Intelligent Omni-Surfaces: Ubiquitous Wireless Transmission by Reflective-Refractive Metasurfaces
Shuhang Zhanga b, Hongliang Zhangc d, Boya Dia b, Yunhua Tana b, Marco Di Renzoe f g h, Zhu Hani j k, H. Vincent Poorc d, Lingyang Songa b
- aDepartment of Electronics, Peking University, Beijing, China
- bPeking University [Beijing] (No.5 Yiheyuan Road Haidian District, Beijing, P.R.China 100871 - China)
- cDepartment of Electrical and Computer Engineering, Princeton University, Princeton, NJ, USA
- dPrinceton University (Princeton, NJ 08544 USA - United States)
- eLaboratoire des Signaux et Systèmes, Université Paris-Saclay, CNRS, CentraleSupélec, Gif-sur-Yvette, France
- fCNRS - Centre National de la Recherche Scientifique (France)
- gL2S - Laboratoire des signaux et systèmes (Plateau de Moulon 3 rue Joliot Curie 91192 GIF SUR YVETTE CEDEX - France)
- hUniversité Paris-Saclay (Bâtiment Bréguet, 3 Rue Joliot Curie 2e ét, 91190 Gif-sur-Yvette - France)
- iDepartment of Computer Science and Engineering, Kyung Hee University, Seoul, South Korea
- jDepartment of Electrical and Computer Engineering, University of Houston, Houston, TX, USA
Papers open inside SciRah from the original publisher or repository; SciRah never hosts them.
Abstract
Intelligent reflecting surfaces (IRSs), which are capable of adjusting radio propagation conditions by controlling the phase shifts of the waves that impinge on the surface, have been widely analyzed for enhancing the performance of wireless systems. However, the reflective properties of widely studied IRSs restrict the service coverage to only one side of the surface. In this paper, to extend the wireless coverage of communication systems, we introduce the concept of intelligent omni-surface (IOS)-assisted communication. More precisely, an IOS is an important instance of a reconfigurable intelligent surface (RIS) that can provide service coverage to mobile users (MUs) in a reflective and a refractive manner. We consider a downlink IOS-assisted communication system, where a multi-antenna small base station (SBS) and an IOS jointly perform beamforming, for improving the received power of multiple MUs on both sides of the IOS, through different reflective/refractive channels. To maximize the sum-rate, we formulate a joint IOS phase shift design and SBS beamforming optimization problem, and propose an iterative algorithm to efficiently solve the resulting non-convex program. Both theoretical analysis and simulation results show that an IOS significantly extends the service coverage of the SBS when compared to an IRS.