Journal
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
Volume 21, Issue 1, Pages 219-233Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TWC.2021.3094869
Keywords
Array signal processing; Wireless communication; Communication systems; PIN photodiodes; Downlink; Surface waves; Optimization; Intelligent omni-surface; phase shift design; analog and digital beamforming
Funding
- National Natural Science Foundation of China [61931019, 61625101, 61829101, 61941101]
- U.S. National Science Foundation [EARS-1839818, CNS-1717454, CNS-1731424, CNS-1702850, CCF-1908308]
- European Commission through the H2020 ARIADNE Project [871464]
- European Commission through the H2020 RISE-6G Project [101017011]
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This paper introduces the concept of intelligent omni-surface (IOS) assisted communication, which is an important instance of a reconfigurable intelligent surface (RIS) that provides service coverage through reflection and refraction. The study considers a downlink IOS-assisted communication system that optimizes IOS phase shift design and small base station (SBS) beamforming to improve the received power of multiple mobile users (MUs).
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.
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