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<p>In the new digital era of wireless communication networks, there is a crucial demand for ubiquitous connectivity that can support a massive number of devices while delivering high-quality multimedia services. A fifth-generation (5G) network has been designed to efficiently manage this new and substantial communication traffic. Massive Multiple Input Multiple Output (MIMO) is an advanced version of conventional MIMO, featuring a significantly larger number of antennas at both the transmitter and receiver. This paper focuses on a multicarrier signal format, Universal Filtered Multi-Carrier (UFMC), a novel 5G waveform for massive MIMO systems. UFMC is considered one of the most promising waveforms for use in 5G and beyond networks due to its improved spectral efficiency, reduced out-of-band emissions, and enhanced performance in multipath environments. Higher-order Quadrature Amplitude Modulation (QAM) mapping is employed within the massive MIMO system to improve range and capacity performance. Polar-coded UFMC is also implemented to enhance system reliability, providing a more robust and efficient method for data transmission. The transmitter, receiver, and communication channel were designed and simulated based on this proposed structure. A key finding of the research reveals that while higher-order QAM increases data rate capacity, it also degrades Bit Error Rate (BER) performance. To optimise system performance, a large antenna array size is utilized at the next generation Node B (gNB), along with channel coding to improve BER performance. The results demonstrated that at 256 QAM, performance improved with a signal-to-noise ratio (SNR) gain of approximately 14&#xa0;dB as the antenna array size increased from 20 to 100.</p>

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Simulation of UFMC-Based Massive MIMO with Polar Coding for 5G and Beyond Wireless Networks

  • 期刊论文

  • 发表日期：

    2025年8月1日

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  • Smita Prajapati,
  • Ravi Sindal,
  • Ankit Saxena

摘要

In the new digital era of wireless communication networks, there is a crucial demand for ubiquitous connectivity that can support a massive number of devices while delivering high-quality multimedia services. A fifth-generation (5G) network has been designed to efficiently manage this new and substantial communication traffic. Massive Multiple Input Multiple Output (MIMO) is an advanced version of conventional MIMO, featuring a significantly larger number of antennas at both the transmitter and receiver. This paper focuses on a multicarrier signal format, Universal Filtered Multi-Carrier (UFMC), a novel 5G waveform for massive MIMO systems. UFMC is considered one of the most promising waveforms for use in 5G and beyond networks due to its improved spectral efficiency, reduced out-of-band emissions, and enhanced performance in multipath environments. Higher-order Quadrature Amplitude Modulation (QAM) mapping is employed within the massive MIMO system to improve range and capacity performance. Polar-coded UFMC is also implemented to enhance system reliability, providing a more robust and efficient method for data transmission. The transmitter, receiver, and communication channel were designed and simulated based on this proposed structure. A key finding of the research reveals that while higher-order QAM increases data rate capacity, it also degrades Bit Error Rate (BER) performance. To optimise system performance, a large antenna array size is utilized at the next generation Node B (gNB), along with channel coding to improve BER performance. The results demonstrated that at 256 QAM, performance improved with a signal-to-noise ratio (SNR) gain of approximately 14 dB as the antenna array size increased from 20 to 100.