🤖 AI Summary
This work addresses the challenge of achieving uniform spatial coverage with conventional uniform codebooks, which suffer from nonlinear mapping between angular and user-plane domains. Leveraging principles from geometrical optics, the authors propose a geometry-aware non-uniform offline codebook for optical intelligent reflecting surfaces (IRS), where codewords are tailored to the physical positions of IRS elements to enhance coverage uniformity on the user plane. The proposed design significantly improves spatial mapping uniformity while reducing the number of required codewords. Furthermore, the study reveals that sweep-angle resolution has a greater impact on channel modeling accuracy than tilt-angle resolution. Experimental evaluation using the Frobenius norm to quantify channel estimation error demonstrates that the approach effectively balances coverage performance and resource efficiency.
📝 Abstract
Optical intelligent reflecting surfaces (OIRS) can improve the coverage of indoor visible light communication (VLC) systems, however, practical deployment requires a finite offline codebook to avoid repeated real-time optimisation of mirror orientations. A uniform codebook with fixed angular steps does not provide uniform coverage on the user plane, because the mapping from steering angles to reflection locations on the user plane is nonlinear. To address this problem, this paper proposes a geometric-optics-based non-uniform codebook design for OIRS-assisted VLC systems. The proposed method constructs an individual codebook for each IRS element according to its geometric position, so that the reflected beams are distributed more uniformly over the user plane. The codebook accuracy is evaluated using the Frobenius norm of the channel error matrix. Simulation results show that the proposed design provides more uniform spatial mapping with fewer codewords than the uniform codebook, and that the sweep-angle resolution has a stronger effect on the codebook accuracy than the tilt-angle resolution.