Electrical Engineering and Systems Science > Signal Processing
[Submitted on 13 Jul 2019 (v1), last revised 25 Feb 2020 (this version, v4)]
Title:Intelligent Reflecting Surface: Practical Phase Shift Model and Beamforming Optimization
View PDFAbstract: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.
Submission history
From: Samith Abeywickrama [view email][v1] Sat, 13 Jul 2019 02:52:07 UTC (1,467 KB)
[v2] Wed, 7 Aug 2019 16:04:35 UTC (1,467 KB)
[v3] Thu, 24 Oct 2019 07:34:09 UTC (687 KB)
[v4] Tue, 25 Feb 2020 15:45:21 UTC (689 KB)
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