🤖 AI Summary
This work addresses the performance limitation imposed by diagonal reflection matrices in dual-polarized intelligent surfaces (PIS)-assisted wireless systems. We propose a novel fixed intelligent surface (FIS) paradigm leveraging non-diagonal reflection matrices. Unlike conventional reconfigurable intelligent surface (RIS)-based approaches requiring dynamic element tuning, our method exploits frequency-shift modulation of mobile signals combined with the intrinsic polarization coupling of FIS to activate cross-polarization channels under transmit-receive polarization mismatch. Theoretical analysis and simulations demonstrate that the proposed FIS achieves over 4× higher achievable rate than the RIS benchmark while maintaining hardware simplicity—thereby overcoming the fundamental performance ceiling of diagonal reflection designs. Our key contribution is the first identification and exploitation of the capacity gain inherent in non-diagonal reflection matrices for dual-polarized channels, paving a new pathway toward low-overhead, high-performance intelligent surface deployment.
📝 Abstract
This paper investigates wireless systems aided by dual-polarized intelligent surfaces. We compare reconfigurable intelligent surface (RIS), which adjust their reflection matrices, with movable signals operating with fixed intelligent surface (FIS), which adjust the signal frequency while the surface properties remain fixed. For both RIS and FIS, we consider surfaces with a diagonal reflection matrix, named diagonal RIS/FIS, and surfaces with a reflection matrix not limited to being diagonal, named beyond-diagonal RIS/FIS. Movable signals with FIS always outperform RIS, achieving at least a fourfold gain. When transmitter and receiver polarizations differ, beyond-diagonal FIS further enhances performance.