Reflection probability in wireless networks with metasurface-coated environmental objects: an approach based on random spatial processes
An emerging and promising vision of wireless networks consists of coating the environmental objects with reconfigurable metasurfaces that are capable of modifying the radio waves impinging upon them according to the generalized law of reflection. By relying on tools from point processes, stochastic...
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| Published in | EURASIP journal on wireless communications and networking Vol. 2019; no. 1; pp. 1 - 15 |
|---|---|
| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
Cham
Springer International Publishing
23.04.2019
Springer Nature B.V SpringerOpen |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1687-1499 1687-1472 1687-1499 |
| DOI | 10.1186/s13638-019-1403-7 |
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| Abstract | An emerging and promising vision of wireless networks consists of coating the environmental objects with reconfigurable metasurfaces that are capable of modifying the radio waves impinging upon them according to the generalized law of reflection. By relying on tools from point processes, stochastic geometry, and random spatial processes, we model the environmental objects with a modified random line process of fixed length and with random orientations and locations. Based on the proposed modeling approach, we develop the first analytical framework that provides one with the probability that a randomly distributed object that is coated with a reconfigurable metasurface acts as a reflector for a given pair of transmitter and receiver. In contrast to the conventional network setup where the environmental objects are not coated with reconfigurable metasurfaces, we prove that the probability that the typical random object acts as a reflector is independent of the length of the object itself. The proposed analytical approach is validated against Monte Carlo simulations, and numerical illustrations are given and discussed. |
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| AbstractList | An emerging and promising vision of wireless networks consists of coating the environmental objects with reconfigurable metasurfaces that are capable of modifying the radio waves impinging upon them according to the generalized law of reflection. By relying on tools from point processes, stochastic geometry, and random spatial processes, we model the environmental objects with a modified random line process of fixed length and with random orientations and locations. Based on the proposed modeling approach, we develop the first analytical framework that provides one with the probability that a randomly distributed object that is coated with a reconfigurable metasurface acts as a reflector for a given pair of transmitter and receiver. In contrast to the conventional network setup where the environmental objects are not coated with reconfigurable metasurfaces, we prove that the probability that the typical random object acts as a reflector is independent of the length of the object itself. The proposed analytical approach is validated against Monte Carlo simulations, and numerical illustrations are given and discussed. Abstract An emerging and promising vision of wireless networks consists of coating the environmental objects with reconfigurable metasurfaces that are capable of modifying the radio waves impinging upon them according to the generalized law of reflection. By relying on tools from point processes, stochastic geometry, and random spatial processes, we model the environmental objects with a modified random line process of fixed length and with random orientations and locations. Based on the proposed modeling approach, we develop the first analytical framework that provides one with the probability that a randomly distributed object that is coated with a reconfigurable metasurface acts as a reflector for a given pair of transmitter and receiver. In contrast to the conventional network setup where the environmental objects are not coated with reconfigurable metasurfaces, we prove that the probability that the typical random object acts as a reflector is independent of the length of the object itself. The proposed analytical approach is validated against Monte Carlo simulations, and numerical illustrations are given and discussed. |
| ArticleNumber | 99 |
| Author | Di Renzo, Marco Song, Jian |
| Author_xml | – sequence: 1 givenname: Marco orcidid: 0000-0003-0772-8793 surname: Di Renzo fullname: Di Renzo, Marco email: marco.direnzo@l2s.centralesupelec.fr organization: Laboratoire des Signaux et Systèmes, CNRS, CentraleSupelec, Univ Paris-Sud, Université Paris-Saclay – sequence: 2 givenname: Jian surname: Song fullname: Song, Jian organization: Laboratoire des Signaux et Systèmes, CNRS, CentraleSupelec, Univ Paris-Sud, Université Paris-Saclay |
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| Keywords | Stochastic geometry Reflection probability Random spatial processes Reconfigurable metasurfaces Wireless networks |
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| References_xml | – reference: R. Chandra, K. Winstein, in ACM workshop on hot topics in networks. Programmable Radio Environments for Smart Spaces - HotNets-XVI Dialogue (Palo Alto, 2017). – reference: La SpadaL.Metamaterials for Advanced Sensing PlatformsRes. J. Opt. Photonics20177141610.4236/opj.2017.78B003 – reference: Di RenzoM.Stochastic geometry modeling analysis of multi-tier millimeter wave cellular networksIEEE Trans. Wirel. Commun.20151495038—505710.1109/TWC.2015.2431689 – reference: LiaskosC.TsioliaridouA.PitsillidesA.IoannidisS.AkyildizI. F.Using any surface to realize a new paradigm for wireless communicationsCommun. ACM20186111303310.1145/3192336 – reference: Di RenzoM.LuW.GuanP.The intensity matching approach: a tractable stochastic geometry approximation to system-level analysis of cellular networksIEEE Trans. Wirel. Commun.20161595963—598310.1109/TWC.2016.2574852 – reference: P. Hu, P. Zhang, M. Rostami, D. Ganesan. 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| Snippet | An emerging and promising vision of wireless networks consists of coating the environmental objects with reconfigurable metasurfaces that are capable of... Abstract An emerging and promising vision of wireless networks consists of coating the environmental objects with reconfigurable metasurfaces that are capable... |
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| SubjectTerms | 5Gwireless - Innovative Architectures Coating Communications Engineering Computer Science Computer simulation Engineering Information Systems Applications (incl.Internet) Information Theory Mathematical models Metasurfaces Networks Radio waves Random spatial processes Reconfigurable metasurfaces Reconfiguration Reflection Reflection probability Signal,Image and Speech Processing Stochastic geometry Wireless networks Wireless Technologies and Tools for High Capacity and Sustainable 5G Ultra-Dense Cellular Networks |
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| Title | Reflection probability in wireless networks with metasurface-coated environmental objects: an approach based on random spatial processes |
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