Energy-Efficient Simulcasting and Reflecting Recongurable Intelligent Surface in SWIPT Systems

In recent years, there has been growing interest in simultaneously transmitting and reflecting-reconfigurable intelligent surface (STAR-RIS) assisted wireless power transfer systems. These systems have the potential to improve energy harvesting and transmission efficiency while providing fresh information to users. However, there is limited research on the impact of STAR-RIS on minimizing age of information (AoI), a crucial metric for assessing the freshness of information.
This paper addresses this gap by investigating the potential impact of STAR-RIS on AoI in simultaneously transmitting and reflecting-reconfigurable intelligent surface (STAR-RIS) assisted wireless power transfer systems. The authors present a novel optimization problem that minimizes the average sum-AoI while satisfying energy harvesting requirements. They demonstrate that STAR-RIS can significantly reduce AoI compared to traditional RIS in SWIPT systems.
The authors analyze the impact of different parameters on AoI and provide insights into how STAR-RIS can be used to improve system performance. They also explore the potential of STAR-RIS to enhance information freshness in cooperative autonomous driving and other emerging applications.
In summary, this paper provides a comprehensive analysis of the impact of STAR-RIS on AoI in SWIPT systems, demonstrating its potential to improve energy efficiency while providing fresh information to users. The authors provide valuable insights into how STAR-RIS can be used to optimize system performance and enhance information freshness in various applications.