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Next-generation wireless communication systems will face various demands, including exponentially increasing data rates, ensuring ultra low power consumption for battery-operated communication sensors, and providing extremely short response times critical for control applications. To meet these flexible requirements, a unified physical layer waveform has been proposed, known as Generalized Frequency Division Multiplexing (GFDM), designed for beyond 5G (B5G) communication systems. One of the key features of GFDM is the use of flexible prototype pulse-shaping filters, which leads to improved performance. In this paper, the performance of the GFDM system is analysed for the Discrete Gabor Transform (DGT) based filter over fluctuating two-ray (FTR) fading channel with zero forcing (ZF) receiver. The GFDM performance is analysed in terms of average symbol error rate (ASER) and Noise Enhancement Factor (NEF) for 16 QAM modulation scheme.

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Performance Analysis of GFDM System Using DGT-Based Filter over FTR mmWave Channels

  • 会议论文

  • 发表日期：

    2026年

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  • Manpreet Kaur,
  • Hem Dutt Joshi

摘要

Next-generation wireless communication systems will face various demands, including exponentially increasing data rates, ensuring ultra low power consumption for battery-operated communication sensors, and providing extremely short response times critical for control applications. To meet these flexible requirements, a unified physical layer waveform has been proposed, known as Generalized Frequency Division Multiplexing (GFDM), designed for beyond 5G (B5G) communication systems. One of the key features of GFDM is the use of flexible prototype pulse-shaping filters, which leads to improved performance. In this paper, the performance of the GFDM system is analysed for the Discrete Gabor Transform (DGT) based filter over fluctuating two-ray (FTR) fading channel with zero forcing (ZF) receiver. The GFDM performance is analysed in terms of average symbol error rate (ASER) and Noise Enhancement Factor (NEF) for 16 QAM modulation scheme.