基于智能反射面的6G无线网络能效优化研究

Research on Energy Efficiency Optimization of 6G Wireless Networks Based on Intelligent Reflecting Surface

摘要:

智能反射面为6G无线网络能效优化提供了革新性解决方案。文中聚焦IRS辅助的多用户下行链路,建立了基站预编码、IRS相位调控与功率分配的联合优化模型,提出了“交替优化-深度强化学习”融合的动态能效提升框架。研究揭示了IRS电路功耗与基站发射功率的动态平衡机制,为绿色6G网络提供从理论建模到实时部署的全链路技术支撑。

Abstract:

The intelligent reflector provides an innovative solution for 6G wireless network energy efficiency optimization. Focusing on the multi-user downlink assisted by IRS, this paper establishes a joint optimization model of base station precoding, IRS phase adjustment and power allocation, and proposes a dynamic energy efficiency improvement framework integrating “alternate optimization-deep reinforcement learning”. The research reveals the dynamic balance mechanism between IRS circuit power consumption and base station transmission power, providing full link technical support from theoretical modeling to real-time deployment for green 6G networks.