Modeling RIS Empowered Outdoor-to-Indoor Communication in mmWave Cellular Networks

With the increasing adoption of millimeter-waves (mmWave) over cellular networks, outdoor-to-indoor (O2I) communication has been one challenging research problems due to high penetration loss buildings. To address this, we investigate practicability utilizing reconfigurable intelligent surfaces (RISs) for assisting such O2I communication. We propose a new notion prefabricated RIS-empowered wall consisting large number chipless radio frequency identification (RFID) sensors. Each sensor maintains its own bank delay lines. These sensors which are built within building walls can potentially be controlled by main integrated circuit (IC) regulate phase impinging signals. evaluate our idea, develop thorough performance analysis RIS-based in mmWave network using stochastic-geometry tools blockage models. Our facilitates two closed-form approximations downlink signal-to-noise ratio (SNR) coverage probability perform extensive simulations accuracy derived expressions, thus providing observations and findings.