Path Loss Modeling and Measurements for Reconfigurable Intelligent Surfaces in the Millimeter-Wave Frequency BandShow others and affiliations
2022 (English)In: IEEE Transactions on Communications, ISSN 0090-6778, E-ISSN 1558-0857, Vol. 70, no 9, p. 6259-6276Article in journal (Refereed) Published
Abstract [en]
Reconfigurable intelligent surfaces (RISs) provide an interface between the electromagnetic world of wireless propagation environments and the digital world of information science. Simple yet sufficiently accurate path loss models for RISs are an important basis for theoretical analysis and optimization of RIS-assisted wireless communication systems. In this paper, we refine our previously proposed free-space path loss model for RISs to make it simpler, more applicable, and easier to use. The impact of the antenna's directivity of the transmitter, receiver, and the unit cells of the RIS on the path loss is explicitly formulated as an angle-dependent loss factor. The refined model gives more accurate estimates of the path loss of RISs comprised of unit cells with a deep sub-wavelength size. Based on the proposed model, the properties of a single unit cell are evaluated in terms of scattering performance, power consumption, and area, which allows us to unveil fundamental considerations for deploying RISs in high frequency bands. Two fabricated RISs operating in the millimeter-wave (mmWave) band are utilized to carry out a measurement campaign. The measurement results are shown to be in good agreement with the proposed path loss model. In addition, the experimental results suggest an effective form to characterize the power radiation pattern of the unit cell for path loss modeling.
Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2022. Vol. 70, no 9, p. 6259-6276
Keywords [en]
Wireless communication, Loss measurement, Propagation losses, Antenna radiation patterns, Millimeter wave measurements, Frequency measurement, Scattering, Path loss, reconfigurable intelligent surface, millimeter-wave, intelligent reflecting surface, metasurface, wireless propagation measurements
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering Telecommunications Signal Processing
Identifiers
URN: urn:nbn:se:kth:diva-319540DOI: 10.1109/TCOMM.2022.3193400ISI: 000854601700043Scopus ID: 2-s2.0-85135735431OAI: oai:DiVA.org:kth-319540DiVA, id: diva2:1701196
Note
QC 20221005
2022-10-052022-10-052022-10-05Bibliographically approved