Indoor and Outdoor Physical Channel Modeling and Efficient Positioning for Reconfigurable Intelligent Surfaces in mmWave Bands

Abstract

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.

to appear in IEEE Transactions on Communications, code packages are available at https://corelab.ku.edu.tr/tools/SimRIS/ -arXiv admin note: text overlap with arXiv:2006.00468

References in corpus (4)

• Wireless Communications with Reconfigurable Intelligent Surface: Path Loss Modeling and Experimental Measurement
• Path Loss in Reconfigurable Intelligent Surface-Enabled Channels
• White Paper on Broadband Connectivity in 6G
• Reconfigurable Intelligent Surfaces for Doppler Effect and Multipath Fading Mitigation

Cited by in corpus (9)

• Reconfigurable Intelligent Surfaces for Doppler Effect and Multipath Fading Mitigation
• Reconfigurable Intelligent Surface-Empowered MIMO Systems
• SimRIS Channel Simulator for Reconfigurable Intelligent Surface-Empowered Communication Systems
• Intelligent Reflecting Surface Aided Vehicular Communications
• Reconfigurable Intelligent Surfaces for Future Wireless Networks: A Channel Modeling Perspective
• Channel Estimation and Hybrid Architectures for RIS-Assisted Communications
• Physical Channel Modeling for RIS-Empowered Wireless Networks in Sub-6 GHz Bands
• Joint Beamforming and Phase Optimization in a Multi-user Communication System Composed of Dual Reconfigurable Intelligent Surfaces
• A 3D Non-Stationary Channel Model for 6G Wireless Systems Employing Intelligent Reflecting Surfaces with Practical Phase Shifts