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<p>The evolution of dedicated power communication networks requires higher capacity and reliability for services like high-definition video and real-time data transmission. Traditional systems assume proper (circularly symmetric) signals, but improper signals—prevalent in modulations such as binary phase shift keying (BPSK) and amplitude shift keying (ASK)—offer asymmetric statistics that can be exploited for improved performance in multi-user multiple-input single-output (MU-MISO) systems. This paper addresses the gap by proposing widely linear precoding and reception techniques that integrate interference exploitation for improper signals. Two schemes are introduced: Widely Linear Zero-Forcing (WLZF) and Widely Linear Minimum Mean Square Error (WLMMSE), paired with optimal widely linear receivers. Simulations show significant improvements in signal-to-noise ratio (SNR) and bit error rate (BER) over conventional methods, providing valuable insights for high-reliability, low-latency networks.</p>

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Widely linear precoding with interference exploitation for improper signals in MU-MISO systems

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年5月25日

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  • Qiusheng Gao,
  • Jiaju Zhang,
  • Xianglong Meng,
  • Sinuo Jiao,
  • Junpeng Zhang

摘要

The evolution of dedicated power communication networks requires higher capacity and reliability for services like high-definition video and real-time data transmission. Traditional systems assume proper (circularly symmetric) signals, but improper signals—prevalent in modulations such as binary phase shift keying (BPSK) and amplitude shift keying (ASK)—offer asymmetric statistics that can be exploited for improved performance in multi-user multiple-input single-output (MU-MISO) systems. This paper addresses the gap by proposing widely linear precoding and reception techniques that integrate interference exploitation for improper signals. Two schemes are introduced: Widely Linear Zero-Forcing (WLZF) and Widely Linear Minimum Mean Square Error (WLMMSE), paired with optimal widely linear receivers. Simulations show significant improvements in signal-to-noise ratio (SNR) and bit error rate (BER) over conventional methods, providing valuable insights for high-reliability, low-latency networks.