Reflection probability in wireless networks with metasurface-coated environmental objects: an approach based on random spatial processes

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.
Document type :
Journal articles
Complete list of metadatas

Cited literature [33 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-02387597
Contributor : Jian Song <>
Submitted on : Friday, November 29, 2019 - 8:26:55 PM
Last modification on : Wednesday, January 15, 2020 - 1:41:37 PM

File

DiRenzo-Song2019_Article_Refle...
Publisher files allowed on an open archive

Identifiers

Citation

Marco Renzo, Jian Song. Reflection probability in wireless networks with metasurface-coated environmental objects: an approach based on random spatial processes. EURASIP Journal on Wireless Communications and Networking, SpringerOpen, 2019, 2019 (1), ⟨10.1186/s13638-019-1403-7⟩. ⟨hal-02387597⟩

Share

Metrics

Record views

37

Files downloads

38