Scholarlink

<p>Future wireless communications systems are expected to operate at bands above 100&#xa0;GHz. The high energy consumption of analog-to-digital converters, due to their high resolution, represents a bottleneck for future wireless communications systems that require low energy consumption and low complexity devices at the receiver. In this regard, we devise a novel precoding method based on quality of service constraints for a multiuser multiple-input multiple-output downlink system with 1-bit quantization and oversampling. For this scenario, the time-instance zero-crossing modulation, which conveys the information into the zero-crossings, is considered. Unlike prior studies, the constraint is given in terms of the symbol error probability related to the minimum distance to the decision threshold. Numerical results illustrate the performance of the proposed precoding method evaluated under different parameters and scenarios.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Symbol error probability constrained precoding for systems with time-instance zero-crossing modulation and 1-bit ADCs

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年9月15日

查看全文
  • Diana M. V. Melo,
  • Lukas T. N. Landau,
  • Rodrigo C. de Lamare

摘要

Future wireless communications systems are expected to operate at bands above 100 GHz. The high energy consumption of analog-to-digital converters, due to their high resolution, represents a bottleneck for future wireless communications systems that require low energy consumption and low complexity devices at the receiver. In this regard, we devise a novel precoding method based on quality of service constraints for a multiuser multiple-input multiple-output downlink system with 1-bit quantization and oversampling. For this scenario, the time-instance zero-crossing modulation, which conveys the information into the zero-crossings, is considered. Unlike prior studies, the constraint is given in terms of the symbol error probability related to the minimum distance to the decision threshold. Numerical results illustrate the performance of the proposed precoding method evaluated under different parameters and scenarios.