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Reconfigurable intelligent surfaces (RISs) have attracted increasing interestfrom both academia and industry, thanks to their unique features on controllingelectromagnetic (EM) waves. Although theoretical models of RIS-empoweredcommunications have covered a variety of applications, yet, very few papershave investigated the modeling of the real propagation characteristics. In thispaper, we fill this gap by providing an empirical statistical channel model todescribe the small-scale channel variations for RIS-assisted broadband systemat 2.6 GHz. Based on real channel measurements in outdoor, indoor andoutdoor-to-indoor (O2I) environments, we compare and analyze the global,inter-cluster and intra-cluster parameters. Measurement results indicate thatthe intelligent reflection through an RIS can significantly improve the channelquality by enhancing the $K$-factor and reducing the time dispersion. Thesmall-scale fading is well characterized by the proposed statistical model andthe empirical channel parameters. These results are essential for the design ofemerging RIS-assisted wireless systems and communication specifications infuture applications.

Measurement-Based Small-Scale Channel Model for Sub-6 GHz RIS-Assisted Communications