论文标题
基于可重构智能表面的认知无线网络
Reconfigurable Intelligent Surfaces based Cognitive Radio Networks
论文作者
论文摘要
在过去的十年中,认知无线电(CRS)已成为通过动态频谱访问技术提高频谱效率的技术。最近,随着研究兴趣正在超越5G通信,诸如可重构智能表面(RISS)之类的新技术已经成为智能无线电环境的推动者,以进一步提高信号覆盖率和频谱管理功能。基于CRS和RIS的承诺,本文试图研究在网络中采用这两个概念的概念,以作为最大程度地利用可用的潜在收益。本文考虑了基于RIS的网络的两个单独的模型,并分析了与CR二级用户相关的几个性能指标。提出了蒙特卡洛模拟以验证派生表达式。结果表明,在存在RIS增强的主要网络的情况下,系统的关键参数和CR网络的明显改进的影响。
Over the last decade, cognitive radios (CRs) have emerged as a technology for improving spectrum efficiency through dynamic spectrum access techniques. More recently, as research interest is shifting beyond 5G communications, new technologies such as reconfigurable intelligent surfaces (RISs) have emerged as enablers of smart radio environments, to further improve signal coverage and spectrum management capabilities. Based on the promise of CRs and RISs, this paper seeks to investigate the concept of adopting both concepts within a network as a means of maximizing the potential benefits available. The paper considers two separate models of RIS-based networks and analyzes several performance metrics associated with the CR secondary user. Monte Carlo simulations are presented to validate the derived expressions. The results indicate the effects of key parameters of the system and the clear improvement of the CR network, in the presence of a RIS-enhanced primary network.