V. Budihal

摘要

This paper presents a simulation-based study of standalone 5G networks focusing on such key performance metrics as latency, throughput, and packet loss. Three network configurations-Small Cells, Massive MIMO, and Beamforming-are considered for evaluating their impact on network performance. Three types of traffic-Voice, Video, and IoT, with different data requirements-are also considered in this study. The simulation models the real-world scenario using a 3.5 GHz carrier frequency and 100 MHz bandwidth with different modulation schemes (QPSK, 16 QAM, 64 QAM) and coding rates (0.5, 0.7, 0.9). The performance metrics are calculated through a combination of signal-tonoise ratio, resource block allocation, and transport block size. The results are visualized by line and bar plots, emphasizing the efficiency and trade-offs of different configurations under diverse traffic scenarios. This work explains the main issues of making 5G networks more dependable and efficient based on the upsurge in demand of high-speed-low-latency in modern applications.