Indoor and Outdoor Physical Channel Modeling and Efficient Positioning for Reconfigurable Intelligent Surfaces in mmWave Bands
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Abstract (arXiv)
Reconfigurable intelligent surface (RIS)-assisted communication appears as one of the potential enablers for sixth generation (6G) wireless networks by providing a new degree of freedom in the system design to telecom operators. Particularly, RIS-empowered millimeter wave (mmWave) communication systems can be a remedy to provide broadband and ubiquitous connectivity. This paper aims to fill an important gap in the open literature by providing a physical, accurate, open-source, and widely applicable RIS channel model for mmWave frequencies. Our model is not only applicable in various indoor and outdoor environments but also includes the physical characteristics of wireless propagation in the presence of RISs by considering 5G radio channel conditions. Various deployment scenarios are presented for RISs and useful insights are provided for system designers from the perspective of potential RIS use-cases and their efficient positioning. The scenarios in which the use of an RIS makes a big difference or might not have a big impact on the communication system performance, are revealed. The open-source and comprehensive SimRIS Channel Simulator is also introduced in this paper.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 31 May 2020.
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Citing papers per year: 2021: 3; 2022: 0; 2023: 0; 2024: 0; 2025: 1.
4 papers.
- 2021Federated Distributionally Robust Optimization for Phase Configuration of RISscited by 2
- 2025Channel Estimation for RIS-Assisted mmWave Systems via Diffusion Modelscited by 2
- 2021Channel Estimation and Hybrid Architectures for RIS-Assisted Communicationscited by 1
- 2021Robust Reconfigurable Intelligent Surfaces via Invariant Risk and Causal Representationscited by 1
- 2025Channel Estimation for RIS-Assisted mmWave Systems via Diffusion Models9 Jun 2025
- 2021Federated Distributionally Robust Optimization for Phase Configuration of RISs20 Aug 2021
- 2021Robust Reconfigurable Intelligent Surfaces via Invariant Risk and Causal Representations4 May 2021
- 2021Channel Estimation and Hybrid Architectures for RIS-Assisted Communications14 Apr 2021