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arXiv 1907.06002eess.SPcs.ITmath.IT
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智能反射面:实用相移模型及波束形成优化

Intelligent Reflecting Surface: Practical Phase Shift Model and Beamforming Optimization

Samith Abeywickrama, Rui Zhang, Chau Yuen

摘要:

智能反射表面(IRS)能够控制无线传播环境,被认为是未来无线通信系统中提高频谱和能量效率的有前途的技术。关于IRS的现有工作主要基于理想相移模型,该理想相移模型假设由每个元件的全信号反射而不管其相移,然而,这实际上难以实现。相比之下,我们在本文中提出了一个实用的相移模型,捕捉相位相关的幅度变化的元素的反射系数。将此模型应用于IRS辅助的无线系统中,通过联合优化发射波束形成和IRS反射波束形成来最大化其可达速率。所制定的问题是非凸的,很难在一般情况下,我们提出了一个低复杂度的次优解的交替优化(AO)技术的基础上。仿真结果表明,与传统的理想波束形成模型相比,基于该相移模型的联合波束形成优化具有显著的性能增益。

英文摘要:

Intelligent reflecting surface (IRS) that enables the control of the wireless propagation environment has been looked upon as a promising technology for boosting the spectrum and energy efficiency in future wireless communication systems. Prior works on IRS are mainly based on the ideal phase shift model assuming the full signal reflection by each of the elements regardless of its phase shift, which, however, is practically difficult to realize. In contrast, we propose in this paper a practical phase shift model that captures the phase-dependent amplitude variation in the element-wise reflection coefficient. Applying this new model to an IRS-aided wireless system, we formulate a problem to maximize its achievable rate by jointly optimizing the transmit beamforming and the IRS reflect beamforming. The formulated problem is non-convex and difficult to be optimally solved in general, for which we propose a low-complexity suboptimal solution based on the alternating optimization (AO) technique. Simulation results unveil a substantial performance gain achieved by the joint beamforming optimization based on the proposed phase shift model as compared to the conventional ideal model.

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