Scholarlink

<p>This paper presents a theoretical analysis of power control and gain optimization in full-duplex massive MIMO systems under varying levels of self-interference (SI). The study investigates the impact of SI on spectral efficiency (SE) and energy efficiency (EE), deriving analytical conditions for optimal uplink power and SI cancellation to ensure stable downlink performance. Unlike prior analyses that focus primarily on spectral efficiency, this study centers on energy-efficient operation, incorporating asymmetric traffic conditions and practical power constraints. An adaptive algorithm is also proposed to dynamically adjust SI cancellation for optimal EE–SE trade-off. Numerical results evaluate the system’s performance across different interference levels, antenna configurations, and distances, highlighting the role of adaptive SI mitigation. The findings demonstrate that effective power control and interference cancellation can significantly enhance EE, with improvements of up to 30% observed at shorter distances. This research provides valuable insights into the design of efficient full-duplex systems, contributing to the advancement of next-generation wireless networks.</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

Theoretical analysis of power control and energy efficiency in full-duplex massive MIMO systems

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年7月10日

查看全文
  • Kwame Salum Ibwe,
  • Libe Valentine Massawe

摘要

This paper presents a theoretical analysis of power control and gain optimization in full-duplex massive MIMO systems under varying levels of self-interference (SI). The study investigates the impact of SI on spectral efficiency (SE) and energy efficiency (EE), deriving analytical conditions for optimal uplink power and SI cancellation to ensure stable downlink performance. Unlike prior analyses that focus primarily on spectral efficiency, this study centers on energy-efficient operation, incorporating asymmetric traffic conditions and practical power constraints. An adaptive algorithm is also proposed to dynamically adjust SI cancellation for optimal EE–SE trade-off. Numerical results evaluate the system’s performance across different interference levels, antenna configurations, and distances, highlighting the role of adaptive SI mitigation. The findings demonstrate that effective power control and interference cancellation can significantly enhance EE, with improvements of up to 30% observed at shorter distances. This research provides valuable insights into the design of efficient full-duplex systems, contributing to the advancement of next-generation wireless networks.