论文标题
主动IRS辅助无线网络的三种高率波束形成方法
Three High-rate Beamforming Methods for Active IRS-aided Wireless Network
论文作者
论文摘要
由于它可以破坏被动智能反射表面（IRS）经历的双重趋势效果，因此Active IRS正在发展一种潜在的6G无线网络的潜在技术。为了充分利用主动IRS获得的扩增增益，提出了两种高速率方法，最大比率反射（MRR）和反射比反射（SRR），这是由最大比率组合和选择性比率组合的动机。此外，MRR和SRR都处于闭合形式表达式中。为了进一步提高速率，首先提出了最大近似信号与噪声比（MAX-ASNR），它是在调整波束成式矢量和其归一化矢量之间的交替迭代基础架构。这可能会使现有的相等增益反射（EGR）的大幅提高。仿真结果表明，在速率方面，提出的三种方法的表现胜于现有方法EGR。它们的速率性能降低：MAX-ASNR，MRR，SRR和EGR。
Due to its ability of breaking the double-fading effect experienced by passive intelligent reflecting surface (IRS), active IRS is evolving a potential technique for future 6G wireless networks. To fully exploit the amplifying gain achieved by active IRS, two high-rate methods, maximum ratio reflecting (MRR) and selective ratio reflecting (SRR) are presented, which are motivated by maximum ratio combining and selective ratio combining. Moreover, both MRR and SRR are in closed-form expressions. To further improve the rate, a maximum approximate-signal-to-noise ratio (Max-ASNR) is first proposed with an alternately iterative infrastructure between adjusting the norm of beamforming vector and its normalized vector. This may make a substantial rate enhancement over existing equal-gain reflecting (EGR). Simulation results show that the proposed three methods perform much better than existing method EGR in terms of rate. They are in decreasing order of rate performance: Max-ASNR, MRR, SRR, and EGR.
