TY - JOUR
T1 - Intelligent Omni-Surfaces
T2 - Ubiquitous Wireless Transmission by Reflective-Refractive Metasurfaces
AU - Zhang, Shuhang
AU - Zhang, Hongliang
AU - Di, Boya
AU - Tan, Yunhua
AU - Di Renzo, Marco
AU - Han, Zhu
AU - Vincent Poor, H.
AU - Song, Lingyang
N1 - Funding Information:
This work was supported in part by the National Natural Science Foundation of China under Grant 61931019, Grant 61625101, Grant 61829101, and Grant 61941101 and in part by the U.S. National Science Foundation under Grant EARS-1839818, Grant CNS-1717454, Grant CNS-1731424, Grant CNS-1702850, and Grant CCF-1908308. The work of Marco Di Renzo was supported in part by the European Commission through the H2020 ARIADNE Project under Grant 871464 and through the H2020 RISE-6G Project under Grant 101017011.
Publisher Copyright:
© 2002-2012 IEEE.
PY - 2022/1/1
Y1 - 2022/1/1
N2 - 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.
AB - 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.
KW - Intelligent omni-surface
KW - analog and digital beamforming
KW - phase shift design
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U2 - 10.1109/TWC.2021.3094869
DO - 10.1109/TWC.2021.3094869
M3 - Article
AN - SCOPUS:85111029224
SN - 1536-1276
VL - 21
SP - 219
EP - 233
JO - IEEE Transactions on Wireless Communications
JF - IEEE Transactions on Wireless Communications
IS - 1
ER -