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<p>With the advent of next-generation wireless technologies, there is a growing need for faster, more reliable, and highly efficient data transmission systems. The goals of next-generations wireless communication systems, especially 6G, are improved connectivity, reduced latency, and faster data rates. But several challenges must be overcome to provide reliable error-correction in 6G networks. This research investigates the performance of Quadrature Amplitude Modulation (QAM) Quasi-Cyclic Low-Density Parity-Check (QC-LDPC) QAM Turbo code, QAM LDPC code, and QAM Polar coding schemes for high-speed data transmission in 6G systems. QC-LDPC offers better trade-offs between error-correction capability, complexity, and implementation feasibility, making it ideal for high-speed 6G communications. The channel-coded data is broadcast over a simulated 6G Rayleigh fading channel, including compensation for real-world impairments such as noise, interference, and fading. The use of an advanced QC-LDPC decoding technique, including an SC Decoding algorithm, CRC Codes, Sequence Interleaving, and Error Pattern Analysis through Error Correction Decoding, will improve the performance of QC-LDPC codes over FSO channels. Deep Long Short-Term Memory (Deep LSTM) is used for decoding, leveraging its capacity to process sequential input to effectively repair errors. Using MATLAB models, the performance of each coding scheme is assessed in terms of Block length, Complexity, Block Error Rate (BLER), Signal to Noise Ratio (SNR), spectrum efficiency, Bit Error Rate (BER), and noise susceptibility. The findings offer a comparative analysis and improvements to enhance the reliability and efficiency of mobile broadband communications in the next generation.</p>

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Performance Evaluation of QAM-QC LDPC Coding in 6G Systems: A Comparative Study with QAM Turbo, QAM Polar and QAM LDPC Coding

  • 期刊论文

  • 发表日期：

    2026年3月24日

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  • J. Mohana,
  • H. Somashekar

摘要

With the advent of next-generation wireless technologies, there is a growing need for faster, more reliable, and highly efficient data transmission systems. The goals of next-generations wireless communication systems, especially 6G, are improved connectivity, reduced latency, and faster data rates. But several challenges must be overcome to provide reliable error-correction in 6G networks. This research investigates the performance of Quadrature Amplitude Modulation (QAM) Quasi-Cyclic Low-Density Parity-Check (QC-LDPC) QAM Turbo code, QAM LDPC code, and QAM Polar coding schemes for high-speed data transmission in 6G systems. QC-LDPC offers better trade-offs between error-correction capability, complexity, and implementation feasibility, making it ideal for high-speed 6G communications. The channel-coded data is broadcast over a simulated 6G Rayleigh fading channel, including compensation for real-world impairments such as noise, interference, and fading. The use of an advanced QC-LDPC decoding technique, including an SC Decoding algorithm, CRC Codes, Sequence Interleaving, and Error Pattern Analysis through Error Correction Decoding, will improve the performance of QC-LDPC codes over FSO channels. Deep Long Short-Term Memory (Deep LSTM) is used for decoding, leveraging its capacity to process sequential input to effectively repair errors. Using MATLAB models, the performance of each coding scheme is assessed in terms of Block length, Complexity, Block Error Rate (BLER), Signal to Noise Ratio (SNR), spectrum efficiency, Bit Error Rate (BER), and noise susceptibility. The findings offer a comparative analysis and improvements to enhance the reliability and efficiency of mobile broadband communications in the next generation.