The synergy of fluid-based reconfigurable antenna (FA) technology and full-duplex (FD) communications can be jointly beneficial, as FD can enhance the spectral efficiency of a point-to-point link, while the new degree of freedom offered by the FA technology can be exploited to handle the overall interference. Hence, in this paper, an analytical framework based on stochastic geometry is developed, aiming to assess both the outage and average sum-rate performance of large-scale FA-aided FD cellular networks. In contrast to existing studies, where perfect channel state information is assumed, the developed framework accurately captures the impact of channel estimation (CE) on the performance of the considered network deployments, as well as the existence of residual loop-interference (LI) at the FD transceivers. Particularly, we focus on a limited coherence interval scenario, where a novel sequential linear minimum-mean-squared-error-based CE method is performed for all FA ports and LI links, followed by data reception from the port with the strongest estimated channel. By using stochastic geometry tools, analytical expressions for the outage and the average sum-rate performance are derived. Our results reveal that FA-aided FD communications experience an improved average sum-rate performance of around 45\% compared to conventional FD communications.
翻译:流体天线(Fluid-based reconfigurable antenna,简称FA)技术和全双工(Full Duplex,简称FD)通信的协同作用能够相互受益,因为FD可以提高点对点通信的频谱效率,而FA技术提供的新自由度可以用于处理整体干扰。因此,本文开发了一种基于随机几何的分析框架,旨在评估大规模FA辅助FD蜂窝网络的故障和平均总速率性能。与现有研究不同,本研究假定了完美的信道状态信息,该框架准确地捕捉了信道估计(CE)对所考虑的网络部署性能的影响,以及FD收发机中残余的环路干扰(LI)。特别是,我们集中研究有限的相干间隔场景,在这个场景下,为FA端口和LI链路执行一种新的基于顺序线性最小均方误差的CE方法,然后从最强的估计信道的端口接收数据。通过使用随机几何工具,导出了故障和平均总速率性能的解析表达式。我们的结果显示,与传统的FD通信相比,FA辅助的FD通信经历了约45%的平均总速率性能改善。