Abstract
Targeting sixth generation (6 G) extreme connectivity, massive multiple-input multiple-output (mMIMO) systems face challenges in achieving both high data rates and low latency. Polar turbo product codes (polar-TPCs) with near-optimal error correction performance under constrained latency are promising for 6 G mMIMO applications. In this letter, we propose a dual-stage list (DSL) decoding scheme for polar-TPC coded mMIMO systems, leveraging a turbo list decoder followed by a tree-search-based post-processing method to enhance receiver performance. Moreover, we introduce a two-phase codeword validity check strategy to address the complexity challenges. Empirical results demonstrate that the receiver with our proposed DSL decoding outperforms existing receivers, achieving a superior trade-off between performance and complexity.
Funding Information
  • the National Science Foundation of China (62331009)
  • the National Science Foundation of China (62201395)
  • the National Science Foundation of China (62571121)
  • the National Science Foundation of China (62471135)
  • Jiangsu Provincial National Science Foundation (BG2024004)
  • Jiangsu Provincial National Science Foundation (BM2023016)
  • Fundamental Research Funds for the Central Universities

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